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Knowledge Science, Engineering and Management -

Knowledge Science, Engineering and Management

7th International Conference, KSEM 2014, Sibiu, Romania, October 16-18, 2014. Proceedings
Buch | Softcover
XX, 390 Seiten
2014
Springer International Publishing (Verlag)
978-3-319-12095-9 (ISBN)
CHF 95,85 inkl. MwSt
This book constitutes the refereed proceedings of the 7th International Conference on Knowledge Science, Engineering and Management, KSEM 2014, held in Sibiu, Romania, in October 2014. The 30 revised full papers presented together with 5 short papers and 3 keynotes were carefully selected and reviewed from 77 submissions. The papers are organized in topical sections on formal semantics; content and document analysis; concept and lexical analysis; clustering and classification; metamodeling and conceptual modeling; enterprise knowledge; knowledge discovery and retrieval; formal knowledge processing; ontology engineering and management; knowledge management; and hybrid knowledge systems.

Formal semantics.- Content and document analysis.- Concept and lexical analysis.- Clustering and classification.- Metamodeling and conceptual modeling.- Enterprise knowledge.- Knowledge discovery and retrieval.- Formal knowledge processing.- Ontology engineering and management.- Knowledge management.-Hybrid knowledge systems.

Erscheint lt. Verlag 24.9.2014
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XX, 390 p. 135 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 630 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • business-IT alignment • business process modeling • content analysis and feature selection • data extraction and integration • Data Mining • Document Analysis • enterprise ontologies, taxonomies and vocabularies • Information Retrieval • Knowledge Representation and Reasoning • Lexical Semantics • machine learning • model development and analysis • Natural Language Processing • Reference Models • Semantic networks • semantic web description languages • similarity measures • Software engineering • Software Engineering / Softwareentwicklung • Softwareentwicklung • supervised learning • Unsupervised Learning
ISBN-10 3-319-12095-6 / 3319120956
ISBN-13 978-3-319-12095-9 / 9783319120959
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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