A Framework For Relational Link Discovery

Publisher:
Springer-Verlag Berlin
Publication Type:
Conference Proceeding
Citation:
Lecture Notes in Computer Science - AI 2005: Advances In Artificial Intelligence, 2005, 3809 pp. 1311 - 1314
Issue Date:
2005-01
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Link discovery is an emerging research direction for extracting evidences and links from multiple data sources. This paper proposes a self-organizing framework for discovering links from multi-relational databases. It includes main functional modules for developing adaptive data transformers and representation specification, multi-relational feature construction, and self-organizing multi-relational correlation and link discovery algorithms.
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