InfoHarness: A System for Search and Retrieval of Heterogeneous Information
Summary: InfoHarness enables rapid access to heterogeneous data (incl. Web) without restructuring, via metadata-encoded objects and a stable abstract/terminal class hierarchy for storage, indexing, and retrieval. It combines attribute-based and reference indices to boost retrieval quality, supports cross-collection result fusion, automates metadata extractor design for structured/unstructured data, and includes a deployed prototype with an HTTP gateway plan. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Leon Shklar (Bell Communications Research; Rutgers University)
- 2. Amit Sheth (University of Georgia)
- 3. Vipul Kashyap (Rutgers University; University of Georgia)
- 4. Satish Thatte (Bell Communications Research)
BibTeX Citation
@inproceedings{shklar_sigmod95,
title = {{InfoHarness: A System for Search and Retrieval of Heterogeneous Information}},
author = {Shklar, Leon and Sheth, Amit and Kashyap, Vipul and Thatte, Satish},
series = {{SIGMOD} '95},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/223784.223891},
url = {https://dl.acm.org/doi/10.1145/223784.223891},
year = {1995}
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