Abstract
LILOG-DB is a deductive database system for the support of knowledge-based systems, and many aspects of its theory([7,13]), architecture([15,11]), conceptual backgronnd([14]) and implementation([6,10]) have already been discussed.
However, one of our goals when we started was to work out principles, algorithms, and an architecture for deductive query processing with heterogeneously structured complex objects, and to show their practical relevance and feasibility by implementing a full-scale (“non-toy”) query-processor that relies on them.
This paper briefly reviews the data model and query languages we started from, in order to then discuss the basic design rationales of the LILOG-DB query processor.
Most importantly, we evaluate our experiences. Our results suggest some major revisions and extensions of the concepts we started from; these are are discussed at the end of the paper.
We will keep our presentation on a rather high level, partially because we do not want to bargain structural coherence for algorithmic detail, partially because a systematic evaluation and benchmarking of our system is still on its way.
Nevertheless, the experiences discussed here are justified by observations and preliminary measurements on our first prototype, which has been completed in late 1989.
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© 1991 Springer-Verlag Berlin Heidelberg
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Ludwig, T. (1991). Query Processing in LILOG-DB: What It Is and Where It Goes. In: Appelrath, HJ. (eds) Datenbanksysteme in Büro, Technik und Wissenschaft. Informatik-Fachberichte, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76530-8_15
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DOI: https://doi.org/10.1007/978-3-642-76530-8_15
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