Search (412 results, page 1 of 21)

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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

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Abstract

Enthält neben allgemeinen Kapiteln (Serach engines in general - Common search options) eine Besprechung der einzelnen Suchmaschinen und ihrer Charakteristika

LCSH

Web search engines

Subject

Web search engines

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Abstract

With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.

Date

16.10.2013 19:22:44

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LCSH

Web search engines

Subject

Web search engines

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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

Search engines / Programming

Subject

Search engines / Programming

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Abstract

"Web Search Engine Research", edited by Dirk Lewandowski, provides an understanding of Web search engines from the unique perspective of Library and Information Science. The book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, reliability of search results, query log analysis, user guidance in the search process, and the influence of search engine optimization (SEO) on results quality. While research in computer science has mainly focused on technical aspects of search engines, LIS research is centred on users' behaviour when using search engines and how this interaction can be evaluated. LIS research provides a unique perspective in intermediating between the technical aspects, user aspects and their impact on their role in knowledge acquisition. This book is directly relevant to researchers and practitioners in library and information science, computer science, including Web researchers.

LCSH

Web search engines

Subject

Web search engines

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Footnote

Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].

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Abstract

This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing

LCSH

Web search engines

Subject

Web search engines

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Abstract

Aimed at information and communication professionals, scholars and students, Google and the Digital Divide: The Biases of Online Knowledge provides invaluable insight into the significant role that search engines play in growing the digital divide between individuals, organizations, and states. With a specific focus on Google, author Elad Segev explains the concept of the digital divide and the effects that today's online environment has on knowledge bias, power, and control. Using innovative methods and research approaches, Segev compares the popular search queries in Google and Yahoo in the United States and other countries and analyzes the various biases in Google News and Google Earth. Google and the Digital Divide shows the many ways in which users manipulate Google's information across different countries, as well as dataset and classification systems, economic and political value indexes, specific search indexes, locality of use indexes, and much more. Segev presents important new social and political perspectives to illustrate the challenges brought about by search engines, and explains the resultant political, communicative, commercial, and international implications.

Content

Inhalt: Power, communication and the internet -- The structure and power of search engines -- Google and the politics of online searching -- Users and uses of Google's information -- Mass media channels and the world of Google News -- Google's global mapping

LCSH

Search engines

Subject

Search engines

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Classification

025.04071 / 22

Content

Web searching and the teaching paradox -- Understanding our audience -- Choosing the instructional session types -- Online tutorials : friend or foe? -- Organization : focus, length, and goals -- Terminology -- Content : Web search features -- Content : primary concepts -- Additional content : image searching, news, usenet, and more -- The search engines -- Creating a framed workshop Web page -- Presentation tips, tricks, and shortcuts -- Tales from the trenches : anecdotes, examples, and exercises.

DDC

025.04071 / 22

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Abstract

Web search engines such as Google, Yahoo! MSN/Bing, and Ask are far from the consummate Web search solution: they do not typically produce direct answers to queries but instead typically recommend a selection of related documents from the Web. We note that in more recent years, search engines have begun to provide direct answers to prose queries matching certain common templates-for example, "population of china" or "12 euro in dollars"-but again, such functionality is limited to a small subset of popular user queries. Furthermore, search engines now provide individual and focused search interfaces over images, videos, locations, news articles, books, research papers, blogs, and real-time social media-although these tools are inarguably powerful, they are limited to their respective domains. In the general case, search engines are not suitable for complex information gathering tasks requiring aggregation from multiple indexed documents: for such tasks, users must manually aggregate tidbits of pertinent information from various pages. In effect, such limitations are predicated on the lack of machine-interpretable structure in HTML-documents, which is often limited to generic markup tags mainly concerned with document renderign and linking. Most of the real content is contained in prose text which is inherently difficult for machines to interpret.

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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.

LCSH

Web search engines

Subject

Web search engines

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Abstract

The World Wide Web is rapidly filling with more text than anyone could have imagined even a short time ago, but the task of isolating relevant parts of this vast information has become just that much more daunting. Richard Belew brings a cognitive perspective to the study of information retrieval as a discipline within computer science. He introduces the idea of Finding Out About (FDA) as the process of actively seeking out information relevant to a topic of interest and describes its many facets - ranging from creating a good characterization of what the user seeks, to what documents actually mean, to methods of inferring semantic clues about each document, to the problem of evaluating whether our search engines are performing as we have intended. Finding Out About explains how to build the tools that are useful for searching collections of text and other media. In the process it takes a close look at the properties of textual documents that do not become clear until very large collections of them are brought together and shows that the construction of effective search engines requires knowledge of the statistical and mathematical properties of linguistic phenomena, as well as an appreciation for the cognitive foundation we bring to the task as language users. The unique approach of this book is its even handling of the phenomena of both numbers and words, making it accessible to a wide audience. The textbook is usable in both undergraduate and graduate classes on information retrieval, library science, and computational linguistics. The text is accompanied by a CD-ROM that contains a hypertext version of the book, including additional topics and notes not present in the printed edition. In addition, the CD contains the full text of C.J. "Keith" van Rijsbergen's famous textbook, Information Retrieval (now out of print). Many active links from Belew's to van Rijsbergen's hypertexts help to unite the material. Several test corpora and indexing tools are provided, to support the design of your own search engine. Additional exercises using these corpora and code are available to instructors. Also supporting this book is a Web site that will include recent additions to the book, as well as links to sites of new topics and methods.

LCSH

Search engines / Programming
Web search engines

Subject

Search engines / Programming
Web search engines

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Abstract

The degree of structure of Web content is the determining factor for the types of functionality that search engines can provide. The more well structured the Web content is, the easier it is for search engines to understand Web content and provide advanced functionality, such as faceted filtering or the aggregation of content from multiple Web sites, based on this understanding. Today, most Web sites are generated from structured data that is stored in relational databases. Thus, it does not require too much extra effort for Web sites to publish this structured data directly on the Web in addition to HTML pages, and thus help search engines to understand Web content and provide improved functionality. An early approach to realize this idea and help search engines to understand Web content is Microformats, a technique for markingup structured data about specific types on entities-such as tags, blog posts, people, or reviews-within HTML pages. As Microformats are focused on a few entity types, the World Wide Web Consortium (W3C) started in 2004 to standardize RDFa as an alternative, more generic language for embedding any type of data into HTML pages. Today, major search engines such as Google, Yahoo, and Bing extract Microformat and RDFa data describing products, reviews, persons, events, and recipes from Web pages and use the extracted data to improve the user's search experience. The search engines have started to aggregate structured data from different Web sites and augment their search results with these aggregated information units in the form of rich snippets which combine, for instance, data This chapter gives an overview of the topology of the Web of Data that has been created by publishing data on the Web using the microformats RDFa, Microdata and Linked Data publishing techniques.

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Abstract

The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.

Content

Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.

Footnote

Vgl.: http://www.igi-global.com/book/next-generation-search-engines/59723.

LCSH

Search engines

Subject

Search engines

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Content

Enthält u.a. die Beiträge: AUSTIN, D.: A proposal for an International Standard Object Number works. BATEMAN, J.: Modelling the importance of end-user relevance criteria. BILAL, D.: Web search engines for children: a comparative study and performance evaluation of Yahooligans!, AskJeeves for Kids, and Super Snooper. BOROS, E., P.B. KANTOR u. D.J. NEU: Pheromonic representation of user quests by digital structures. BRADSHAW, S., K. HAMMOND: Constructing indices from citations in collections of research papers. BUDZIK, J., K. HAMMOND: Q&A: a system for the capture, organization and reuse of expertise. BUDZIK, J., K. HAMMOND: Watson: anticipating and contextualizing information needs. CHOO, C.W., B. DETLOR u. D. TURNBULL: Information seeking on the Web: an integrated model of browsing and searching. CORTEZ, E.M.: Planning and implementing a high performance knowledge base. DING, W., D. SOERGEL u. G. MARCHIONINI: Performance of visual, verbal, and combined video surrogates. DU TOIT, A.: Developing a framework for managing knowledge in enterprises. FALCONER, J.: The business pattern: a new tool for organizational knowledge capture and reuse. GOODRUM, A., A. SPINK: Visual information seeking: a study of image queries on the world wide web. HEIDORN, P.B.: The identification of index terms in natural language object descriptions. HILL, L.L., Q. ZHENG: Indirect geospatial referencing through place names in the digital library: Alexandra digital library experience with developing and implementing gazetteers. JURISICA, I., J. MYLOPOULOS u. E. YU: Using ontologies for knowledge management: an information systems perspective. KANTOR, B., E. BOROS u. B. MELAMED u.a.: The information quest: a dynamic model of user's information needs. KANTOR, P., M.H. KIM u. U. Ibraev u.a.: Estimating the number of relevant documents in enormous collections. KIM, Y., B. NORGARD U. A. CHEN u.a.: Using ordinary language in access metadata of divers types of information resources: trade classifications and numeric data. KOLLURI, V., D.P. METZLER: Knowledge guided rule learning. LARSON, R.R., C. CARSON: Information access for a digital library: Cheshire II and the Berkeley environment digital library. LEAZER, G.H., J. FURNER: Topological indices of textual identity networks. LIN, X.: Designing a visual interface for online searching. MA, Y., V.B. DIODATO: Icons as visual form of knowledge representation on the World Wide Web: a semiotic analysis.
MACCALL, S.L., A.D. CLEVELAND U. I.E. GIBSON: Outline and preliminary evaluation of the classical digital library model. MACCALL, S.L., A.D. CLEVELAND: A relevance-based quantitative measure for Internet information retrieval evaluation. MAI, J.-E.: A postmodern theory of knowledge organization. PATRICK, T.B., M.C. SIEVERT U. J. RIES u.a.: Clustering terms in health care terminologies. PATRICK, T.B., M.C. SIEVERT U. M. POPESCU: Text indexing of images based on graphical image content. POLE, T.: Contextual classification in the Metadata Object Manager (M.O.M.). PRISS, U., E. JACOB: Utilizing faceted structures for information systems design. RORVIG, M., M.M. SMITH U. A. UEMURA: The N-gram hypothesis applied to matched sets of visualized Japanese-English technical documents. SCHAMBER, L., J. BATEMAN: Relevance criteria uses and importance: progress in development of a measurement scale. SMIRAGLIA, R.P.: Derivative bibliographic relationships among theological works. SU, L.T., H.L. CHEN: Evaluation of Web search engines by undergraduate students. TSE, T., S. VEGH U. G. MARCHIONINI u.a.: An exploratory study of video browsing user interface designs and research methodologies: effectiveness in information seeking tasks. WANG, P.: An empirical study of knowledge structures of research topics; SCULL, C. u.a.: Envisioning the Web: user expectations about the cyber-experience; WEISS, S.C.: The seamless, Web-based library: a meta site for the 21st century; DUGDALE, C.: Cooperation, coordination and cultural change for effective information management in the hybrid academic library. PRETTYMAN, M. u.a.: Electronic publication of health information in an object oriented environment. PRITCHARD, E.E.: Retrospective conversion of journal titles to online formats: which disciplines make good choices? SHARRETTS, C.W. u.a.: Electronic theses and dissertations at the University of Virginia. HAWK, W.B. u. P. WANG: Users' interaction with the World Wide Web: Problems & problem-solving. HARRIS, C. u.a. Temporal visualization for legal case histories. MARSHALL, R.: Rhetoric and policy: how is it being used in pornography and the Internet?

Date

22. 6.2005 9:44:50

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Abstract

Are we at a turning point in digital information? The expansion of the internet was unprecedented; search engines dealt with it in the only way possible - scan as much as they could and throw it all into an inverted index. But now search engines are beginning to experiment with deep web searching and attention to taxonomies, and the semantic web is demonstrating how much more can be done with a computer if you give it knowledge. What does this mean for the skills and focus of the information science (or sciences) community? Should information designers and information managers work more closely to create computer based information systems for more effective retrieval? Will information science become part of computer science and does the rise of the term informatics demonstrate the convergence of information science and information technology - a convergence that must surely develop in the years to come? Issues and questions such as these are reflected in this monograph, a collection of essays written by some of the most pre-eminent contributors to the discipline. These peer reviewed perspectives capture insights into advances in, and facets of, information science, a profession in transition. With an introduction from Jack Meadows the key papers are: Meeting the challenge, by Brian Vickery; The developing foundations of information science, by David Bawden; The last 50 years of knowledge organization, by Stella G Dextre Clarke; On the history of evaluation in IR, by Stephen Robertson; The information user, by Tom Wilson A; The sociological turn in information science, by Blaise Cronin; From chemical documentation to chemoinformatics, by Peter Willett; Health informatics, by Peter A Bath; Social informatics and sociotechnical research, by Elisabeth Davenport; The evolution of visual information retrieval, by Peter Enser; Information policies, by Elizabeth Orna; Disparity in professional qualifications and progress in information handling, by Barry Mahon; Electronic scholarly publishing and open access, by Charles Oppenheim; Social software: fun and games, or business tools? by Wendy A Warr; and, Bibliometrics to webometrics, by Mike Thelwall. This monograph previously appeared as a special issue of the "Journal of Information Science", published by Sage. Reproduced here as a monograph, this important collection of perspectives on a skill set in transition from a prestigious line-up of authors will now be available to information studies students worldwide and to all those working in the information science field.

Date

22. 2.2013 11:35:35

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Date

22. 7.2007 12:05:26
22. 7.2007 12:08:24

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Issue

Vol.22.

Signature

78 BAHH 1089-22