|Title||Complex Relationship and Knowledge Discovery Support in the InfoQuilt System|
|Publication Type||Journal Article|
|Year of Publication||2002|
|Authors||Sanjeev Thacker, Shuchi Patel, Amit Sheth|
|Keywords||Complex Semantic Relationships, Human Directed Knowledge Discovery, Hypothesis Testing, Information correlation, Multi-agent system, Semantic Metadata|
Support for semantic content is becoming more common inWeb-accessible information systems. We see this support emerging with the use of ontologies and machine readable, annotated documents. The practice of domain modeling coupled with the extraction of domain-specific, contextually relevant metadata also supports the use of semantics. These advancements enable knowledge discovery approaches that define complex relationships between data that is autonomously collected and managed. The InfoQuilt1 system supports one such knowledge discovery approach. This paper presents (parts of) the InfoQuilt system with the focus on its use for modeling and utilizing complex semantic inter-domain relationships to enable human-assisted knowledge discovery over Web-accessible heterogeneous data. This includes the specification and execution of Information Scale (IScapes), a semantically rich information request and correlation mechanism.
|Full Text|| |
Amit Sheth, Sanjeev Thacker, and Shuchi Patel, 'Complex Relationship and Knowledge Discovery Support in the InfoQuilt System,'VLDB Journal, 12 (no. 1), May 2003, pp. 2-27. (DOI 10.1007/s00778-002-0071-z)