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Logic-Based Approach to Semistructured Data Retrieval

Mohand-SaÏd HacidContact Information and Farouk ToumaniContact Information

(4)  Department of Computer Sciences, Purdue University, West Lafayette, IN 47907, USA
(5)  LIMOS-ISIMA, Campus des Cezeaux, B.P. 125, 63173 AUBIERE, France
Abstract
We investigate logic-based query language for semistructured data, that is data having irregular, partial or only implicit structure. A typical example is the data found on theWeb.We present the syntax and semantics of SemLog, a logic for querying and restructuring semistructured data, and show how this language can be used to query video data.

Keywords  Intelligent information retrieval - Logic for databases - Integrating navigation and search - Video retrieval

Database logic

Contact Information Mohand-SaÏd Hacid
Email: mshacid@cs.purdue.edu

Contact Information Farouk Toumani
Email: ftoumani@sp.isima.fr
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