Collaborative Knowledge Acquisition from Semantically Disparate, Distributed Data Sources

This is the first book to offer a cohesive treatment of the research problems in collaborative knowledge acquisition from semantically disparate information sources & approaches for addressing the problems. The book discusses the fundamental advances in this area covering a broad range & complexity of research issues. The approach taken incorporates a synergistic synthesis of insights, algorithms & results drawn from multiple areas including: Artificial Intelligence especially machine learning, data mining, knowledge representation & inference, intelligent agents & multi-agent systems; Information Systems especially databases, information integration, semantic web; & Distributed computing & software engineering (e.g. service-oriented computing). Written for researchers & graduate students as well as advanced practitioners in data mining, semantic technologies, AI, Information integration, the semantic web, & information systems, this accessible self-contained survey will be a valuable reference tool.

[1]  Vasant Honavar,et al.  Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources , 2005, DILS.

[2]  Vasant Honavar,et al.  Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction , 2002, SARA.

[3]  Vasant Honavar,et al.  Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components , 2004, SWDB.

[4]  Vasant Honavar,et al.  Learning decision tree classifiers from attribute value taxonomies and partially specified data , 2003, ICML 2003.

[5]  Vasant Honavar,et al.  Learning Ontology-Aware Classifiers , 2005, Discovery Science.

[6]  Vasant Honavar,et al.  Learning Classifiers from Semantically Heterogeneous Data , 2004, CoopIS/DOA/ODBASE.

[7]  Vasant Honavar,et al.  A framework for semantic web services discovery , 2005, WIDM '05.

[8]  Vasant Honavar,et al.  Collaborative Ontology Building with Wiki@nt , 2004 .

[9]  Vasant Honavar,et al.  Generation of attribute value taxonomies from data for data-driven construction of accurate and compact classifiers , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

[10]  Vasant Honavar,et al.  Decision Tree Induction from Distributed Heterogeneous Autonomous Data Sources , 2003 .

[11]  Vasant Honavar,et al.  Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources , 2005, Discovery Science.

[12]  Vasant Honavar,et al.  Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data , 2006, Knowledge and Information Systems.

[13]  Vasant Honavar,et al.  Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation , 2004, IKE.

[14]  Vasant Honavar,et al.  Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources , 2001, Emergent Neural Computational Architectures Based on Neuroscience.

[15]  Vasant Honavar,et al.  A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments , 2003, ILP.

[16]  Vasant Honavar,et al.  A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees , 2004, Int. J. Hybrid Intell. Syst..

[17]  Vasant Honavar,et al.  Distributed knowledge networks , 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

[18]  Vasant Honavar,et al.  AVT-NBL: an algorithm for learning compact and accurate naive Bayes classifiers from attribute value taxonomies and data , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).