Knowledge Representation in the Social Semantic Web

The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. The book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies.

Autorentext

Kathrin Weller, Heinrich-Heine-Universität, Düsseldorf

Zusammenfassung

edited by
Wolfgang G. Stock (Düsseldorf, Germany)

in close cooperation with a board of co-editors
Ronald E. Day (Bloomington, Indiana, U.S.A.),
Richard J. Hartley (Manchester, U.K.),
Robert M. Hayes (Los Angeles, California, U.S.A.),
Peter Ingwersen (Copenhagen, Denmark),
Michel J. Menou (Les Rosiers sur Loire, France, and London, U.K.),
Stefano Mizzaro (Udine, Italy),
Christian Schlögl (Graz, Austria),
Sirje Virkus (Tallinn, Estonia)

ISSN 1868-842X

Knowledge and Information (K&I) is a peer-reviewed information science book series appearing as a print and as an ebook version, publishing high quality research monographs and topic-specific collections of papers as well. It covers information science to the full extent and alludes additionally to neighboring sciences such as computer science, computational linguistics, (information) business administration, and library science. The language of publication is English.

The scope of information science comprehends representing, providing, searching and finding of relevant knowledge including all activities of information professionals (e.g., indexing and abstracting) and users (e.g., their information behavior). An important research area is information retrieval, the science of search engines and their users. Topics of knowledge representation include metadata as well as methods and tools of knowledge organization systems (folksonomies, nomenclatures, classification systems, thesauri, and ontologies). Informetrics is empirical information science and consists among others of the domain-specific metrics (e.g., scientometrics, webometrics, patent analysis), user and usage research, and evaluation of information systems. Knowledge management is concerned with the sharing and distribution of internal and external information in organizations. The information market can be defined by the exchange of digital information on networks, especial the World Wide Web. Further important research areas of information science are information ethics, information law, information sociology, and information policy.

Information science provides basic research for other scientific fields, among others for computer science and for library science, and for a lot of practical endeavors, such as the construction of search engines, the organization of digital libraries as well as commercial information supply, the operation of catalogues of libraries, museums etc., the installation and maintenance of corporate knowledge management, the design of Web sites, and business strategies on the WWW.

The editors like to invite all information science scholars to offer

• monographs of research results (including Ph.D.-Theses) and
• suggestions for collections of papers
  for publication in K&I. All books may have a volume of about 300 pages or more. Monographs and articles in collections will be reviewed at least by two of the editors or co-editors.

For proposals, suggestions, questions, etc. please contact
Wolfgang G. Stock (stock@phil-fak.uni-duesseldorf.de),
Katsiaryna S. Baran (Katsiaryna.Baran@uni-duesseldorf.de) or
one of the co-editors.