A. O'Hare and A. Sheth, "The Interpreted-Compiled Range of AI/DB Systems," SIGMOD Record, 18 (1), March 1989. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Q-Data: Using Deductive Database Technology To Improve Data.. - Sheth, Wood, Kashyap Self-citation (Sheth) (Correct)
....the advantages and disadvantages of systems built around Prolog, SQL embedded in a procedural language, and LDL. Prolog There is an impedance mismatch between Prolog and databases being searched by the rule processing layer. Prolog retrieves and processes facts a tuple at a time (e.g. see [11]) while database queries in SQL return answers a set at a time. This constrains designers who interface Prolog systems to DBMSs, to query those databases a tuple at a time. This increases the load on the DBMS and the network, or requires optimized data retrieval that combines the evaluation of ....
A. O'Hare and A. Sheth, "The Interpreted-Compiled Range of AI/DB Systems," SIGMOD Record, 18 (1), March 1989.
The Intelligent Database Interface: Integrating AI and.. - Finin, O'Hare (1990) (11 citations) Self-citation (O'hare) (Correct)
.... systems in general and expert systems in particular with efficient access to one or more databases on one or more remote database management systems (DBMS) which support SQL [ Chamberlin, et al. 1976 ] The query language of the IDI is the Intelligent Database Interface Language (IDIL) O Hare, 1989 ] and is based on a restricted subset of function free Horn clauses where the head of a clause represents the target list (i.e. the form of the result relation) and the body is a conjunction of literals which denote database relations or operations on the relations and or their attributes (e.g. ....
....the IDI as a stand alone system so that we may avoid complicating our discussions with the details of an AI system such as the ISS. The design of the IDI was heavily influenced by previous research in the area of AI DB integration [ Kellog, et al. 1986, O Hare, 1987, O Hare and Travis, 1989, O Hare and Sheth, 1989 ] One of the more significant design criteria that this lead to is the support of nontrivial queries in IDIL. That is, to allow for queries involving more than just a single database relation. This capability allows the AI system to off load computations that are more efficiently processed by ....
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A. O'Hare and A. Sheth, "The interpreted-compiled range of AI/DB systems", SIGMOD Record, 18(1), March 1989.
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