Paper
18 February 1997 SIMS: addressing the problem of heterogeneity in databases
Yigal Arens
Author Affiliations +
Proceedings Volume 2938, Command, Control, Communications, and Intelligence Systems for Law Enforcement; (1997) https://doi.org/10.1117/12.266759
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States
Abstract
The heterogeneity of remotely accessible databases -- with respect to contents, query language, semantics, organization, etc. -- presents serious obstacles to convenient querying. The SIMS (single interface to multiple sources) system addresses this global integration problem. It does so by defining a single language for describing the domain about which information is stored in the databases and using this language as the query language. Each database to which SIMS is to provide access is modeled using this language. The model describes a database's contents, organization, and other relevant features. SIMS uses these models, together with a planning system drawing on techniques from artificial intelligence, to decompose a given user's high-level query into a series of queries against the databases and other data manipulation steps. The retrieval plan is constructed so as to minimize data movement over the network and maximize parallelism to increase execution speed. SIMS can recover from network failures during plan execution by obtaining data from alternate sources, when possible. SIMS has been demonstrated in the domains of medical informatics and logistics, using real databases.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yigal Arens "SIMS: addressing the problem of heterogeneity in databases", Proc. SPIE 2938, Command, Control, Communications, and Intelligence Systems for Law Enforcement, (18 February 1997); https://doi.org/10.1117/12.266759
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KEYWORDS
Databases

Data modeling

Weapons

Associative arrays

Manufacturing

Systems modeling

Artificial intelligence

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