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Intelligent Information Processing IV

5th IFIP International Conference on Intelligent Information Processing, October 19-22, 2008, Beijing, China

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Zhongzhi Shi

    1. Institute of Computing Technology, Chinese Academy of Sciences, China

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  2. E. Mercier-Laurent

    1. MODEME, IAE Research Center, Lyon University, France

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  3. D. Leake

    1. Indiana University, USA

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  • The papers in this volume were peer-reviewed and carefully selected
  • Much information in this series is published in advance of journal publication
  • The contributors in this volume are world-renowned experts in their field
  • Includes supplementary material: sn.pub/extras

Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 288)

Included in the following conference series:

Conference proceedings info: IIP 2008.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Keynote Presentations

    1. Semantic Computing

      • Phillip C-Y. Sheu
      Pages 1-2

    2. Towards Brain-inspired Web Intelligence

      • Ning Zhong
      Pages 3-4

    3. Data Mining Technologies Inspired from Visual Principle

      • Zongben Xu
      Pages 5-6

  3. Semantic Web Services

    1. A Context Model for Service Composition Based on Dynamic Description Logic

      • Wenjia Niu, Zhongzhi Shi, Liang Chang
      Pages 7-16

    2. Evaluation of Ontologies and DL Reasoners

      • Muhammad Fahad, Muhammad Abdul Qadir, Syed Adnan Hussain Shah
      Pages 17-27

    3. ER2OWL: Generating OWL Ontology from ER Diagram

      • Muhammad Fahad
      Pages 28-37

  4. Knowledge Acquisition and Management

    1. Voice knowledge acquisition system for the management of cultural heritage

      • Stefan du Château, Danielle Boulanger, Eunika Mercier-Laurent
      Pages 38-49

    2. Granularity of Knowledge from Different Sources

      • Maria A. Mach, Mieczyslaw L. Owoc
      Pages 50-57

    3. Fuzzy Ontology Models Based on Fuzzy Linguistic Variable for Knowledge Management and Information Retrieval

      • Jun Zhai, Yiduo Liang, Jiatao Jiang, Yi Yu
      Pages 58-67

  5. Data Mining

    1. Blog Classification: Adding Linguistic Knowledge to Improve the K-NN Algorithm

      • Ines Bayoudh, Nicolas Bechet, Mathieu Roche
      Pages 68-77

    2. A Modified Clustering Method with Fuzzy Ants

      • Jianbin Chen, Deying Fang, Yun Xue
      Pages 78-85

    3. An New Algorithm for Modeling Regression Curve

      • JiSheng Hao, LeRong Ma, WenDong Wang
      Pages 86-91

  6. Web Search

    1. Enhancing Web Search with Heterogeneous Semantic Knowledge

      • Rui Huang, Zhongzhi Shi
      Pages 92-101

    2. Exploring Words with Semantic Correlations from Chinese Wikipedia

      • Yun Li, Kaiyan Huang, Seiji Tsuchiya, Fuji Ren, Yixin Zhong
      Pages 103-108

    3. A Heuristic Knowledge Reduction Algorithm Based on Partition Subdivision and Consistent Degree

      • Wen Huo, Xiaoguang Hong
      Pages 109-117

  7. Cognition-based Intelligent Information Processing

    1. Object-based Image Retrieval with Attention Analysis and Spatial Re-ranking

      • Ke Gao, Shouxun Lin, Yongdong Zhang, Sheng Tang
      Pages 118-128

    2. Forecasting Stock Exchange Movements Using Artificial Neural Network Models and Hybrid Models

      • Erkam Güreşen, Gülgün Kayakutlu
      Pages 129-137

    3. A Robot Emotion Generation Mechanism Based on PAD Emotion Space

      • Gao Qingji, Wang Kai, Liu Haijuan
      Pages 138-147

    4. Study of Personalized Network Tutoring System Based on Emotional-cognitive Interaction

      • Manfei Qi, Ding Ma, Wansen Wang
      Pages 148-154
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  1. Intelligent Information Processing IV

Keywords

About this book

Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing “knowledge pieces” as rather universal objects that should fit to multi-purpose a- ing systems. According to great number of information system’s tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24.

Editors and Affiliations

  • Institute of Computing Technology, Chinese Academy of Sciences, China

    Zhongzhi Shi

  • MODEME, IAE Research Center, Lyon University, France

    E. Mercier-Laurent

  • Indiana University, USA

    D. Leake

Bibliographic Information

  • Book Title: Intelligent Information Processing IV

  • Book Subtitle: 5th IFIP International Conference on Intelligent Information Processing, October 19-22, 2008, Beijing, China

  • Editors: Zhongzhi Shi, E. Mercier-Laurent, D. Leake

  • Series Title: IFIP Advances in Information and Communication Technology

  • DOI: https://doi.org/10.1007/978-0-387-87685-6

  • Publisher: Springer New York, NY

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: IFIP International Federation for Information Processing 2008

  • Hardcover ISBN: 978-0-387-87684-9Published: 29 September 2008

  • Softcover ISBN: 978-1-4419-4686-7Published: 19 November 2010

  • eBook ISBN: 978-0-387-87685-6Published: 18 September 2008

  • Series ISSN: 1868-4238

  • Series E-ISSN: 1868-422X

  • Edition Number: 1

  • Number of Pages: XI, 267

  • Topics: Artificial Intelligence

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