Knowledge Science, Engineering and Management, 1st ed. 2016 9th International Conference, KSEM 2016, Passau, Germany, October 5-7, 2016, Proceedings Lecture Notes in Artificial Intelligence Series
Coordonnateurs : Lehner Franz, Fteimi Nora
This book constitutes the refereed proceedings of the 9th International Conference on Knowledge Science, Engineering and Management, KSEM 2016, held in Passau, Germany, in October 2016.
The 49 revised full papers presented together with 2 keynotes were carefully selected and reviewed from 116 submissions. The papers are organized in topical sections on Clustering and Classification; Text Mining and Lexical Analysis; Content and Document Analysis; Enterprise Knowledge; Formal Semantics and Fuzzy Logic; Knowledge Engineering; Knowledge Enrichment and Visualization; Knowledge Management; Knowledge Retrieval; Knowledge Systems and Security; Neural Networks and Artificial Intelligence; Ontologies; and Recommendation Algorithms and Systems.
Clustering and Classification.- Text Mining and Lexical Analysis.- Content and Document Analysis.- Enterprise Knowledge.- Formal Semantics and Fuzzy Logic.- Knowledge Engineering.- Knowledge Enrichment and Visualization.- Knowledge Management.- Knowledge Retrieval.- Knowledge Systems and Security.- Neural Networks and Artificial Intelligence.- Ontologies.- Recommendation Algorithms and Systems.
Includes supplementary material: sn.pub/extras
Date de parution : 10-2016
Ouvrage de 642 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierThèmes de Knowledge Science, Engineering and Management :
Mots-clés :
enterprise ontologies; formal semantics; knowledge representation and reasoning; natural language processing; Web and social media search; artificial intelligence; description logics; enterprise knowledge; information extraction; knowledge management; knowledge retrieval; knowledge systems; knowledge visualization; lexical semantics; mapreduce algorithms; ontology engineering; reasoning about belief and knowledge; taxonomies and vocabularies; text mining; vagueness and fuzzy logic