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We are an information science research group developing software and methodologies to exploit Internet-based data sources for social sciences research, in ...We are an information science research group developing software and methodologies to exploit Internet-based data sources for social sciences research, in addition to scientometrics, link analysis, cybermetrics and webometrics.

This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web-...This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group. The 8,282 pages were manually classified into the following categories: * student (1641) * faculty (1124) * staff (137) * department (182) * course (930) * project (504) * other (3764)

CiteSpace is a freely available Java application for analyzing and visualizing scientific literature. CiteSpace is expanding its scope to include additiona...CiteSpace is a freely available Java application for analyzing and visualizing scientific literature. CiteSpace is expanding its scope to include additional data sources such as summaries of NSF awards. Click here for a direct WebStart, or downloading the package.

CWIS (pronounced see-wis) is software to assemble, organize, and share collections of data about resources, like Yahoo! or Google Directory but conforming ...CWIS (pronounced see-wis) is software to assemble, organize, and share collections of data about resources, like Yahoo! or Google Directory but conforming to international and academic standards for metadata. CWIS was specifically created to help build collections of Science, Technology, Engineering, and Math (STEM) resources and connect them into NSF's National Science Digital Library, but can be (and is being) used for a wide variety of other purposes. Some of the features of CWIS include: * resource annotations and ratings (a la Amazon) * keyword searching (with phrase and exclusion support a la Google) * fielded searching * recommender system (a la Amazon) * OAI 2.0 export (with oai_dc and nsdl_dc schemas) * RSS feed support * integrated metadata editing tool * user-definable schema (comes with full qualified Dublin Core) * prepackaged taxonomies (includes GEM Subject taxonomy) * user interface themes * turnkey installation CWIS also has functionality (PHP) separated from appearance (HTML), making it relatively easy to customize for your own site.

Big and small companies are getting into the business of building an intelligent web of linked data

Huan Liu and Hiroshi Motoda Kluwer Academic, Boston, (1998) edited by Huan Liu and Hiroshi Motoda.; Includes bibliographical references and index. .

David W. Aha Feature extraction, construction and selection : a data mining perspective, SECS 453, Kluwer Academic, Boston, edited by Huan Liu and Hiroshi Motoda.; Includes bibliographical references and index. . (1998)

Henning Wallentowitz and Konrad Reif (eds.). Vieweg, Wiesbaden, (2006)

Markus Maurer and Christoph Stiller (eds.). Springer, Berlin, Heidelberg, (2005)

Rainer Stiefelhagen and John Garofolo (eds.). volume4122ofLecture Notes in Computer Science, Berlin, Heidelberg, Springer, (2007)

Hermann Winner it -- Information Technology49(1):17-24(2007)

Ulrich Waldmann and Ulrich Waldmann and Karsten Sohr Studie, Fraunhofer-Institut für Sichere Informations-Technologie (SIT), Darmstadt, (2007)

Upkar Varshney IT Professional9(6):10-15(2007)

Vlad Tanasescu and Alessio Gugliotta and John Domingue and Rob Davies and Leticia Guti'errez-Villar'ias and Mary Rowlatt and Marc Richardson and Sandra Stinvci'c The Semantic Web -- ISWC 2006, volume4273ofLecture Notes in Computer Science, page959-966. Berlin, Heidelberg, Springer, (2006)