-
Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014)
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- Abstract
- This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.
- Content
- Introduction: envisioning semantic information spacesIndexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.
- Date
- 23. 7.2017 13:49:22
- LCSH
- Semantic Web
Information retrieval
Knowledge representation (Information theory)
Information organization
World Wide Web / Subject access
- RSWK
- Semantic Web
Information Retrieval
- Subject
- Semantic Web
Information retrieval
Knowledge representation (Information theory)
Information organization
World Wide Web / Subject access
Semantic Web
Information Retrieval
-
Bradley, P.: Advanced Internet searcher's handbook (1998)
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- Footnote
- Rez. in: Information world review. 1999, no.146, S.26 (D. Parr)
- LCSH
- World Wide Web (Information retrieval system)
Information retrieval
- Subject
- World Wide Web (Information retrieval system)
Information retrieval
-
Franke, F; Klein, A.; Schüller-Zwierlein, A.: Schlüsselkompetenzen : Literatur recherchieren in Bibliotheken und Internet (2010)
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- Content
- Pressestimmen So bringt Literatursuche Lust statt Frust. www.literaturmarkt.info Dieser Ratgeber demonstriert Schritt für Schritt, wie man die passende Literatur, z.B. für Seminar- und Hausarbeiten, findet und verarbeitet. www.lehrerbibliothek.de Schlüsselkompetenzen: Literatur recherchieren in Bibliotheken und Internet führt Studenten in die Geheimnisse der Uni-Bibliothek ein. Das Buch liefert zudem Informationen über Online-Kataloge, Datenbanken, die Elektronische Zeitschriftenbibliothek (EZB) und die gängigen Suchmaschinen. www.stellenboersen.de Nützliches und höchst informatives Lehrbuch zu der Schlüsselkompetenz Literaturrecherche. Universitätsbibliothek Freiburg Gutes Recherchieren will gelernt sein, zumal in der heutigen Zeit, da das Informationsangebot ungeahnte Ausmaße angenommen hat und sich viele davon überfordert fühlen. Da nicht alle Hochschulen entsprechende Kurse anbieten, ist es gut, einen kundigen Ratgeber wie diesen zur Hand zu haben. STUDIUM Der Ratgeber besticht durch seinen übersichtlichen Aufbau und eignet sich deshalb auch als Nachschlagewerk. Zahlreiche Beispielrecherchen, Checklisten und Tipps zur Literatursuche erleichtern die Umsetzung des Gelesenen. ph akzente Im Zentrum steht nicht nur die Recherche, sondern ein umfassender Begriff der Informationskompetenz. Germanistik Der preisgünstige Band verdient eine nachdrückliche Kaufempfehlung bei Studierenden (und Lehrenden). Informationsmittel (IFB) : digitales Rezensionsorgan für Bibliotheken und Wissenschaft.
- LCSH
- Information retrieval
Web search engines
- RSWK
- Literaturrecherche / Bibliothek / Internet / Ratgeber (SBB)
Information Retrieval / Bibliothek / Internet (BVB)
Information Retrieval / Internet / Bibliothek / Lehrbuch (BVB)
Literaturrecherche / Bibliothek / Internet (DNB)
- Subject
- Literaturrecherche / Bibliothek / Internet / Ratgeber (SBB)
Information Retrieval / Bibliothek / Internet (BVB)
Information Retrieval / Internet / Bibliothek / Lehrbuch (BVB)
Literaturrecherche / Bibliothek / Internet (DNB)
Information retrieval
Web search engines
-
Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008)
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- Abstract
- This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection
- 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.].
- Imprint
- Hershey, Pa. : Information Science Reference
- LCSH
- Web search engines
World Wide Web / Subject access
Information storage and retrieval systems
Information retrieval
- RSWK
- World Wide Web 2.0
Information Retrieval / World Wide Web / Suchmaschine
- Subject
- Web search engines
World Wide Web / Subject access
Information storage and retrieval systems
Information retrieval
World Wide Web 2.0
Information Retrieval / World Wide Web / Suchmaschine
-
Shiri, A.: Powering search : the role of thesauri in new information environments (2012)
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- Abstract
- Powering search offers a clear and comprehensive treatment of the role of thesauri in search user interfaces across a range of information search and retrieval systems - from bibliographic and full-text databases to digital libraries, portals, open archives, and content management systems.
- Content
- Thesauri : introduction and recent developments -- Thesauri in interactive information retrieval -- User-centered approach to the evaluation of thesauri : query formulation and expansion -- Thesauri in web-based search systems -- Thesaurus-based search and browsing functionalities in new thesaurus construction standards -- Design of search user interfaces for thesauri -- Design of user interfaces for multilingual and meta-thesauri -- User-centered evaluation of thesaurus-enhanced search user interfaces -- Guidelines for the design of thesaurus-enhanced search user interfaces -- Current trends and developments.
- LCSH
- Information storage and retrieval systems
Information retrieval
World Wide Web
- RSWK
- Information Retrieval
- Subject
- Information Retrieval
Information storage and retrieval systems
Information retrieval
World Wide Web
-
Manning, C.D.; Raghavan, P.; Schütze, H.: Introduction to information retrieval (2008)
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- Abstract
- Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers. - This book provides what Salton and Van Rijsbergen both failed to achieve. Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. Its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.
- Content
- Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.
- LCSH
- Information retrieval
Semantic Web
- RSWK
- Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV)
Information Retrieval / Einführung (BVB)
Semantic Web (BVB)
World Wide Web / Suchmaschine (HBZ)
- Subject
- Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV)
Information Retrieval / Einführung (BVB)
Semantic Web (BVB)
World Wide Web / Suchmaschine (HBZ)
Information retrieval
Semantic Web
-
Stock, W.G.: Information Retrieval : Informationen suchen und finden (2007)
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- Abstract
- Information Retrieval ist die Wissenschaft, die Technik und die Praxis des Suchens und Findens von Informationen. Drei Anwendungsfälle zeigen die Relevanz dieser Teildisziplin in der Informationswissenschaft und Informatik: Suchmaschinen im Internet, Recherchewerkzeuge in unternehmensinternen Netzwerken und elektronische Informationsdienste. Das Lehrbuch vermittelt umfassend und auf leicht verständliche Weise grundlegende Kenntnisse über Theorien, Modelle und Anwendungen des Information Retrieval. Stock stellt die Retrievalforschung als einheitliche Wissenschaftsdisziplin dar, die klassische Modelle sowie aktuelle Ansätze des Web Information Retrieval gleichermaßen umfasst. Neben dem Retrieval nach Texten behandelt das Buch weitere Medien wie Bilder, Videos, gesprochene Sprache und Musik.
- Content
- Enthält die Kapitel: - Grundlagen der Informationswissenschaft Ziel der Buchreihe - Informationswissenschaft - Information und Wissen - Propädeutik des Information Retrieval Geschichte des Information Retrieval - Grundbegriffe des Information Retrieval - Relevanz und Pertinenz - Dokumente - Typologie von Retrievalsystemen - Architektur eines Retrievalsystems - Boolesche Retrievalsysteme Boolesches Retrieval - Informetrische Analysen - Erweitertes Boolesches Retrieval - Informationslinguistik - Natural Language Processing n-Gramme - Worte - Phrasen, Eigennamen, Komposita - Begriffe - Anaphora - Fehlertolerantes Retrieval - Klassische Retrievalmodelle Textstatistik - Vektorraummodell - Probabilistisches Modell - Web Information Retrieval Linktopologie - Strukturinformationen in Dokumenten - Nutzer und Nutzung - Themenentdeckung und -verfolgung - Spezialprobleme des Information Retrieval Soziale Netzwerke und "small worlds" - Kontrolliertes Vokabular - Sprachübergreifendes Retrieval - Anfragedialog - Retrieval von Textstellen - Bild- und Tonretrieval
- Footnote
- Rez. in: BuB 59(2007) H.3, S.238-239 (J. Plieninger): " ... Wertvoll ist bei Stocks »Information Retrieval« auch der Blick auf die Informationsbedürfnisse und das Verhalten der Benutzer. Er beschreibt auch daraus folgende unterschiedliche Fragestellungen für die Recherche, etwa ob es sich um ein konkretes Informationsbedürfnis handelt (Concrete Information Need - CIN) oder um ein problemorientiertes (Problem Oriented Information Need - POIN; Seite 51 f.). Das Buch geht über das hinaus, was man als Bibliothekar/in sonst auf dem Suchsektor zu lesen gewohnt ist - genau die richtige Mischung an Informationen zur vielgestaltigen Methodik, Hintergrundinformationen und Schilderung praktischer Anwendungsbereiche. Insofern stellt die Lektüre dieses grundlegenden Buches eine Bereicherung für alle dar, die mit der Recherche im weitesten Sinne zu tun haben: Neben Informationswissenschaftlern und Studierenden dieses Faches sind es vor allem Bibliothekare, die mit dem Suchen und Finden sowie der Schulung in diesem Bereich beauftragt sind."
Weitere Rez. in: Information - Wissenschaft und Praxis 58(2007) H.5, S.318-319 (R. Ferber): "Mit Information Retrieval - Informationen suchen und finden von Wolfgang G. Stock liegt ein ca. 600-seitiges Lehrbuch aus dem Oldenbourg Verlag vor. Der Einleitung kann man entnehmen, dass es sich dabei nur um den ersten Band einer vierbändigen Reihe zur Informationswissenschaft handelt. Der Klappentext verspricht die umfassende Vermittlung grundlegender Kenntnisse über Theorien, Modelle und Anwendungen des Information Retrieval, dargestellt als einheitliche Wissenschaftsdisziplin, die klassische Modelle und aktuelle Ansätze des Web Information Retrieval umfasst. Wie sein Umfang bereits erwarten lässt, bietet das Buch einen breiten Zugang zum Thema Information Retrieval. Es ist in weiten Teilen in einem erzählenden und kommunikativen Stil geschrieben, der durch viele Beispiele und rhetorische Fragen den Zugang zum Thema erleichtert. . . . Insgesamt bietet das Buch eine gute und ausführliche Einführung in das Thema Information Retrieval. Seine Stärke sind die Breite der Quellen und dargestellten Ansätze, die ausführliche Einführung in die verschiedenen Themen, Fragestellungen und Lösungsansätze, insbesondere in den Bereichen Textstatistik und Informetrie. Es ist gut zu lesen, auch wenn man sich manchmal etwas mehr inhaltliche Stringenz wünschen würde. Die Merk(ab) sätze am Schluss jedes Kapitels erleichtern auch dem eiligen Leser die Orientierung in dem durchaus umfangreichen Werk."
- LCSH
- Information storage and retrieval systems
Information retrieval
- RSWK
- Information Retrieval / Lehrbuch
- Subject
- Information Retrieval / Lehrbuch
Information storage and retrieval systems
Information retrieval
-
Next generation search engines : advanced models for information retrieval (2012)
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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.
- LCSH
- Information retrieval
Information retrieval / Research
Information storage and retrieval systems / Research
Information behavior
- Subject
- Information retrieval
Information retrieval / Research
Information storage and retrieval systems / Research
Information behavior
-
Lankes, R.D.: New concepts in digital reference (2009)
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- Abstract
- Let us start with a simple scenario: a man asks a woman "how high is Mount Everest?" The woman replies "29,029 feet." Nothing could be simpler. Now let us suppose that rather than standing in a room, or sitting on a bus, the man is at his desk and the woman is 300 miles away with the conversation taking place using e-mail. Still simple? Certainly--it happens every day. So why all the bother about digital (virtual, electronic, chat, etc.) reference? If the man is a pilot flying over Mount Everest, the answer matters. If you are a lawyer going to court, the identity of the woman is very important. Also, if you ever want to find the answer again, how that transaction took place matters a lot. Digital reference is a deceptively simple concept on its face: "the incorporation of human expertise into the information system." This lecture seeks to explore the question of how human expertise is incorporated into a variety of information systems, from libraries, to digital libraries, to information retrieval engines, to knowledge bases. What we learn through this endeavor, begun primarily in the library context, is that the models, methods, standards, and experiments in digital reference have wide applicability. We also catch a glimpse of an unfolding future in which ubiquitous computing makes the identification, interaction, and capture of expertise increasingly important. It is a future that is much more complex than we had anticipated. It is a future in which documents and artifacts are less important than the contexts of their creation and use.
- LCSH
- Information retrieval
- RSWK
- Bibliothek / Virtueller Auskunftsdienst
- Series
- Synthesis lectures on information concepts, retrieval & services; 1
- Subject
- Bibliothek / Virtueller Auskunftsdienst
Information retrieval
-
Pang, B.; Lee, L.: Opinion mining and sentiment analysis (2008)
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- Abstract
- An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.
- LCSH
- Information behavior
Information retrieval
- RSWK
- World Wide Web / Meinungsäußerung / Data Mining
- Series
- Foundations and trends(r) in information retrieval; 2,1/2
- Subject
- World Wide Web / Meinungsäußerung / Data Mining
Information behavior
Information retrieval
-
Ellis, D.: Progress and problems in information retrieval (1996)
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- Abstract
- An introduction to the principal generic approaches to information retrieval research with their associated concepts, models and systems, this text is designed to keep the information professional up to date with the major themes and developments that have preoccupied researchers in recent month in relation to textual and documentary retrieval systems.
- COMPASS
- Information retrieval
- Content
- First published 1991 as New horizons in information retrieval
- Date
- 26. 7.2002 20:22:46
- Footnote
- Rez. in: Managing information 3(1996) no.10, S.49 (D. Bawden); Program 32(1998) no.2, S.190-192 (C. Revie)
- LCSH
- Information retrieval
- Subject
- Information retrieval
Information retrieval
-
¬The thesaurus: review, renaissance and revision (2004)
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- Content
- Enthält u.a. folgende Aussage von J. Aitchison u. S. Dextre Clarke: "We face a paradox. Ostensibly, the need and the opportunity to apply thesauri to information retrieval are greater than ever before. On the other hand, users resist most efforts to persuade them to apply one. The drive for interoperability of systems means we must design our vocabularies for easy integration into downstream applications such as content management systems, indexing/metatagging interfaces, search engines, and portals. Summarizing the search for vocabularies that work more intuitively, we see that there are trends working in opposite directions. In the hugely popular taxonomies an the one hand, relationships between terms are more loosely defined than in thesauri. In the ontologies that will support computer-to-computer communications in AI applications such as the Semantic Web, we see the need for much more precisely defined term relationships."
Enthält die Beiträge: Spiteri, L.F.: Word association testing and thesaurus construction: a pilot study. Aitchison, J., S.G. Dextre-Clarke: The Thesaurus: a historical viewpoint, with a look to the future. Thomas, A.R.: Teach yourself thesaurus: exercises, reading, resources. Shearer, J.R.: A practical exercise in building a thesaurus. Nielsen, M.L.: Thesaurus construction: key issues and selected readings. Riesland, M.A.: Tools of the trade: vocabulary management software. Will, L.: Thesaurus consultancy. Owens, L.A., P.A. Cochrane: Thesaurus evaluation. Greenberg, J.: User comprehension and application of information retrieval thesauri. Johnson, E.H.: Distributed thesaurus Web services. Thomas, A.R., S.K. Roe: An interview with Dr. Amy J. Warner. Landry, P.: Multilingual subject access: the linking approach of MACS.
- Footnote
- Rez. in: KO 32(2005) no.2, S.95-97 (A. Gilchrist):"It might be thought unfortunate that the word thesaurus is assonant with prehistoric beasts but as this book clearly demonstrates, the thesaurus is undergoing a notable revival, and we can remind ourselves that the word comes from the Greek thesaurus, meaning a treasury. This is a useful and timely source book, bringing together ten chapters, following an Editorial introduction and culminating in an interview with a member of the team responsible for revising the NISO Standard Guidelines for the construction, format and management of monolingual thesauri; formal proof of the thesaural renaissance. Though predominantly an American publication, it is good to see four English authors as well as one from Canada and one from Denmark; and with a good balance of academics and practitioners. This has helped to widen the net in the citing of useful references. While the techniques of thesaurus construction are still basically sound, the Editors, in their introduction, point out that the thesaurus, in its sense of an information retrieval tool is almost exactly 50 years old, and that the information environment of today is radically different. They claim three purposes for the compilation: "to acquaint or remind the Library and Information Science community of the history of the development of the thesaurus and standards for thesaurus construction. to provide bibliographies and tutorials from which any reader can become more grounded in her or his understanding of thesaurus construction, use and evaluation. to address topics related to thesauri but that are unique to the current digital environment, or network of networks." This last purpose, understandably, tends to be the slightly more tentative part of the book, but as Rosenfeld and Morville said in their book Information architecture for the World Wide Web "thesauri [will] become a key tool for dealing with the growing size and importance of web sites and intranets". The evidence supporting their belief has been growing steadily in the seven years since the first edition was published.
- LCSH
- Information retrieval
Electronic information resource searching
- RSWK
- Informations- und Dokumentationswissenschaft / Information Retrieval / Inhaltserschließung / Thesaurus (BVB)
- Subject
- Informations- und Dokumentationswissenschaft / Information Retrieval / Inhaltserschließung / Thesaurus (BVB)
Information retrieval
Electronic information resource searching
-
Interactive information seeking, behaviour and retrieval (2011)
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- Abstract
- Information retrieval (IR) is a complex human activity supported by sophisticated systems. Information science has contributed much to the design and evaluation of previous generations of IR system development and to our general understanding of how such systems should be designed and yet, due to the increasing success and diversity of IR systems, many recent textbooks concentrate on IR systems themselves and ignore the human side of searching for information. This book is the first text to provide an information science perspective on IR. Unique in its scope, the book covers the whole spectrum of information retrieval, including: history and background information; behaviour and seeking task-based information; searching and retrieval approaches to investigating information; interaction and behaviour information; representation access models; evaluation interfaces for IR; interactive techniques; web retrieval, ranking and personalization; and, recommendation, collaboration and social search multimedia: interfaces and access. A key text for senior undergraduates and masters' level students of all information and library studies courses, this book is also useful for practising LIS professionals who need to better appreciate how IR systems are designed, implemented and evaluated.
- Content
- Enthält die Beiträge: Interactive information retrieval: history and background / Colleen Cool and Nicholas J. Belkin - Information behavior and seeking / Peiling Wang - Task-based information searching and retrieval / Elaine G. Toms - Approaches to investigating information interaction and behaviour / Raya Fidel - Information representation / Mark D. Smucker - Access models / Edie Rasmussen - Evaluation / Kalervo Järvelin - Interfaces for information retrieval / Max Wilson - Interactive techniques / Ryen W. White - Web retrieval, ranking and personalization / Jaime Teevan and Susan Dumais - Recommendation, collaboration and social search / David M. Nichols and Michael B. Twidale - Multimedia: behaviour, interfaces and interaction / Haiming Liu, Suzanne Little and Stefan Rüger - Multimedia: information representation and access / Suzanne Little, Evan Brown and Stefan Rüger
- LCSH
- Information retrieval
- RSWK
- Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung
- Subject
- Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung
Information retrieval
-
Lalmas, M.: XML retrieval (2009)
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- Abstract
- Documents usually have a content and a structure. The content refers to the text of the document, whereas the structure refers to how a document is logically organized. An increasingly common way to encode the structure is through the use of a mark-up language. Nowadays, the most widely used mark-up language for representing structure is the eXtensible Mark-up Language (XML). XML can be used to provide a focused access to documents, i.e. returning XML elements, such as sections and paragraphs, instead of whole documents in response to a query. Such focused strategies are of particular benefit for information repositories containing long documents, or documents covering a wide variety of topics, where users are directed to the most relevant content within a document. The increased adoption of XML to represent a document structure requires the development of tools to effectively access documents marked-up in XML. This book provides a detailed description of query languages, indexing strategies, ranking algorithms, presentation scenarios developed to access XML documents. Major advances in XML retrieval were seen from 2002 as a result of INEX, the Initiative for Evaluation of XML Retrieval. INEX, also described in this book, provided test sets for evaluating XML retrieval effectiveness. Many of the developments and results described in this book were investigated within INEX.
- Content
- Table of Contents: Introduction / Basic XML Concepts / Historical Perspectives / Query Languages / Indexing Strategies / Ranking Strategies / Presentation Strategies / Evaluating XML Retrieval Effectiveness / Conclusions
- LCSH
- Information retrieval
- Series
- Synthesis lectures on information concepts, retrieval & services; 7
- Subject
- Information retrieval
-
Lancaster, F.W.: Vocabulary control for information retrieval (1986)
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- Date
- 22. 4.2007 10:07:51
- Imprint
- Arlington, VA : Information Resources Pr.
- LCSH
- Information retrieval
- RSWK
- Information Retrieval / Terminologische Kontrolle
- Subject
- Information Retrieval / Terminologische Kontrolle
Information retrieval
-
Kuhlthau, C.C: Seeking meaning : a process approach to library and information services (2004)
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- Footnote
- Rez. in: Information Research, 9(3), review no. R129 (T.D. Wilson): "The first edition of this book was published ten years ago and rapidly become something of a classic in the field of information seeking behaviour. It is good to see the second edition which incorporates not only the work the author has done since 1993, but also related work by other researchers. Kuhlthau is one of the most cited authors in the field and her model of the information search process, involving stages in the search and associated feelings, has been used by others in a variety of contexts. However, what makes this book different (as was the case with the first edition) is the author's dedication to the field of practice and the book's sub-title demonstrates her commitment to the transfer of research. In Kuhlthau's case this is the practice of the school library media specialist, but her research has covered students of various ages as well as a wide range of occupational groups. Because the information search model is so well known, I shall concentrate in this review on the relationship between the research findings and practice. It is necessary, however, to begin with the search process model, because this is central. Briefly, the model proposes that the searcher goes through the stages of initiation, selection, exploration, formulation, collection and presentation, and, at each stage, experiences various feelings ranging from optimism and satisfaction to confusion and disappointment. Personally, I occasionally suffer despair, but perhaps that is too extreme for most!
It is important to understand the origins of Kuhlthau's ideas in the work of the educational theorists, Dewey, Kelly and Bruner. Putting the matter in a rather simplistic manner, Dewey identified stages of cognition, Kelly attached the idea of feelings being associated with cognitive stages, and Bruner added the notion of actions associated with both. We can see this framework underlying Kuhlthau's research in her description of the actions undertaken at different stages in the search process and the associated feelings. Central to the transfer of these ideas to practice is the notion of the 'Zone of Intervention' or the point at which an information seeker can proceed more effectively with assistance than without. Kuhlthau identifies five intervention zones, the first of which involves intervention by the information seeker him/herself. The remaining four involve interventions of different kinds, which the author distinguishes according to the level of mediation required: zone 2 involves the librarian as 'locater', i.e., providing the quick reference response; zone 3, as 'identifier', i.e., discovering potentially useful information resources, but taking no further interest in the user; zone 4 as 'advisor', i.e., not only identifying possibly helpful resources, but guiding the user through them, and zone 5 as 'counsellor', which might be seen as a more intensive version of the advisor, guiding not simply on the sources, but also on the overall process, through a continuing interaction with the user. Clearly, these processes can be used in workshops, conference presentations and the classroom to sensitise the practioner and the student to the range of helping strategies that ought to be made available to the information seeker. However, the author goes further, identifying a further set of strategies for intervening in the search process, which she describes as 'collaborating', 'continuing', 'choosing', 'charting', 'conversing' and 'composing'. 'Collaboration' clearly involves the participation of others - fellow students, work peers, fellow researchers, or whatever, in the search process; 'continuing' intervention is associated with information seeking that involves a succession of actions - the intermediary 'stays with' the searcher throughout the process, available as needed to support him/her; 'choosing', that is, enabling the information seeker to identify the available choices in any given situation; 'charting' involves presenting a graphic illustration of the overall process and locating the information seeker in that chart; 'conversing' is the encouragement of discussion about the problem(s), and 'composing' involves the librarian as counsellor in encouraging the information seeker to document his/her experience, perhaps by keeping a diary of the process.
Together with the zones of intervention, these ideas, and others set out in the book, provide a very powerful didactic mechanism for improving library and information service delivery. Of course, other things are necessary - the motivation to work in this way, and the availability resources to enable its accomplishment. Sadly, at least in the UK, many libraries today are too financially pressed to do much more than the minimum helpful intervention in the information seeking process. However, that should not serve as a stick with which to beat the author: not only has she performed work of genuine significance in the field of human information behaviour, she has demonstrated beyond question that the ideas that have emerged from her research have the capability to help to deliver more effective services." Auch unter: http://informationr.net/ir/reviews/revs129.html
- LCSH
- Information retrieval
- RSWK
- USA / Bibliothek / Informationsmanagement
- Subject
- USA / Bibliothek / Informationsmanagement
Information retrieval
- Theme
- Information
-
Chu, H.: Information representation and retrieval in the digital age (2010)
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- Content
- Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
- Imprint
- Medford, NJ : Information Today
- LCSH
- Information organization
Information retrieval
Information storage and retrieval systems
- Subject
- Information organization
Information retrieval
Information storage and retrieval systems
-
Booth, P.F.; South, M.L.: Information filing and finding (1982)
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- LCSH
- Information retrieval
Information storage and retrieval systems
- RSWK
- Information Retrieval (BVB)
- Subject
- Information Retrieval (BVB)
Information retrieval
Information storage and retrieval systems
-
Gilchrist, A.: ¬The thesaurus in retrieval (1971)
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- LCSH
- Information retrieval
- RSWK
- Schlagwortnormdatei / Information Retrieval
- Subject
- Schlagwortnormdatei / Information Retrieval
Information retrieval
- Theme
- Verbale Doksprachen im Online-Retrieval
-
Agosti, M.; Smeaton, A.F.: Information retrieval and hypertext (1996)
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- COMPASS
- Information retrieval
- LCSH
- Information retrieval
- Subject
- Information retrieval
Information retrieval
