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Books on the topic 'ISI Web of Science'

Author: Grafiati

Published: 2 June 2025

Last updated: 19 July 2025

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1

Engineers, Institution of Electrical, ed. ISI web of knowledge. 3rd ed. Thomson Corp., 2002.

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2

Anegón, Félix de Moya. Indicadores científicos de Galicia: ISI, Web of Science, 1990-2003. Xunta de Galicia, 2005.

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3

Rainer, Kuhlen, and Hochschulverband Informationswissenschaft, eds. Information, Droge, Ware oder Commons?: Wertschöpfungs- und Transformationsprozesse auf den Informationsmärkten ; Proceedings des 11. Internationalen Symposiums für Informationswissenschaft (ISI 2009) ; Konstanz, 1.-3. April 2009. VWH, Verlag Werner Hülsbusch, 2009.

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4

Tulloch, Mitch. IIS 6 administration. McGraw-Hill/Osborne, 2003.

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5

Klopotek, Mieczyslaw A. Intelligent Information Processing and Web Mining: Proceedings of the International IIS - IIPWM '05 Conference Held in Gdansk, Poland, June 13-16, 2005. Springer-Verlag Berlin and Heidelberg & Co. KG, 2006.

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6

Li, Juanzi, Guilin Qi, Dongyan Zhao, Wolfgang Nejdl, and Hai-Tao Zheng, eds. Semantic Web and Web Science. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6880-6.

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7

Li, Juanzi. Semantic Web and Web Science. Springer New York, 2013.

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8

Zhao, Dongyan, Jianfeng Du, Haofen Wang, Peng Wang, Donghong Ji, and Jeff Z. Pan, eds. The Semantic Web and Web Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45495-4.

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9

Denecke, Kerstin. Health Web Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20582-3.

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10

Renehan, Edward J. Science on the Web. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-6480-2.

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11

Poppe, Barbara B. Science on the web: Web activities using scientific data. Space Environment Center, Dept. of Commerce, National Oceanic and Atmospheric Administration, 1998.

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12

Poppe, Barbara B. Science on the web: Web activities using scientific data. Space Environment Center, 1999.

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13

Poppe, Barbara. Science on the web: Web activities using scientific data. Space Environment Center, 1998.

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14

Deborah, McAlister, Richardson Lisa, Space Environment Center (U.S.), and United States. National Oceanic and Atmospheric Administration, eds. Science on the web: Web activities using scientific data. Space Environment Center, 1998.

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15

Deved¿ic, Vladan. Web 2.0 & Semantic Web. Springer Science+Business Media, LLC, 2009.

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16

Tim, Berners-Lee, ed. A framework for web science. Now, 2006.

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17

Pan, Jeng-Shyang. Computational Collective Intelligence. Technologies and Applications: Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part III. Springer Berlin Heidelberg, 2010.

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18

Marshakova, I. V. Baza dannykh ISI-Instituta nauchnoĭ informat͡s︡ii SShA: Nauchno-analiticheskiĭ obzor. Rossiĭskai͡a︡ akademii͡a︡ nauk, In-t nauch. informat͡s︡ii po obshchestvennym naukam, 1992.

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19

Marshakova, I. V. Baza dannykh ISI-Instituta nauchnoĭ informat︠s︡ii SShA: Nauchno-analiticheskiĭ obzor. Rossiĭskai︠a︡ akademii︠a︡ nauk, In-t nauch. informat︠s︡ii po obshchestvennym naukam, 1992.

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20

Kashyap, Vipul, John Davies, Lytas Miltiadis, and Miguel-Angel Sicilia. The semantic web. Emerald Group Publishing, 2005.

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21

Tom, Hughes. The Web. Random House, 1996.

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22

Information, Institute for Scientific, ed. Science citation index: Journal citation reports : a bibliometric analysis of science journals in the ISI database. Institute for Scientific Incormation, 1995.

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23

Information, Institute for Scientific, ed. Science citation reports: Journal citation reports : a bibliometric analysis of science journals in the ISI database. Institute for Scientific Information, 1997.

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24

Information, Institute for Scientific, ed. Science citation index: Journal citation reports : a bibliometric analysis of science journals in the ISI database. Institute for Scientific Incormation, 1990.

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25

vanden Broucke, Seppe, and Bart Baesens. Practical Web Scraping for Data Science. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3582-9.

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26

Maw, Aye Aye. Web community for computer science study. Oxford Brookes University, 2001.

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27

O'Hara, Kieron, and Wendy Hall. Web Science. Edited by William H. Dutton. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199589074.013.0003.

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This chapter introduces the important technologies and protocols that make up the Web and the social regularities that have helped it flourish. Next, it investigates the foundational assumptions of Web Science. An example that illustrates the role of Web Science in the development of a Web of Linked Data is reported. Web Science, which can help determine which practices and conventions are important, and how they associate to people's willingness to behave in a cooperative fashion, must be related with topography and also the dynamics of the Web. It also needs to take into account the variance of scale between intervention and outcome. Linking data permits the development of an extremely rich context for an inquiry. In general, the aim of Web Science is to develop a research and engineering community within which diverse methods of analysis and synthesis are routinely incorporated.

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28

Shroff, Gautam. The Intelligent Web. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199646715.001.0001.

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As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of "Web intelligence", as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected. Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.

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29

(Editor), Mieczyslaw A. Klopotek, Slawomir T. Wierzchon (Editor), and Krzysztof Trojanowski (Editor), eds. Intelligent Information Processing and Web Mining: Proceedings of the International IIS: IIPWM´04 Conference held in Zakopane, Poland, May 17-20, 2004 (Advances in Soft Computing). Springer, 2004.

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30

Walton, Christopher. Agency and the Semantic Web. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780199292486.001.0001.

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This highly topical text considers the construction of the next generation of the Web, called the Semantic Web. This will enable computers to automatically consume Web-based information, overcoming the human-centric focus of the Web as it stands at present, and expediting the construction of a whole new class of knowledge-based applications that will intelligently utilize Web content. The text is structured into three main sections on knowledge representation techniques, reasoning with multi-agent systems, and knowledge services. For each of these topics, the text provides an overview of the state-of-the-art techniques and the popular standards that have been defined. Numerous small programming examples are given, which demonstrate how the benefits of the Semantic Web technologies can be realized at the present time. The main theoretical results underlying each of the technologies are presented, and the main problems and research issues which remain are summarized. Based on a course on 'Multi-Agent Systems and the Semantic Web' taught at the University of Edinburgh, this text is ideal for final-year undergraduate and graduate students in Mathematics, Computer Science, Artificial Intelligence, and Logic and researchers interested in Multi-Agent Systems and the Semantic Web.

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31

(Editor), Mieczyslaw A. Klopotek, Slawomir T. Wierzchon (Editor), and Krzysztof Trojanowski (Editor), eds. Intelligent Information Processing and Web Mining: Proceedings of the International IIS: IIPWM´05 Conference held in Gdansk, Poland, June 13-16, 2005 (Advances in Soft Computing). Springer, 2005.

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32

Science Web Reader (Science Web). Nelson Thornes Ltd, 2001.

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33

Science Web (Science Web Reader). Nelson Thornes Ltd, 2000.

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34

O'Brien, Pat, Peter Horsfall, Jan Murphy, Jasmin Chapman, and Averil Macdonald. Science Web - Essential Edition (Science Web). Nelson Thornes, 2003.

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35

Mitchell, Erik. Metadata Standards and Web Services in Libraries, Archives, and Museums. ABC-CLIO, LLC, 2015. http://dx.doi.org/10.5040/9798400685026.

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Metadata in library information environments is evolving rapidly. This book provides readers with a set of tools for designing, developing, and implementing metadata-rich information systems while also examining the challenges and opportunities in this field. As the world of library and information science has developed in the age of digital information, metadata and metadata-rich information systems have become increasingly important—and more complex and confusing. This book will enable students, instructors, and practitioners in the information science field to understand how these new systems and standards will impact their careers and professions. Author Erik Mitchell explores definitions of information and presents an up-to-date consideration of user needs in information systems to provide necessary background before moving on to in-depth discussions of metadata, information organization practice, and information system design. Each chapter incorporates hands-on activities to complement the reading material, allowing readers to build technical skills alongside the important conceptual learning in this content area. Readers will gain conceptual understanding and skills that will allow them to analyze and transform structured data, develop metadata-rich information systems, and design systems with user needs and digital literacies in mind. This book is intended for library and information science students taking information organization, metadata, or other core "digital cataloging" classes, but will also be highly useful for professionals seeking to learn the details of metadata systems and theory using a hands-on approach.

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36

Science Web. Nelson Thornes Ltd, 2001.

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37

Science Web. Nelson Thornes Ltd, 2001.

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38

O'Brien, Pat, et al, Peter Horsfall, and Alan Jones. Science Web. Nelson Thornes, 2002.

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39

Horsfall, Peter, and Jan Murphy. Science Web. Nelson Thornes Ltd, 2002.

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40

O'Brien, Pat, Peter Horsfall, Jan Murphy, et al. Science Web. Nelson Thornes Ltd, 2001.

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41

Henderson, Jim, Mary Ratcliffe, Jonathan Osborne, et al. Science Web Reader: Chemistry (Science Web Reader). Nelson Thornes (Publishers) Ltd, 2000.

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42

Science Web Reader: Physics (Science Web Reader). Nelson Thornes (Publishers) Ltd, 2001.

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43

Zhao, Dongyan, Guilin Qi, and Juanzi Li. Semantic Web and Web Science. Springer, 2013.

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44

Zhao, Dongyan, Guilin Qi, Juanzi Li, Wolfgang Nejdl, and Hai-Tao Zheng. Semantic Web and Web Science. Springer, 2015.

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45

Semantic Web and Web Science. Springer, 2013.

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46

Science Web Reader. Nelson Thornes Ltd, 2000.

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47

Luciano, Joanne S., Grant P. Cumming, Mark D. Wilkinson, Elizabeth H. Brooks, and Eva Kahana. Health Web Science. Now Publishers, 2014.

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48

ISI Atlas of science: Pharmacology 1988, volume no.2. Institute for Scientific Information, 1988.

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49

Li, Tze-chung. Social Science Reference Sources. 3rd ed. Greenwood, 2000. http://dx.doi.org/10.5040/9798216015987.

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The social sciences continue to generate vast amounts of research, which is typically published in scholarly monographs and journal articles. This research, in turn, is summarized in a wide range of reference sources, such as bibliographies, dictionaries, encyclopedias, handbooks, and yearbooks. Now in its third edition, this essential guide provides entries for roughly 1,600 reference sources in the social sciences, including anthropology, business, economics, education, geography, history, law, political science, psychology, and sociology. Most titles published before 1980, which are listed in the second edition, have been excluded, while the present volume gives special attention to electronic resources, including more than 200 web sites. The first part of the volume contains chapters on the social sciences in general, including discussions of available research tools. It also provides brief descriptions of the features and search methods of online vendors and reviews the specialized reference sources available in selected periodicals. The second part contains chapters on reference sources in particular social science disciplines. The first section of each chapter examines access to these sources through such tools as bibliographies, indexes, and abstracts, while the second looks at particular types of works, such as directories and encyclopedias. In most cases, entries are listed alphabetically under each heading and subheading, with full bibliographic information provided.

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50

Wyndham, John. Web. Pearson Education, Limited, 2008.

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