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oai:www.ideals.illinois.edu:2142/81746 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Doan, AnHai Clement Yu Wu, Wensheng 2015-09-25T20:20:15Z 2015-09-25T20:20:15Z 10000-01-01 2006 2006 This dissertation presents IceQ, a novel and effective interface integration system. In developing IceQ, we address the limitations of existing solutions and make several key contributions. First, we propose a hierarchical modeling of interfaces and develop a novel spatial clustering algorithm to extract the hierarchical schema of query interface. Second, we develop a novel interactive clustering-based matching algorithm to accurately match a large number of schemas and effectively resolve uncertain mappings via user interaction. Third, we develop a question-answering technique to learn attribute instances from the Web to assist in schema matching. Fourth, we propose a novel constraint-based optimization framework for merging schemas and develop an effective merging algorithm based on the idea of clustering aggregation. Extensive experiments have been conducted to evaluate IceQ and the results show that it is highly effective. Made available in DSpace on 2015-09-25T20:20:15Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3243027.pdf: 3632718 bytes, checksum: c4cccd07aa1e37d41f0d07d43a614295 (MD5) Previous issue date: 2006 Embargo set by: Seth Robbins for item 83027 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 112 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006. http://hdl.handle.net/2142/81746 (MiAaPQ)AAI3243027 eng Computer Science Integrating Deep Web Data Sources text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.