Knowledge Science, Engineering and Management

9th International Conference, KSEM 2016, Passau, Germany, October 5-7, 2016, Proceedings

  • Franz Lehner
  • Nora Fteimi

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9983)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9983)

Table of contents

  1. Front Matter
    Pages I-XIX
  2. Clustering and Classification

    1. Front Matter
      Pages 1-1
    2. Weikang Rui, Kai Xing, Yawei Jia
      Pages 3-14
    3. Liang Yuan, Zhiling Hong, Lifei Chen, Qiang Cai
      Pages 15-27
    4. Hao Sheng, Weichao Feng, Shuo Zhang
      Pages 28-39
  3. Text Mining and Lexical Analysis

    1. Front Matter
      Pages 41-41
    2. Jianhui Fu, Shi Wang, Ya Wang, Cungen Cao
      Pages 43-54
    3. Fang Fang, Ya Wang, Luchen Zhang, Cungen Cao
      Pages 55-68
    4. Stuart J. Blair, Yaxin Bi, Maurice D. Mulvenna
      Pages 69-81
    5. Jilei Wang, Shiying Luo, Yanning Li, Shu-Tao Xia
      Pages 82-93
  4. Content and Document Analysis

    1. Front Matter
      Pages 95-95
    2. Yang Yan, Tingwen Liu, Li Guo, Jiapeng Zhao, Jinqiao Shi
      Pages 110-122
    3. Jie Chen, Chunxia Zhang, Zhendong Niu
      Pages 123-133
    4. Zahra Noor, Muhammad Usman Akram, Mahmood Akhtar, Muhammad Saad
      Pages 134-145
  5. Enterprise Knowledge

    1. Front Matter
      Pages 147-147
    2. Fan Li, WenLi Yu, JinJing Zhang, Li Li
      Pages 149-158
    3. Lina Abassi, Imen Boukhris
      Pages 185-196

About these proceedings

Introduction

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. 

Keywords

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

Editors and affiliations

  • Franz Lehner
    • 1
  • Nora Fteimi
    • 2
  1. 1.University of PassauPassauGermany
  2. 2.University of Passau PassauGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-47650-6
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-47649-0
  • Online ISBN 978-3-319-47650-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book