Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8793)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: KSEM 2014.
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Table of contents (34 papers)
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Enterprise Knowledge
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Knowledge Discovery and Retrieval
Other volumes
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Knowledge Science, Engineering and Management
Keywords
- artificial intelligence
- business process modeling
- business-it alignment
- 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
- supervised learning
- unsupervised learning
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Knowledge Science, Engineering and Management
Book Subtitle: 7th International Conference, KSEM 2014, Sibiu, Romania, October 16-18, 2014. Proceedings
Editors: Robert Buchmann, Claudiu Vasile Kifor, Jian Yu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-12096-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-12095-9Published: 24 September 2014
eBook ISBN: 978-3-319-12096-6Published: 10 October 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 390
Number of Illustrations: 135 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Software Engineering, Database Management, Information Systems Applications (incl. Internet)