Knowledge Science, Engineering and Management

1. Front Matter

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2. Formal Semantics

   1. Coming Upon the Classic Notion of Implicit Knowledge Again

      • Bernhard Heinemann

      Pages 1-12

   2. Knowledge Preemption and Defeasible Rules

      • Éric Grégoire

      Pages 13-24

   3. A Method for Merging Cultural Logic Systems

      • Xiaoxin Jing, Shier Ju, Xudong Luo

      Pages 25-36

3. Content and Document Analysis

   1. Automatic Building of Socio-semantic Networks for Requirements Analysis

      • Christophe Thovex, Francky Trichet

      Pages 37-48

   2. A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation

      • Jungang Xu, Shilong Zhou, Lin Qiu, Shengyuan Liu, Pengfei Li

      Pages 49-60

   3. An Ordinal Multi-class Classification Method for Readability Assessment of Chinese Documents

      • Zhiwei Jiang, Gang Sun, Qing Gu, Daoxu Chen

      Pages 61-72

4. Concept and Lexical Analysis

   1. Applying Triadic FCA in Studying Web Usage Behaviors

      • Sanda Dragoş, Diana Haliţă, Christian Săcărea, Diana Troancă

      Pages 73-80

   2. Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery

      • Lili Mou, Ge Li, Zhi Jin, Lu Zhang

      Pages 81-92

   3. Using Standardized Lexical Semantic Knowledge to Measure Similarity

      • Wafa Wali, Bilel Gargouri, Abdelmajid Ben Hamadou

      Pages 93-104

5. Clustering and Classification

   1. Impact of the Sakoe-Chiba Band on the DTW Time Series Distance Measure for kNN Classification

      • Zoltan Geler, Vladimir Kurbalija, Miloš Radovanović, Mirjana Ivanović

      Pages 105-114

   2. Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix

      • Liping Jing, Dong Deng, Jian Yu

      Pages 115-126

   3. Dividing Traffic Sub-areas Based on a Parallel K-Means Algorithm

      • Binfeng Wang, Li Tao, Chao Gao, Dawen Xia, Zhuobo Rong, Wu Wang et al.

      Pages 127-137

6. Metamodelling and Conceptual Modelling

   1. On the Social Network Based Semantic Annotation of Conceptual Models

      • Hans-Georg Fill

      Pages 138-149

   2. Development of an Evaluation Approach for Customer Service Interaction Models

      • Hisashi Masuda, Wilfrid Utz, Yoshinori Hara

      Pages 150-161

   3. Developing Conceptual Modeling Tools Using a DSL

      • Niksa Visic, Dimitris Karagiannis

      Pages 162-173

7. Enterprise Knowledge

   1. The Core Elements of Corporate Knowledge Management and Their Reflection in Research and Practice – The Case of Knowledge Management Systems

      • Nora Fteimi, Franz Lehner

      Pages 174-185

   2. Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search

      • Michael Kaufmann, Gwendolin Wilke, Edy Portmann, Knut Hinkelmann

      Pages 186-197

   3. A Modeling Procedure for Information and Material Flow Analysis Comprising Graphical Models, Rules and Animated Simulation

      • Christoph Prackwieser

      Pages 198-209

8. Knowledge Discovery and Retrieval

   1. A Practical Approach to Extracting Names of Geographical Entities and Their Relations from the Web

      • Cungen Cao, Shi Wang, Lin Jiang

      Pages 210-221

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.

• 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

• Faculty of Computer Science, Knowledge Engineering Research Group, University of Vienna, Vienna, Austria

  Robert Buchmann

• Faculty of Engineering, Research Center for Sustainable Products and Processes, Lucian Blaga University of Sibiu, Sibiu, Romania

  Claudiu Vasile Kifor

• Department of Computer Science, Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China

  Jian Yu

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