Search (47 results, page 1 of 3)

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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

LCSH

Information storage and retrieval

Subject

Information storage and retrieval

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LCSH

Information retrieval
Library information networks

Subject

Information retrieval
Library information networks

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Date

27.11.2005 18:04:22

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Abstract

For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine

LCSH

Information retrieval
Information Storage and Retrieval

RSWK

Suchmaschine / Information Retrieval

Subject

Suchmaschine / Information Retrieval
Information retrieval
Information Storage and Retrieval

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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.

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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

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Abstract

Social phenomena happen, and the historians follow. So it goes with Google, the latest star shooting through the universe of trend-setting businesses. This company has even entered our popular lexicon: as many note, "Google" has moved beyond noun to verb, becoming an action which most tech-savvy citizens at the turn of the twenty-first century recognize and in fact do, on a daily basis. It's this wide societal impact that fascinated authors David Vise and Mark Malseed, who came to the book with well-established reputations in investigative reporting. Vise authored the bestselling The Bureau and the Mole, and Malseed contributed significantly to two Bob Woodward books, Bush at War and Plan of Attack. The kind of voluminous research and behind-the-scenes insight in which both writers specialize, and on which their earlier books rested, comes through in The Google Story. The strength of the book comes from its command of many small details, and its focus on the human side of the Google story, as opposed to the merely academic one. Some may prefer a dryer, more analytic approach to Google's impact on the Internet, like The Search or books that tilt more heavily towards bits and bytes on the spectrum between technology and business, like The Singularity is Near. Those wanting to understand the motivations and personal growth of founders Larry Page and Sergey Brin and CEO Eric Schmidt, however, will enjoy this book. Vise and Malseed interviewed over 150 people, including numerous Google employees, Wall Street analysts, Stanford professors, venture capitalists, even Larry Page's Cub Scout leader, and their comprehensiveness shows. As the narrative unfolds, readers learn how Google grew out of the intellectually fertile and not particularly directed friendship between Page and Brin; how the founders attempted to peddle early versions of their search technology to different Silicon Valley firms for $1 million; how Larry and Sergey celebrated their first investor's check with breakfast at Burger King; how the pair initially housed their company in a Palo Alto office, then eventually moved to a futuristic campus dubbed the "Googleplex"; how the company found its financial footing through keyword-targeted Web ads; how various products like Google News, Froogle, and others were cooked up by an inventive staff; how Brin and Page proved their mettle as tough businessmen through negotiations with AOL Europe and their controversial IPO process, among other instances; and how the company's vision for itself continues to grow, such as geographic expansion to China and cooperation with Craig Venter on the Human Genome Project. Like the company it profiles, The Google Story is a bit of a wild ride, and fun, too. Its first appendix lists 23 "tips" which readers can use to get more utility out of Google. The second contains the intelligence test which Google Research offers to prospective job applicants, and shows the sometimes zany methods of this most unusual business. Through it all, Vise and Malseed synthesize a variety of fascinating anecdotes and speculation about Google, and readers seeking a first draft of the history of the company will enjoy an easy read.

Date

3. 5.1997 8:44:22

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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.

RSWK

Suchmaschine / World Wide Web / Information Retrieval

Subject

Suchmaschine / World Wide Web / Information Retrieval

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Signature

77 TWP 3911(2)+22

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Abstract

Information seeking is a fundamental human activity. In the modern world, it is frequently conducted through interactions with search systems. The retrieval and comprehension of information returned by these systems is a key part of decision making and action in a broad range of settings. Advances in data availability coupled with new interaction paradigms, and mobile and cloud computing capabilities, have created a broad range of new opportunities for information access and use. In this comprehensive book for professionals, researchers, and students involved in search system design and evaluation, search expert Ryen White discusses how search systems can capitalize on new capabilities and how next-generation systems must support higher order search activities such as task completion, learning, and decision making. He outlines the implications of these changes for the evolution of search evaluation, as well as challenges that extend beyond search systems in areas such as privacy and societal benefit.

RSWK

Information Retrieval

Subject

Information Retrieval

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Abstract

Wenn Larry Page und Sergey Brin irgendwo auf der Welt auf eine Bühne klettern, ist Ausnahmezustand. Längst sind die Erfinder von Google, die erfolgreichste Suchmaschine im Internet, Popstars geworden, scheinbar unzerstörbare späte Kinder der New Economy, deren Geist sie mit dem grandiosen Siegeszug ihres Produkts retteten über den Niedergang der zahllosen Internet- und Start-up-Träume, die zu Beginn des Jahrtausends zerplatzten. Eigentlich wollten die beiden netten Jungs nur eine etwas funktionstüchtigere Suchmaschine für ihre Universität basteln. Doch was 1997 in Stanford Studenten, Lehrern und Verwaltungsangestellten unter Google zur Verfügung stand (Google, eigentlich Googol, ist der mathematische Begriff für eine Riesenzahl, Brin und Page hatten ihn versehentlich falsch geschrieben), wuchs nach der Firmenausgründung in kürzester Zeit in den virtuellen Himmel. Mitte 2000 bereits erledigte Google 15 Millionen Suchanfragen pro Tag, nur 10.000 waren es noch Mitte 1998 gewesen. Anfang 2001 kletterte die Zahl auf 100 Millionen Suchanfragen pro Tag, 10.000 pro Sekunde. Nach dem Börsengang im August 2004 wurde Google milliardenschwer. Im Sommer 2005 besaß jeder der Firmengründer ein Reinvermögen von mehr als zehn Milliarden Dollar. Heute ist "googeln" als Verb im Duden aufgenommen, ebenso wie sich "to google" im angelsächsischen Sprachraum etabliert hat. In der Google-Story zeichnen der Pulitzer-Preisträger David A. Vise und Mark Malseed den ebenso spannenden wie wechselhaften Aufstieg der Google-Erfinder nach. Eine wahre Heldenstory -- und an manchen Stellen zu dick aufgetragen, insbesondere dann, wenn der Suchmaschine "menschliche Eigenschaften" zugesprochen werden. Aber es ist durchaus spannend zu verfolgen, wie zwei amerikanische Jungs innerhalb von nur fünf Jahren mit einem kalifornischen Studentenprojekt die globale Informationskultur umzustülpen vermochten. Zumal Vise und Malseed die Schwierigkeiten des Unternehmens mit Datenschutz und Copyright, mit Wettbewerbern und Konkurrenten nicht verschweigen. Und wer dazu noch die 23 Google-Suchtipps mitstudiert, wird nach der Lektüre noch leichter durchs Internet navigieren.

Date

3. 5.1997 8:44:22

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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.

Footnote

Weitere Rez. in: Journal of Documentation, 69(2013) no.4, S.594-596 (A. MacFarlane)

Series

Library and information science; vol. 4

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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.

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Abstract

How do you find your way in an age of information overload? How can you filter streams of complex information to pull out only what you want? Why does it matter how information is structured when Google seems to magically bring up the right answer to your questions? What does it mean to be "findable" in this day and age? This eye-opening new book examines the convergence of information and connectivity. Written by Peter Morville, author of the groundbreakin Information Architecture for the World Wide Web, the book defines our current age as a state of unlimited findability. In other words, anyone can find anything at any time. Complete navigability. Morville discusses the Internet, GIS, and other network technologies that are coming together to make unlimited findability possible. He explores how the melding of these innovations impacts society, since Web access is now a standard requirement for successful people and businesses. But before he does that, Morville looks back at the history of wayfinding and human evolution, suggesting that our fear of being lost has driven us to create maps, charts, and now, the mobile Internet.
The book's central thesis is that information literacy, information architecture, and usability are all critical components of this new world order. Hand in hand with that is the contention that only by planning and designing the best possible software, devices, and Internet, will we be able to maintain this connectivity in the future. Morville's book is highlighted with full color illustrations and rich examples that bring his prose to life. Ambient Findability doesn't preach or pretend to know all the answers. Instead, it presents research, stories, and examples in support of its novel ideas. Are w truly at a critical point in our evolution where the quality of our digital networks will dictate how we behave as a species? Is findability indeed the primary key to a successful global marketplace in the 21st century and beyond. Peter Morville takes you on a thought-provoking tour of these memes and more -- ideas that will not only fascinate but will stir your creativity in practical ways that you can apply to your work immediately.

Footnote

Rez. in: nfd - Information Wissenschaft und Praxis 57(2006) H.3, S.177-178 (D. Lewandowski): "Wohl unbestritten ist, dass die Suche in Informationsbeständen eine immer größere Bedeutung erhält. Wir suchen nicht nur noch explizit, indem wir ein Informationssystem anwählen und dort eine Suche absetzen, sondern verwenden Suchfunktionen innerhalb von Programmen, auf Websites, innerhalb des Betriebssystems unseres Computers oder sogar ziemlich unbewusst, indem wir Informationen maßgeschneidert aufgrund einer einmal hinterlegten Suche oder eines automatisch erstellten Suchprofils erhalten. Man kann also in der Tat davon sprechen, dass wir von der Suche umgeben werden. Das ist mit dem Konzept der "Ambient Findability" gemeint. Angelehnt ist diese Bezeichnung an den Begriff der "Ambient Music" (in den 70er Jahren durch Brian Eno geprägt), die den Hörer umgibt und von ihm oft gar nicht aktiv wahrgenommen wird. Um eine Vorstellung von dieser Musik zu bekommen, eignet sich vielleicht am besten der Titel einer Platte eben von Brian Eno: "Music for Airports". Peter Morville, bekannt als Co-Autor des empfehlenswerten Buchs "Information Architecture for the World Wide Web"', hat sich nun mit der Veränderung der Suche auseinandergesetzt. Sein Buch bedient sich in ganz unterschiedlichen Disziplinen, um die Prozesse des Suchens, Stöberns und Findens aufzuzeigen. So finden sich Betrachtungen über die Orientierung des Menschen in unbekannten Umgebungen, über die Interaktion mit Informationssystemen, über das soziale Verhalten der Web-Nutzer (Stichworte: Content-Tagging, Folksonomies, Social Networking) und über technische Veränderungen durch die Verfügbarkeit von Informationssystemen in allen Lebenskontexten, vor allem auch über mobile Endgeräte. Das Buch ist in sieben Kapitel gegliedert. Das erste, "Lost and Found" betitelt, bietet auf wenigen Seiten die Definitionen der zentralen Begriffe ambient und findability, erläutert kurz das Konzept der Information Literacy und zeigt, dass die bessere Auffindbarkeit von Informationen nicht nur ein schöner Zusatznutzen ist, sondern sich für Unternehmen deutlich auszahlt.
Das zweite Kapitel ("A Brief History of Wayfinding") beschreibt, wie Menschen sich in Umgebungen zurechtfinden. Dies ist insofern interessant, als hier nicht erst bei Informationssystemen oder dem WWW begonnen wird, sondern allgemeine Erkenntnisse beispielsweise über die Orientierung in natürlichen Umgebungen präsentiert werden. Viele typische Verhaltensweisen der Nutzer von Informationssystemen können so erklärt werden. So interessant dieses Thema allerdings ist, wirkt das Kapitel leider doch nur wie eine Zusammenstellung von Informationen aus zweiter Hand. Offensichtlich ist, dass Morville nicht selbst an diesen Themen geforscht hat, sondern die Ergebnisse (wenn auch auf ansprechende Weise) zusammengeschrieben hat. Dieser Eindruck bestätigt sich auch in weiteren Kapiteln: Ein flüssig geschriebener Text, der es jedoch an einigen Stellen an Substanz fehlen lässt. Kapitel drei, "Information Interaction" beginnt mit einem Rückgriff auf Calvin Mooers zentrale Aussage aus dem Jahre 1959: "An information retrieval system will tend not to be used whenever it is more painful and troublesome for a customer to have information than for him not to have it." In der Tat sollte man sich dies bei der Erstellung von Informationssystemen immer vergegenwärtigen; die Reihe der Systeme, die gerade an dieser Hürde gescheitert sind, ist lang. Das weitere Kapitel führt in einige zentrale Konzepte der Informationswissenschaft (Definition des Begriffs Information, Erläuterung des Information Retrieval, Wissensrepräsentation, Information Seeking Behaviour) ein, allerdings ohne jeden Anspruch auf Vollständigkeit. Es wirkt vielmehr so, dass der Autor sich die gerade für sein Anliegen passenden Konzepte auswählt und konkurrierende Ansätze beiseite lässt. Nur ein Beispiel: Im Abschnitt "Information Interaction" wird relativ ausführlich das Konzept des Berrypicking nach Marcia J. Bates präsentiert, allerdings wird es geradezu als exklusiv verkauft, was es natürlich bei weitem nicht ist. Natürlich kann es nicht Aufgabe dieses Buchs sein, einen vollständigen Überblick über alle Theorien des menschlichen Suchverhaltens zu geben (dies ist an anderer Stelle vorbildlich geleistet worden'), aber doch wenigstens der Hinweis auf einige zentrale Ansätze wäre angebracht gewesen. Spätestens in diesem Kapitel wird klar, dass das Buch sich definitiv nicht an Informationswissenschaftler wendet, die auf der einen Seite mit den grundlegenden Themen vertraut sein dürften, andererseits ein wenig mehr Tiefgang erwarten würden. Also stellt sich die Frage - und diese ist zentral für die Bewertung des gesamten Werks.
Für wen wurde dieses Buch eigentlich geschrieben? Der Verlag, sonst für eher praktisch orientierte Computerbücher bekannt, ordnet es auf dem Umschlag den Bereichen "Marketing" sowie "Technology & Society" zu. Für letztere Zielgruppe ist es aber sicher weniger geeignet, da auch der gesellschaftliche Hintergrund zu dünn ist. So bleibt der Bereich Marketing oder doch eher die Zielgruppe derjenigen, die ohne fachbezogenes Studium in den Bereich Informationssysteme bzw. Informationsarchitektur "hineingeschlittert" sind. Für diese mag auch das Kapitel über "Information Interaction" (bedingt) geeignet sein, bietet es doch zumindest einen gut lesbaren Einblick in einige zentrale Punkte. Das vierte Kapitel ("Intertwingled") beschreibt den Zugriff auf Informationen mittels verschiedener Erdgeräte in unterschiedlichen Kontexten. Es geht hier neben neuen Ansätzen des Wegefindens, um lokalisierbare Objekte und Kleidung, in die Informationstechnologie mit eingebaut ist. Dabei handelt es sich um einen guten (und vor allem beispielreichen) Überblick der aufkommenden Technologien. Kapitel s behandelt die Integration von Push- und PullAnsätzen, wobei die zentrale Aussage lautet, dass beide Ansätze immer mehr zusammenwachsen und die Entscheidung für den einen oder den anderen Ansatz vom Nutzer spontan gemäß seinen Informationsbedürfnissen getroffen wird. In diesem Kapitel wird auch das Thema Personalisierung abgehandelt und auf die bei der Personalisierung entstehenden Probleme eingegangen. Lange Zeit wurde Personalisierung schlicht als ein Verfahren gesehen, aus einmal erfassten Nutzerdaten Empfehlungen abzuleiten. Dass dies nicht problemlos möglich ist, erläutert Morville an einigen Punkten. Etwas bedauerlich ist hier, dass die Erläuterungen sehr knapp gehalten sind. Gerade zu diesem interessanten Thema hätte man gerne mehr Details erfahren.
Im Kapitel über das "Sociosemantic Web" werden die groben Grundzüge der Klassifikationslehre erläutert, um dann ausführlich auf neuere Ansätze der Web-Erschließung wie Social Tagging und Folksonomies einzugehen. Auch dieses Kapitel gibt eher einen Überblick als den schon Kundigen vertiefende Informationen zu liefern. Das letzte Kapitel widmet sich schließlich der Art, wie Entscheidungen getroffen werden, der Network Culture, dem Information Overload, um schließlich zu den "Inspired Decisions" zu gelangen - Entscheidungen, die sowohl auf "sachlichen Informationen" (also den klassischen Zutaten der "informed decisions") als auch aus aus Netzwerken stammenden Informationen wie etwa Empfehlungen durch Freunde oder Community-Mitglieder irgendeiner Art gewonnen werden. Fasst man zusammen, so ist an Morvilles Text besonders bemerkenswert, dass nach einigen Jahren, in denen die Suche im Web als ein Problem der Suche in unstrukturierten Daten angesehen wurde, nun wieder verstärkt Erschließungsansätze, die auf klassische Erschließungsinstrumente zurückgreifen, propagiert werden. Zwar sollen sie nicht in ihrer ursprünglichen Form angewandt werden, da den Nutzern nicht zuzumuten ist, sich mit den entsprechenden Regeln auseinanderzusetzen, aber auch hinter der auf den ersten Blick zumindest chaotisch wirkenden Folksonomy ist das Prinzip der Klassifikation zu erkennen. Um die modernen Ansätze erfolgreich zu machen, bedarf es aber dringend Information Professionals, die das "beste aus beiden Welten" verbinden, um moderne, für den Nutzer optimale Informationssysteme zu schaffen. Für die Gesamtbewertung des Buchs gelten die bereits zu einzelnen Kapitels angeführten Kritikpunkte: In erster Linie bleibt das Buch zu sehr an der Oberfläche und wirkt irgendwie "zusammengeschrieben" anstatt als Ergebnis der tiefgreifenden Beschäftigung mit dem Thema. Als eine Einführung in aufkommende Technologien rund um die Suche ist es aber durchaus geeignet - gut lesbar ist der Text auf jeden Fall.

LCSH

Information storage and retrieval systems

RSWK

Information Retrieval (GBV)
Information Retrieval / Ubiquitous Computing (GBV)
Information Retrieval / Datenbanksystem / Suchmaschine (GBV)
Information Retrieval / Datenbanksystem (BVB)

Subject

Information Retrieval (GBV)
Information Retrieval / Ubiquitous Computing (GBV)
Information Retrieval / Datenbanksystem / Suchmaschine (GBV)
Information Retrieval / Datenbanksystem (BVB)
Information storage and retrieval systems

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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

RSWK

Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)

Subject

Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)

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Date

7. 4.2008 21:22:57

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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

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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

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Abstract

Google[trademark] has become a nearly omnipresent tool of the Internet, with its potential only now beginning to be realised. How can librarians effectively integrate this powerful search engine to provide service to their patrons? "Libraries and Google[trademark]" presents leading authorities discussing the many possibilities of using Google products as effective, user-friendly tools in libraries. Google Scholar and Print are extensively explored with an eye towards offering an expanded view of what is and may be possible for the future, with practical insights on how to make the most of the product's capabilities.

Content

Introduction: Libraries and Their Interrelationships with Google - William Miller Disruptive Beneficence: The Google Print Program and the Future of Libraries - Mark Sandler The Google Library Project at Oxford - Ronald Milne The (Uncertain) Future of Libraries in a Google World: Sounding an Alarm - Rick Anderson A Gaggle of Googles: Limitations and Defects of Electronic Access as Panacea - -Mark Y. Herring Using the Google Search Appliance for Federated Searching: A Case Study - Mary Taylor Google's Print and Scholar Initiatives: The Value of and Impact on Libraries and Information Services - Robert J. Lackie Google Scholar vs. Library Scholar: Testing the Performance of Schoogle - Burton Callicott; Debbie Vaughn Google, the Invisible Web, and Librarians: Slaying the Research Goliath - Francine Egger-Sider; Jane Devine Choices in the Paradigm Shift: Where Next for Libraries? - Shelley E. Phipps; Krisellen Maloney Calling the Scholars Home: Google Scholar as a Tool for Rediscovering the Academic Library - Maurice C. York Checking Under the Hood: Evaluating Google Scholar for Reference Use - Janice Adlington; Chris Benda Running with the Devil: Accessing Library-Licensed Full Text Holdings Through Google Scholar - Rebecca Donlan; Rachel Cooke Directing Students to New Information Types: A New Role for Google in Literature Searches? - Mike Thelwall Evaluating Google Scholar as a Tool for Information Literacy Rachael Cathcart - Amanda Roberts Optimising Publications for Google Users - Alan Dawson Google and Privacy - Paul S. Piper Image: Google's Most Important Product - Ron Force Keeping Up with Google: Resources and Strategies for Staying Ahead of the Pack - Michael J. Krasulski; Steven J. Bell

Footnote

Ebenfalls direkt aus der Praxis erhält der Leser Informationen zum Google-PrintProgramm. Robert Milne beschreibt die Zusammenarbeit von Google und der Universität Oxford. In diesem Aufsatz wird - was dem Autor natürlich nicht anzulasten ist - ein Problem des vorliegenden Werks deutlich: Viele Informationen sind doch von sehr beschränkter Haltbarkeit. Der Redaktionsschluss war im Frühsommer 2005, sodass sich in vielen Bereichen bereits neue Entwicklungen ergeben haben. Dies ist beim Print-Programm der Fall, vor allem wird es aber bei dem Hauptthema des Bandes, nämlich Google Scholar, deutlich. Dieser Dienst wurde im November 2004 gestartet und stieß auf unterschiedlichste Reaktionen, die (anhand von Beispielen amerikanischer Bibliotheken) im Beitrag von Maurice C. York beschrieben werden. Einige Bibliotheken nahmen den Dienst begeistert auf und verlinkten diesen mit Lob versehen auf ihren Websites. Andere reagierten gegenteilig und warnten vor dessen schlechter Qualität. Auch weil vorauszusehen war, dass Google Scholar bei den Nutzern gut ankommen würde, darf das folgende Statement von einer Bibliothekswebsite geradezu als ignorant gelten: Google Scholar »is wonderful for those who do not have access to the library's databases« (S.119). Wie nun die Scholar-Nutzer auf die Bibliotheksangebote gelenkt werden können, beschreibt der ironisch »Running with the Devil« betitelte Aufsatz von Rebecca Donlan und Rachel Cooke. Die Autorinnen beschreiben den Einsatz von Link-Resolvern und gehen auf die in Google Scholar bestehenden Probleme durch unklare Bezeichnungen in den Trefferlisten ein. Einige Beispiele zeigen, dass Google Scholar auch in Kombination mit der Verlinkung auf die Bibliotheksbestände keine befriedigende Recherchesituation herstellt, sondern vielmehr weitere Anstrengungen nötig sind, um »das Beste beider Welten« zusammenzuführen. Zwei weitere Aufsätze beschäftigen sich mit der Frage, wie gut Google Scholar eigentlich ist. Einmal geht es darum, wie gut Scholar den »ACRL Information Literacy Standards« genügt. Der zweite Beitrag vergleicht Google Scholar anhand von fünf Suchaufgaben einerseits mit einem lokalen Bibliothekskatalog, andererseits mit EBSCOs Academic Search Premier und jeweils einer fachspezifischen Datenbank. Die Ergebnisse zeigen keine durchgehende Überlegenheit einer Suchlösung, vielmehr wird deutlich, dass es auf die Auswahl des richtigen Suchwerkzeugs für die bestehende Suchanfrage ankommt bzw. dass erst eine Kombination dieser Werkzeuge zu optimalen Ergebnissen führt. Man könnte also auch hier wieder sagen: Google und Bibliotheken, nicht Google oder Bibliotheken.
Weitere Rez. in JASIST 59(2008) H.9, S.1531-1533 (J. Satyanesan): "Libraries and Google is an interesting and enlightening compilation of 18 articles on Google and its impact on libraries. The topic is very current, debatable, and thought provoking. Google has profoundly empowered individuals and transformed access to information and librarians are very much concerned about its popularity and visibility. In this book, the leading authorities discuss the usefulness of Google, its influence and potential menace to libraries, and its implications for libraries and the scholarly communication. They offer practical suggestions to cope with the changing situation. The articles are written from different perspective and express all shades of opinion, both hopeful and fearful. One can discern varied moods-apprehension, resignation, encouragement, and motivation-on the part of the librarians. This is an important book providing a wealth of information for the 21st century librarian. There is a section called "Indexing, Abstracting & Website/Internet Coverage," which lists major indexing and abstracting services and other tools for bibliographic access. The format of the articles is uniform with an introduction, key words, and with the exception of two articles the rest have summaries and conclusions. References and notes of varying lengths are included in each article. This book has been copublished simultaneously as Internet Reference Quarterly, 10(3/4), 2005. Although there are single articles written on Google and libraries, this is the first book-length treatment of the topic.
... This book is written by library professionals and aimed at the librarians in particular, but it will be useful to others who may be interested in knowing what libraries are up to in the age of Google. It is intended for library science educators and students, library administrators, publishers and university presses. It is well organized, well researched, and easily readable. Article titles are descriptive, allowing the reader to find what he needs by scanning the table of contents or by consulting the index. The only flaw in this book is the lack of summary or conclusions in a few articles. The book is in paperback and has 240 pages. This book is a significant contribution and I highly recommend it."

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Series

Information science and knowledge management; vol.1