Semantic knowledge management: integrating ontology management, knowledge discovery, and human language technologies

Despite its explosive growth over the last decade, the Web remains essentially a tool to allow humans to access information. Semantic Web technologies likeRDF, OWL and other W3C standards aim to extend the Web’s capability through increased availability of machine-processable information. Davies, Grobelnik and Mladenic have grouped contributions from renowned researchers into four parts: technology; integration aspects of knowledge management; knowledge discovery and human language technologies; and case studies. Together, they offer a concise vision of semantic knowledge management, ranging from knowledge acquisition to ontology management to knowledge integration, and their applications indomains such as telecommunications, social networks and legal information processing. INDICE: From the contents 1) Introduction (Davies, Grobelnik, Mladenic).- 2) Ontology Management (Bloehdorn, Haase, Huang, Sure, Völker, van Harmelen, Studer).- 3) Knowledge Discovery for Semantic Web (Mladenic, Grobelnik, Fortuna, Grcar).- 4) Human Language Technologies (Bontcheva, Davis, Funk, Li, Wang).-5) OntoSTUDIO as an Ontology Engineering Environment (Weiten).- 6) Shared Ontology for Knowledge Management (Kiryakov, Popov, Kitchukov, Angelov).- 7) Semantically Enhanced Search and Browse (Duke, Heizmann).- 8) Semantic Web for Knowledge Sharing (Kings, Davies).- 9) Natural Language Generation from Ontologies (Bontcheva, Davis).- 10) Ontology Generation from Social Networks (Grobelnik, Mladenic, Fortuna).- 11) Capturing Documents Semantics for Ontology Generation and Document Summarization (Baxter, Klimt, Grobelnik, Schneider, Witbrock, Mladenic).- 12) Visualization of Temporal Semantic Spaces (Fortuna, Mladenic, Grobelnik).

• ISBN: 978-3-540-88844-4
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 265
• Fecha Publicación: 01/11/2008
• Nº Volúmenes: 1
• Idioma: Inglés