1999 | OriginalPaper | Buchkapitel
Developing a Knowledge Network of URLs
verfasst von : Daisuke Ikeda, Tsuyoshi Taguchi, Sachio Hirokawa
Erschienen in: Discovery Science
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We presented the system KN which visualizes Web graph. The graph is personal and progressive. Each user develops interactively his knowledge with the system.URLs obtained by a search engine has almost no connections each other. But, with an adequate background knowledge, we have a Web graph in which some URLs have connections. Moreover, when we get a URL from our system, we easily see the structure around the URL.Increasing background knowledges and the contents of URL database is an important future work. It is also a future work to build a system that enables a user to add some information to a URL. For example, keywords used in a search is an important and very personal property for the URLs.