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  1. Web search engine research (2012) 0.23 
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    Abstract
    "Web Search Engine Research", edited by Dirk Lewandowski, provides an understanding of Web search engines from the unique perspective of Library and Information Science. The book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, reliability of search results, query log analysis, user guidance in the search process, and the influence of search engine optimization (SEO) on results quality. While research in computer science has mainly focused on technical aspects of search engines, LIS research is centred on users' behaviour when using search engines and how this interaction can be evaluated. LIS research provides a unique perspective in intermediating between the technical aspects, user aspects and their impact on their role in knowledge acquisition. This book is directly relevant to researchers and practitioners in library and information science, computer science, including Web researchers.
    LCSH
    Web search engines
    Subject
    Web search engines
  2. Sherman, C.; Price, G.: ¬The invisible Web : uncovering information sources search engines can't see (2001) 0.16 
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    Abstract
    Enormous expanses of the Internet are unreachable with standard Web search engines. This book provides the key to finding these hidden resources by identifying how to uncover and use invisible Web resources. Mapping the invisible Web, when and how to use it, assessing the validity of the information, and the future of Web searching are topics covered in detail. Only 16 percent of Net-based information can be located using a general search engine. The other 84 percent is what is referred to as the invisible Web-made up of information stored in databases. Unlike pages on the visible Web, information in databases is generally inaccessible to the software spiders and crawlers that compile search engine indexes. As Web technology improves, more and more information is being stored in databases that feed into dynamically generated Web pages. The tips provided in this resource will ensure that those databases are exposed and Net-based research will be conducted in the most thorough and effective manner. Discusses the use of online information resources and problems caused by dynamically generated Web pages, paying special attention to information mapping, assessing the validity of information, and the future of Web searching.
  3. Sherman, C.: Google power : Unleash the full potential of Google (2005) 0.16 
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    Abstract
    With this title, readers learn to push the search engine to its limits and extract the best content from Google, without having to learn complicated code. "Google Power" takes Google users under the hood, and teaches them a wide range of advanced web search techniques, through practical examples. Its content is organised by topic, so reader learns how to conduct in-depth searches on the most popular search topics, from health to government listings to people.
    LCSH
    Web search engines
    World Wide Web
    Subject
    Web search engines
    World Wide Web
  4. Harth, A.; Hogan, A.; Umbrich, J.; Kinsella, S.; Polleres, A.; Decker, S.: Searching and browsing linked data with SWSE* (2012) 0.15 
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    Abstract
    Web search engines such as Google, Yahoo! MSN/Bing, and Ask are far from the consummate Web search solution: they do not typically produce direct answers to queries but instead typically recommend a selection of related documents from the Web. We note that in more recent years, search engines have begun to provide direct answers to prose queries matching certain common templates-for example, "population of china" or "12 euro in dollars"-but again, such functionality is limited to a small subset of popular user queries. Furthermore, search engines now provide individual and focused search interfaces over images, videos, locations, news articles, books, research papers, blogs, and real-time social media-although these tools are inarguably powerful, they are limited to their respective domains. In the general case, search engines are not suitable for complex information gathering tasks requiring aggregation from multiple indexed documents: for such tasks, users must manually aggregate tidbits of pertinent information from various pages. In effect, such limitations are predicated on the lack of machine-interpretable structure in HTML-documents, which is often limited to generic markup tags mainly concerned with document renderign and linking. Most of the real content is contained in prose text which is inherently difficult for machines to interpret.
    Object
    Semantic Web Search Engine
    Source
    Semantic search over the Web. Eds.: R. De Virgilio, et al
    Theme
    Semantic Web
  5. Stuart, D.: Web metrics for library and information professionals (2014) 0.15 
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    Abstract
    This is a practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library and information professionals as to what web metrics are available and how to assess and use them to make informed decisions and demonstrate value. As individuals and organizations increasingly use the web in addition to traditional publishing avenues and formats, this book provides the tools to unlock web metrics and evaluate the impact of this content. The key topics covered include: bibliometrics, webometrics and web metrics; data collection tools; evaluating impact on the web; evaluating social media impact; investigating relationships between actors; exploring traditional publications in a new environment; web metrics and the web of data; the future of web metrics and the library and information professional. The book will provide a practical introduction to web metrics for a wide range of library and information professionals, from the bibliometrician wanting to demonstrate the wider impact of a researcher's work than can be demonstrated through traditional citations databases, to the reference librarian wanting to measure how successfully they are engaging with their users on Twitter. It will be a valuable tool for anyone who wants to not only understand the impact of content, but demonstrate this impact to others within the organization and beyond.
    Content
    1. Introduction. MetricsIndicators -- Web metrics and Ranganathan's laws of library science -- Web metrics for the library and information professional -- The aim of this book -- The structure of the rest of this book -- 2. Bibliometrics, webometrics and web metrics. Web metrics -- Information science metrics -- Web analytics -- Relational and evaluative metrics -- Evaluative web metrics -- Relational web metrics -- Validating the results -- 3. Data collection tools. The anatomy of a URL, web links and the structure of the web -- Search engines 1.0 -- Web crawlers -- Search engines 2.0 -- Post search engine 2.0: fragmentation -- 4. Evaluating impact on the web. Websites -- Blogs -- Wikis -- Internal metrics -- External metrics -- A systematic approach to content analysis -- 5. Evaluating social media impact. Aspects of social network sites -- Typology of social network sites -- Research and tools for specific sites and services -- Other social network sites -- URL shorteners: web analytic links on any site -- General social media impact -- Sentiment analysis -- 6. Investigating relationships between actors. Social network analysis methods -- Sources for relational network analysis -- 7. Exploring traditional publications in a new environment. More bibliographic items -- Full text analysis -- Greater context -- 8. Web metrics and the web of data. The web of data -- Building the semantic web -- Implications of the web of data for web metrics -- Investigating the web of data today -- SPARQL -- Sindice -- LDSpider: an RDF web crawler -- 9. The future of web metrics and the library and information professional. How far we have come -- The future of web metrics -- The future of the library and information professional and web metrics.
    RSWK
    Bibliothek / World Wide Web / World Wide Web 2.0 / Analyse / Statistik
    Bibliometrie / Semantic Web / Soziale Software
    Subject
    Bibliothek / World Wide Web / World Wide Web 2.0 / Analyse / Statistik
    Bibliometrie / Semantic Web / Soziale Software
  6. Belew, R.K.: Finding out about : a cognitive perspective on search engine technology and the WWW (2001) 0.14 
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    Abstract
    The World Wide Web is rapidly filling with more text than anyone could have imagined even a short time ago, but the task of isolating relevant parts of this vast information has become just that much more daunting. Richard Belew brings a cognitive perspective to the study of information retrieval as a discipline within computer science. He introduces the idea of Finding Out About (FDA) as the process of actively seeking out information relevant to a topic of interest and describes its many facets - ranging from creating a good characterization of what the user seeks, to what documents actually mean, to methods of inferring semantic clues about each document, to the problem of evaluating whether our search engines are performing as we have intended. Finding Out About explains how to build the tools that are useful for searching collections of text and other media. In the process it takes a close look at the properties of textual documents that do not become clear until very large collections of them are brought together and shows that the construction of effective search engines requires knowledge of the statistical and mathematical properties of linguistic phenomena, as well as an appreciation for the cognitive foundation we bring to the task as language users. The unique approach of this book is its even handling of the phenomena of both numbers and words, making it accessible to a wide audience. The textbook is usable in both undergraduate and graduate classes on information retrieval, library science, and computational linguistics. The text is accompanied by a CD-ROM that contains a hypertext version of the book, including additional topics and notes not present in the printed edition. In addition, the CD contains the full text of C.J. "Keith" van Rijsbergen's famous textbook, Information Retrieval (now out of print). Many active links from Belew's to van Rijsbergen's hypertexts help to unite the material. Several test corpora and indexing tools are provided, to support the design of your own search engine. Additional exercises using these corpora and code are available to instructors. Also supporting this book is a Web site that will include recent additions to the book, as well as links to sites of new topics and methods.
    LCSH
    Search engines / Programming
    World Wide Web / Computer programs
    Web search engines
    RSWK
    Suchmaschine / World Wide Web / Information Retrieval
    Subject
    Suchmaschine / World Wide Web / Information Retrieval
    Search engines / Programming
    World Wide Web / Computer programs
    Web search engines
  7. Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008) 0.13 
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    Content
    Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].
    LCSH
    Web search engines
    World Wide Web / Subject access
    RSWK
    World Wide Web 2.0
    Information Retrieval / World Wide Web / Suchmaschine
    Subject
    Web search engines
    World Wide Web / Subject access
    World Wide Web 2.0
    Information Retrieval / World Wide Web / Suchmaschine
  8. Rogers, R.: Digital methods (2013) 0.13 
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    Abstract
    In Digital Methods, Richard Rogers proposes a methodological outlook for social and cultural scholarly research on the Web that seeks to move Internet research beyond the study of online culture. It is not a toolkit for Internet research, or operating instructions for a software package; it deals with broader questions. How can we study social media to learn something about society rather than about social media use? How can hyperlinks reveal not just the value of a Web site but the politics of association? Rogers proposes repurposing Web-native techniques for research into cultural change and societal conditions. We can learn to reapply such "methods of the medium" as crawling and crowd sourcing, PageRank and similar algorithms, tag clouds and other visualizations; we can learn how they handle hits, likes, tags, date stamps, and other Web-native objects. By "thinking along" with devices and the objects they handle, digital research methods can follow the evolving methods of the medium. Rogers uses this new methodological outlook to examine the findings of inquiries into 9/11 search results, the recognition of climate change skeptics by climate-change-related Web sites, the events surrounding the Srebrenica massacre according to Dutch, Serbian, Bosnian, and Croatian Wikipedias, presidential candidates' social media "friends," and the censorship of the Iranian Web. With Digital Methods, Rogers introduces a new vision and method for Internet research and at the same time applies them to the Web's objects of study, from tiny particles (hyperlinks) to large masses (social media).
    Content
    The end of the virtual : digital methods -- The link and the politics of Web space -- The website as archived object -- Googlization and the inculpable engine -- Search as research -- National Web studies -- Social media and post-demographics -- Wikipedia as cultural reference -- After cyberspace : big data, small data.
    LCSH
    Web search engines
    World Wide Web / Research
    RSWK
    Internet / Recherche / World Wide Web 2.0
    Subject
    Internet / Recherche / World Wide Web 2.0
    Web search engines
    World Wide Web / Research
  9. Next generation search engines : advanced models for information retrieval (2012) 0.13 
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    Abstract
    The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
    Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
    With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.
    Content
    Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
    Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.
    Footnote
    Vgl.: http://www.igi-global.com/book/next-generation-search-engines/59723.
    LCSH
    Search engines
    Subject
    Search engines
  10. Ceri, S.; Bozzon, A.; Brambilla, M.; Della Valle, E.; Fraternali, P.; Quarteroni, S.: Web Information Retrieval (2013) 0.13 
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    Abstract
    With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.
    Date
    16.10.2013 19:22:44
  11. Notess, G.R.: Teaching Web search skills : techniques and strategies of top trainers (2006) 0.12 
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    Classification
    025.04071 / 22
    Content
    Web searching and the teaching paradox -- Understanding our audience -- Choosing the instructional session types -- Online tutorials : friend or foe? -- Organization : focus, length, and goals -- Terminology -- Content : Web search features -- Content : primary concepts -- Additional content : image searching, news, usenet, and more -- The search engines -- Creating a framed workshop Web page -- Presentation tips, tricks, and shortcuts -- Tales from the trenches : anecdotes, examples, and exercises.
    DDC
    025.04071 / 22
    Footnote
    Rez. in: Online-Mitteilungen 2007, H.89, S.17-18 (M. Katzmayr): "Eine der Herausforderungen, der sich Web-Trainerinnen regelmäßig ausgesetzt sehen, besteht in der Kurzlebigkeit der Recherchetools und ihrer ständig wechselnden Funktionalitäten. Wer spricht heute noch von den Suchmaschinen AltaVista oder Lycos? (Hoffentlich) niemand mehr. Diese Dynamik in der Internetbranche wirkt allerdings auf viele potentielle Vortragende abschreckend, scheint es doch ein unzumutbarer Aufwand zu sein, sich laufend über neue Entwicklungen zu informieren. Wer darunter leidet oder zum ersten Mal eine Webschulung vorbereitet, sollte einen Blick in das vorliegende Buch werfen. Dessen Autor, Greg. R. Notess ist im Bereich des praktischen Web Information Retrieval kein Unbekannter: der Auskunftsbibliothekar an der Montana State University hat sich als Betreiber der Website Search Engine Showdown (http://www.search engineshowdown.com), vielgereister Vortragender, erfahrener Didaktiker und regelmäßiger Autor der Zeitschrift Online einen exzellenten Ruf in der Internet-Gemeinde erworben. Nun liegen seine Kenntnisse zur Vermittlung der Webrecherche auch als Monographie vor, die sich an Leiterinnen von Webschulungen richtet. Zum einen finden sich darin eine Vielzahl an didaktischen und organisatorischen Hinweisen zur Planung und Durchführung von Webschulungen. So werden z.B. die verschiedenen Typen von Kursteilnehmerinnen beschrieben und welchen Problemen sich Anfängerinnen in der Webrecherche in der Regel gegenübersehen. Es werden die verschiedenen Arten von Schulungen (Frontalvorträge, Schulungen mit Übungsmöglichkeiten und Online-Tutorials) mit ihren jeweiligen Vor- und Nachteilen sowie idealtypischen Einsatzmöglichkeiten dargestellt, weiters werden Hinweise zu Zielsetzungen und Länge von Kursen gegeben.
    Die anderen Kapitel verweisen auf den Inhalt von Webschulungen. Neben der wichtigen Diskussion von terminologischen Fragen - die Fähigkeit zur Differenzierung von Suchmaschine, Metasuchmaschine und Verzeichnis ist immerhin unverzichtbare Grundlage der-Internetkompetenz - wird auf allgemeine Suchfunktionen wie Phrasensuche, Suchoperatoren, Feldsuche etc. eingegangen. Zwei Kapitel befassen sich mit den möglichen Themenschwerpunkten von Webschulungen: als besonders wesentlich werden von Notess unter anderem die Ausformulierung der Fragestellung, der Hinweis auf die Vielfalt der zur Verfügung stehenden Recherchewerkzeuge, die differenzierte Verwendung von Suchmaschinen und Verzeichnissen und die Bewertung der im Web aufgefundenen Information genannt. Durch diese Auswahl wird (im Buch leider nur implizit) verdeutlicht, dass hier ein wesentlicher Schlüssel zur Bewältigung der eingangs erwähnten Problemstellung liegt: durch eine Konzentration auf diese "zukunftssicheren" Themen - sie unterliegen keinen kurzfristigen Änderungen - ist auch die Vorbereitung von Webkursen und die Aktualisierung der Lehrunterlagen ein überschaubarer Aufwand. Eine Strategie, der übrigens auch das vorliegende Buch folgt: es beschränkt sich auf allgemeine Konzepte und Herangehensweisen und vermeidet eine allzu detailreiche Darstellung der gegenwärtig gerade angesagten Tools und Web-Plattformen. Dezidiert aktuell will nur das Kapitel zur Auflistung und kurzen Beschreibung der derzeit wichtigsten Universalsuchmaschinen sein; es ist zum Zeitpunkt des Schreibens dieser Rezension bereits veraltet. Der sehr umfangreiche Anhang enthält neben einem Verzeichnis relevanter Internetquellen eine hilfreiche Fundgrube an Musterbeispielen von Lehrunterlagen zu verschiedensten Webthemen. Ein knappes Literaturverzeichnis und ein sorgfältig gearbeitetes Register beschließen den Band. Fazit: Jene, die vor oder am Beginn ihrer Schulungstätigkeit stehen, sollten diesen durchwegs gelungenen Band unbedingt zu Rate ziehen, und selbst erfahrene Vortragende können sicher das eine oder andere Detail zur Verbesserung ihrer Unterrichtsgestaltung darin finden. Da ein lebendiger und leicht verständlicher Stil gewählt wurde, ist es auch Leserlnnen mit nicht-englischer Muttersprache möglich, das Buch zügig durchzulesen, wobei aufgrund der eingestreuten Anekdoten die Lektüre recht kurzweilig ausfällt. Schließlich ist auch dem Verlag Information Today zu gratulieren: vom Inhaltsverzeichnis über Gliederung und Schriftbild bis hin zum Register ist dieses Buch ein Musterbeispiel guter und zugleich preiswerter verlegerischer Arbeit."
  12. Handbuch Internet-Suchmaschinen 2 : Neue Entwicklungen in der Web-Suche (2011) 0.12 
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    Abstract
    Der zweite Band des bekannten Handbuchs widmet sich den aktuellen Entwicklungen in der Web-Suche. Neue Such-Ansätze wie die Soziale und die Semantische Suche werden ebenso behandelt wir Spezialsuchen, die Evaluierung und nutzergerechte Gestaltung von Suchdiensten sowie das Monitoring von Webquellen. In 12 Kapiteln geben namhafte Wissenschaftler und Praktiker aus dem deutschsprachigen Raum den Überblick über den State of the Art, zeigen Trends auf und geben Handlungsempfehlungen für alle, die sich als Forscher, Entwickler und Nutzer sich mit dem Thema Suche beschäftigen. Dieser zweite Band erweitert das Themenspektrum des Handbuchs Internet-Suchmaschinen wesentlich und stellt damit eine wertvolle Ergänzung dar.
    Content
    Titel der einzelnen Kapitel: Social Search Folksonomies und Kollaborative Informationsdienste: Eine Alternative zur Websuche? Query Understanding Semantic Search Suche in Multimediaarchiven und Kultureinrichtungen Wissenschaftliche Suchmaschinen Journalistische Recherche im Internet Evaluierung von Suchmaschinen Usability und User Experience in Suchmaschinen Search Engine Bias Web Monitoring Tools für das Monitoring
    RSWK
    Internet / Suchmaschine / Online-Recherche / Soziale Software / Evaluation / Web Site / Analyse
    Subject
    Internet / Suchmaschine / Online-Recherche / Soziale Software / Evaluation / Web Site / Analyse
  13. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (2005) 0.11 
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    Abstract
    The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.
    Content
    Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading
    LCSH
    Web search engines
    Subject
    Web search engines
  14. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.11 
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    Abstract
    The doctoral thesis of Tatiana Gossen formulates criteria and guidelines on how to design the user interfaces of search engines for children. In her work, the author identifies the conceptual challenges based on own and previous user studies and addresses the changing characteristics of the users by providing a means of adaptation. Additionally, a novel type of search result visualisation for children with cartoon style characters is developed taking children's preference for visual information into account.
    Content
    Inhalt: Acknowledgments; Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; List of Acronyms; Chapter 1 Introduction ; 1.1 Research Questions; 1.2 Thesis Outline; Part I Fundamentals ; Chapter 2 Information Retrieval for Young Users ; 2.1 Basics of Information Retrieval; 2.1.1 Architecture of an IR System; 2.1.2 Relevance Ranking; 2.1.3 Search User Interfaces; 2.1.4 Targeted Search Engines; 2.2 Aspects of Child Development Relevant for Information Retrieval Tasks; 2.2.1 Human Cognitive Development; 2.2.2 Information Processing Theory; 2.2.3 Psychosocial Development 2.3 User Studies and Evaluation2.3.1 Methods in User Studies; 2.3.2 Types of Evaluation; 2.3.3 Evaluation with Children; 2.4 Discussion; Chapter 3 State of the Art ; 3.1 Children's Information-Seeking Behaviour; 3.1.1 Querying Behaviour; 3.1.2 Search Strategy; 3.1.3 Navigation Style; 3.1.4 User Interface; 3.1.5 Relevance Judgement; 3.2 Existing Algorithms and User Interface Concepts for Children; 3.2.1 Query; 3.2.2 Content; 3.2.3 Ranking; 3.2.4 Search Result Visualisation; 3.3 Existing Information Retrieval Systems for Children; 3.3.1 Digital Book Libraries; 3.3.2 Web Search Engines 3.4 Summary and DiscussionPart II Studying Open Issues ; Chapter 4 Usability of Existing Search Engines for Young Users ; 4.1 Assessment Criteria; 4.1.1 Criteria for Matching the Motor Skills; 4.1.2 Criteria for Matching the Cognitive Skills; 4.2 Results; 4.2.1 Conformance with Motor Skills; 4.2.2 Conformance with the Cognitive Skills; 4.2.3 Presentation of Search Results; 4.2.4 Browsing versus Searching; 4.2.5 Navigational Style; 4.3 Summary and Discussion; Chapter 5 Large-scale Analysis of Children's Queries and Search Interactions; 5.1 Dataset; 5.2 Results; 5.3 Summary and Discussion Chapter 6 Differences in Usability and Perception of Targeted Web Search Engines between Children and Adults 6.1 Related Work; 6.2 User Study; 6.3 Study Results; 6.4 Summary and Discussion; Part III Tackling the Challenges ; Chapter 7 Search User Interface Design for Children ; 7.1 Conceptual Challenges and Possible Solutions; 7.2 Knowledge Journey Design; 7.3 Evaluation; 7.3.1 Study Design; 7.3.2 Study Results; 7.4 Voice-Controlled Search: Initial Study; 7.4.1 User Study; 7.5 Summary and Discussion; Chapter 8 Addressing User Diversity ; 8.1 Evolving Search User Interface 8.1.1 Mapping Function8.1.2 Evolving Skills; 8.1.3 Detection of User Abilities; 8.1.4 Design Concepts; 8.2 Adaptation of a Search User Interface towards User Needs; 8.2.1 Design & Implementation; 8.2.2 Search Input; 8.2.3 Result Output; 8.2.4 General Properties; 8.2.5 Configuration and Further Details; 8.3 Evaluation; 8.3.1 Study Design; 8.3.2 Study Results; 8.3.3 Preferred UI Settings; 8.3.4 User satisfaction; 8.4 Knowledge Journey Exhibit; 8.4.1 Hardware; 8.4.2 Frontend; 8.4.3 Backend; 8.5 Summary and Discussion; Chapter 9 Supporting Visual Searchers in Processing Search Results 9.1 Related Work
    Date
    1. 2.2016 18:25:22
  15. Stacey, Alison; Stacey, Adrian: Effective information retrieval from the Internet : an advanced user's guide (2004) 0.11 
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    Abstract
    This book provides practical strategies which enable the advanced web user to locate information effectively and to form a precise evaluation of the accuracy of that information. Although the book provides a brief but thorough review of the technologies which are currently available for these purposes, most of the book concerns practical `future-proof' techniques which are independent of changes in the tools available. For example, the book covers: how to retrieve salient information quickly; how to remove or compensate for bias; and tuition of novice Internet users.
    Content
    Key Features - Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological `tricks'. - Enables readers to be aware of and compensate for bias and errors which are ubiquitous an the Internet. - Provides contemporary information an the deficiencies in web skills of novice users as well as practical techniques for teaching such users. The Authors Dr Alison Stacey works at the Learning Resource Centre, Cambridge Regional College. Dr Adrian Stacey, formerly based at Cambridge University, is a software programmer. Readership The book is aimed at a wide range of librarians and other information professionals who need to retrieve information from the Internet efficiently, to evaluate their confidence in the information they retrieve and/or to train others to use the Internet. It is primarily aimed at intermediate to advanced users of the Internet. Contents Fundamentals of information retrieval from the Internet - why learn web searching technique; types of information requests; patterns for information retrieval; leveraging the technology: Search term choice: pinpointing information an the web - why choose queries carefully; making search terms work together; how to pick search terms; finding the 'unfindable': Blas an the Internet - importance of bias; sources of bias; usergenerated bias: selecting information with which you already agree; assessing and compensating for bias; case studies: Query reformulation and longer term strategies - how to interact with your search engine; foraging for information; long term information retrieval: using the Internet to find trends; automating searches: how to make your machine do your work: Assessing the quality of results- how to assess and ensure quality: The novice user and teaching internet skills - novice users and their problems with the web; case study: research in a college library; interpreting 'second hand' web information.
  16. Olsen, K.A.: ¬The Internet, the Web, and eBusiness : formalizing applications for the real world (2005) 0.11 
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    Classification
    004.678 22
    DDC
    004.678 22
    Footnote
    Rez. in: JASIST 57(2006) no.14, S.1979-1980 (J.G. Williams): "The Introduction and Part I of this book presents the world of computing with a historical and philosophical overview of computers, computer applications, networks, the World Wide Web, and eBusiness based on the notion that the real world places constraints on the application of these technologies and without a formalized approach, the benefits of these technologies cannot be realized. The concepts of real world constraints and the need for formalization are used as the cornerstones for a building-block approach for helping the reader understand computing, networking, the World Wide Web, and the applications that use these technologies as well as all the possibilities that these technologies hold for the future. The author's building block approach to understanding computing, networking and application building makes the book useful for science, business, and engineering students taking an introductory computing course and for social science students who want to understand more about the social impact of computers, the Internet, and Web technology. It is useful as well for managers and designers of Web and ebusiness applications, and for the general public who are interested in understanding how these technologies may impact their lives, their jobs, and the social context in which they live and work. The book does assume some experience and terminology in using PCs and the Internet but is not intended for computer science students, although they could benefit from the philosophical basis and the diverse viewpoints presented. The author uses numerous analogies from domains outside the area of computing to illustrate concepts and points of view that make the content understandable as well as interesting to individuals without any in-depth knowledge of computing, networking, software engineering, system design, ebusiness, and Web design. These analogies include interesting real-world events ranging from the beginning of railroads, to Henry Ford's mass produced automobile, to the European Space Agency's loss of the 7 billion dollar Adriane rocket, to travel agency booking, to medical systems, to banking, to expanding democracy. The book gives the pros and cons of the possibilities offered by the Internet and the Web by presenting numerous examples and an analysis of the pros and cons of these technologies for the examples provided. The author shows, in an interesting manner, how the new economy based on the Internet and the Web affects society and business life on a worldwide basis now and how it will affect the future, and how society can take advantage of the opportunities that the Internet and the Web offer.
    The book is organized into six sections or parts with several chapters within each part. Part 1, does a good job of building an understanding some of the historical aspects of computing and why formalization is important for building computer-based applications. A distinction is made between formalized and unformalized data, processes, and procedures, which the author cleverly uses to show how the level of formalization of data, processes, and procedures determines the functionality of computer applications. Part I also discusses the types of data that can be represented in symbolic form, which is crucial to using computer and networking technology in a virtual environment. This part also discusses the technical and cultural constraints upon computing, networking, and web technologies with many interesting examples. The cultural constraints discussed range from copyright to privacy issues. Part 1 is critical to understanding the author's point of view and discussions in other sections of the book. The discussion on machine intelligence and natural language processing is particularly well done. Part 2 discusses the fundamental concepts and standards of the Internet and Web. Part 3 introduces the need for formalization to construct ebusiness applications in the business-to-consumer category (B2C). There are many good and interesting examples of these B2C applications and the associated analyses of them using the concepts introduced in Parts I and 2 of the book. Part 4 examines the formalization of business-to-business (B2B) applications and discusses the standards that are needed to transmit data with a high level of formalization. Part 5 is a rather fascinating discussion of future possibilities and Part 6 presents a concise summary and conclusion. The book covers a wide array of subjects in the computing, networking, and Web areas and although all of them are presented in an interesting style, some subjects may be more relevant and useful to individuals depending on their background or academic discipline. Part 1 is relevant to all potential readers no matter what their background or academic discipline but Part 2 is a little more technical; although most people with an information technology or computer science background will not find much new here with the exception of the chapters on "Dynamic Web Pages" and "Embedded Scripts." Other readers will find this section informative and useful for understanding other parts of the book. Part 3 does not offer individuals with a background in computing, networking, or information science much in addition to what they should already know, but the chapters on "Searching" and "Web Presence" may be useful because they present some interesting notions about using the Web. Part 3 gives an overview of B2C applications and is where the author provides examples of the difference between services that are completely symbolic and services that have both a symbolic portion and a physical portion. Part 4 of the book discusses B2B technology once again with many good examples. The chapter on "XML" in Part 4 is not appropriate for readers without a technical background. Part 5 is a teacher's dream because it offers a number of situations that can be used for classroom discussions or case studies independent of background or academic discipline.
    Each chapter provides suggestions for exercises and discussions, which makes the book useful as a textbook. The suggestions in the exercise and discussion section at the end of each chapter are simply delightful to read and provide a basis for some lively discussion and fun exercises by students. These exercises appear to be well thought out and are intended to highlight the content of the chapter. The notes at the end of chapters provide valuable data that help the reader to understand a topic or a reference to an entity that the reader may not know. Chapter 1 on "formalism," chapter 2 on "symbolic data," chapter 3 on "constraints on technology," and chapter 4 on "cultural constraints" are extremely well presented and every reader needs to read these chapters because they lay the foundation for most of the chapters that follow. The analogies, examples, and points of view presented make for some really interesting reading and lively debate and discussion. These chapters comprise Part 1 of the book and not only provide a foundation for the rest of the book but could be used alone as the basis of a social science course on computing, networking, and the Web. Chapters 5 and 6 on Internet protocols and the development of Web protocols may be more detailed and filled with more acronyms than the average person wants to deal with but content is presented with analogies and examples that make it easier to digest. Chapter 7 will capture most readers attention because it discusses how e-mail works and many of the issues with e-mail, which a majority of people in developed countries have dealt with. Chapter 8 is also one that most people will be interested in reading because it shows how Internet browsers work and the many issues such as security associated with these software entities. Chapter 9 discusses the what, why, and how of the World Wide Web, which is a lead-in to chapter 10 on "Searching the Web" and chapter 11 on "Organizing the Web-Portals," which are two chapters that even technically oriented people should read since it provides information that most people outside of information and library science are not likely to know.
    Chapter 12 on "Web Presence" is a useful discussion of what it means to have a Web site that is indexed by a spider from a major Web search engine. Chapter 13 on "Mobile Computing" is very well done and gives the reader a solid basis of what is involved with mobile computing without overwhelming them with technical details. Chapter 14 discusses the difference between pull technologies and push technologies using the Web that is understandable to almost anyone who has ever used the Web. Chapters 15, 16, and 17 are for the technically stout at heart; they cover "Dynamic Web Pages," " Embedded Scripts," and "Peer-to-Peer Computing." These three chapters will tend to dampen the spirits of anyone who does not come from a technical background. Chapter 18 on "Symbolic Services-Information Providers" and chapter 19 on "OnLine Symbolic Services-Case Studies" are ideal for class discussion and students assignments as is chapter 20, "Online Retail Shopping-Physical Items." Chapter 21 presents a number of case studies on the "Technical Constraints" discussed in chapter 3 and chapter 22 presents case studies on the "Cultural Constraints" discussed in chapter 4. These case studies are not only presented in an interesting manner they focus on situations that most Web users have encountered but never really given much thought to. Chapter 24 "A Better Model?" discusses a combined "formalized/unformalized" model that might make Web applications such as banking and booking travel work better than the current models. This chapter will cause readers to think about the role of formalization and the unformalized processes that are involved in any application. Chapters 24, 25, 26, and 27 which discuss the role of "Data Exchange," "Formalized Data Exchange," "Electronic Data Interchange-EDI," and "XML" in business-to-business applications on the Web may stress the limits of the nontechnically oriented reader even though it is presented in a very understandable manner. Chapters 28, 29, 30, and 31 discuss Web services, the automated value chain, electronic market places, and outsourcing, which are of high interest to business students, businessmen, and designers of Web applications and can be skimmed by others who want to understand ebusiness but are not interested in the details. In Part 5, the chapters 32, 33, and 34 on "Interfacing with the Web of the Future," "A Disruptive Technology," "Virtual Businesses," and "Semantic Web," were, for me, who teaches courses in IT and develops ebusiness applications the most interesting chapters in the book because they provided some useful insights about what is likely to happen in the future. The summary in part 6 of the book is quite well done and I wish I had read it before I started reading the other parts of the book.
    The book is quite large with over 400 pages and covers a myriad of topics, which is probably more than any one course could cover but an instructor could pick and choose those chapters most appropriate to the course content. The book could be used for multiple courses by selecting the relevant topics. I enjoyed the first person, rather down to earth, writing style and the number of examples and analogies that the author presented. I believe most people could relate to the examples and situations presented by the author. As a teacher in Information Technology, the discussion questions at the end of the chapters and the case studies are a valuable resource as are the end of chapter notes. I highly recommend this book for an introductory course that combines computing, networking, the Web, and ebusiness for Business and Social Science students as well as an introductory course for students in Information Science, Library Science, and Computer Science. Likewise, I believe IT managers and Web page designers could benefit from selected chapters in the book."
    LCSH
    World Wide Web
    RSWK
    Internet / World Wide Web / Electronic Commerce
    Subject
    Internet / World Wide Web / Electronic Commerce
    World Wide Web
  17. Filo, D.; Yang, J.: Yahoo! unplugged : Your discovery guide to the Web (1995) 0.10 
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    LCSH
    Web search engines
    Subject
    Web search engines
  18. Langville, A.N.; Meyer, C.D.: Google's PageRank and beyond : the science of search engine rankings (2006) 0.10 
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    Abstract
    Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other Web pages always appear at the top? What creates these powerful rankings? And how? The first book ever about the science of Web page rankings, "Google's PageRank and Beyond" supplies the answers to these and other questions and more. The book serves two very different audiences: the curious science reader and the technical computational reader. The chapters build in mathematical sophistication, so that the first five are accessible to the general academic reader. While other chapters are much more mathematical in nature, each one contains something for both audiences. For example, the authors include entertaining asides such as how search engines make money and how the Great Firewall of China influences research. The book includes an extensive background chapter designed to help readers learn more about the mathematics of search engines, and it contains several MATLAB codes and links to sample Web data sets. The philosophy throughout is to encourage readers to experiment with the ideas and algorithms in the text. Any business seriously interested in improving its rankings in the major search engines can benefit from the clear examples, sample code, and list of resources provided. It includes: many illustrative examples and entertaining asides; MATLAB code; accessible and informal style; and complete and self-contained section for mathematics review.
    Content
    Inhalt: Chapter 1. Introduction to Web Search Engines: 1.1 A Short History of Information Retrieval - 1.2 An Overview of Traditional Information Retrieval - 1.3 Web Information Retrieval Chapter 2. Crawling, Indexing, and Query Processing: 2.1 Crawling - 2.2 The Content Index - 2.3 Query Processing Chapter 3. Ranking Webpages by Popularity: 3.1 The Scene in 1998 - 3.2 Two Theses - 3.3 Query-Independence Chapter 4. The Mathematics of Google's PageRank: 4.1 The Original Summation Formula for PageRank - 4.2 Matrix Representation of the Summation Equations - 4.3 Problems with the Iterative Process - 4.4 A Little Markov Chain Theory - 4.5 Early Adjustments to the Basic Model - 4.6 Computation of the PageRank Vector - 4.7 Theorem and Proof for Spectrum of the Google Matrix Chapter 5. Parameters in the PageRank Model: 5.1 The a Factor - 5.2 The Hyperlink Matrix H - 5.3 The Teleportation Matrix E Chapter 6. The Sensitivity of PageRank; 6.1 Sensitivity with respect to alpha - 6.2 Sensitivity with respect to H - 6.3 Sensitivity with respect to vT - 6.4 Other Analyses of Sensitivity - 6.5 Sensitivity Theorems and Proofs Chapter 7. The PageRank Problem as a Linear System: 7.1 Properties of (I - alphaS) - 7.2 Properties of (I - alphaH) - 7.3 Proof of the PageRank Sparse Linear System Chapter 8. Issues in Large-Scale Implementation of PageRank: 8.1 Storage Issues - 8.2 Convergence Criterion - 8.3 Accuracy - 8.4 Dangling Nodes - 8.5 Back Button Modeling
    Chapter 9. Accelerating the Computation of PageRank: 9.1 An Adaptive Power Method - 9.2 Extrapolation - 9.3 Aggregation - 9.4 Other Numerical Methods Chapter 10. Updating the PageRank Vector: 10.1 The Two Updating Problems and their History - 10.2 Restarting the Power Method - 10.3 Approximate Updating Using Approximate Aggregation - 10.4 Exact Aggregation - 10.5 Exact vs. Approximate Aggregation - 10.6 Updating with Iterative Aggregation - 10.7 Determining the Partition - 10.8 Conclusions Chapter 11. The HITS Method for Ranking Webpages: 11.1 The HITS Algorithm - 11.2 HITS Implementation - 11.3 HITS Convergence - 11.4 HITS Example - 11.5 Strengths and Weaknesses of HITS - 11.6 HITS's Relationship to Bibliometrics - 11.7 Query-Independent HITS - 11.8 Accelerating HITS - 11.9 HITS Sensitivity Chapter 12. Other Link Methods for Ranking Webpages: 12.1 SALSA - 12.2 Hybrid Ranking Methods - 12.3 Rankings based on Traffic Flow Chapter 13. The Future of Web Information Retrieval: 13.1 Spam - 13.2 Personalization - 13.3 Clustering - 13.4 Intelligent Agents - 13.5 Trends and Time-Sensitive Search - 13.6 Privacy and Censorship - 13.7 Library Classification Schemes - 13.8 Data Fusion Chapter 14. Resources for Web Information Retrieval: 14.1 Resources for Getting Started - 14.2 Resources for Serious Study Chapter 15. The Mathematics Guide: 15.1 Linear Algebra - 15.2 Perron-Frobenius Theory - 15.3 Markov Chains - 15.4 Perron Complementation - 15.5 Stochastic Complementation - 15.6 Censoring - 15.7 Aggregation - 15.8 Disaggregation
    RSWK
    Google / Web-Seite / Rangstatistik (HEBIS)
    Subject
    Google / Web-Seite / Rangstatistik (HEBIS)
  19. Hock, R.: ¬The extreme searcher's guide to Web search engines : a handbook for the serious searcher (2001) 0.09 
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    Abstract
    Enthält neben allgemeinen Kapiteln (Serach engines in general - Common search options) eine Besprechung der einzelnen Suchmaschinen und ihrer Charakteristika
    LCSH
    Web search engines
    Subject
    Web search engines
  20. Semantic search over the Web (2012) 0.09 
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    Abstract
    The Web has become the world's largest database, with search being the main tool that allows organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential. In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers. The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.
    Content
    Inhalt: Introduction.- Part I Introduction to Web of Data.- Topology of the Web of Data.- Storing and Indexing Massive RDF Data Sets.- Designing Exploratory Search Applications upon Web Data Sources.- Part II Search over the Web.- Path-oriented Keyword Search query over RDF.- Interactive Query Construction for Keyword Search on the SemanticWeb.- Understanding the Semantics of Keyword Queries on Relational DataWithout Accessing the Instance.- Keyword-Based Search over Semantic Data.- Semantic Link Discovery over Relational Data.- Embracing Uncertainty in Entity Linking.- The Return of the Entity-Relationship Model: Ontological Query Answering.- Linked Data Services and Semantics-enabled Mashup.- Part III Linked Data Search engines.- A Recommender System for Linked Data.- Flint: from Web Pages to Probabilistic Semantic Data.- Searching and Browsing Linked Data with SWSE.
    Theme
    Semantic Web

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