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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb001...
Part of book or chapter of book . 2005 . Peer-reviewed
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Querying concept-based knowledge bases

Authors: Maurizio Lenzerini; Andrea Schaerf;

Querying concept-based knowledge bases

Abstract

Much of the research on terminological reasoning aims at characterizing concept languages (also called terminological languages) with respect to both expressive power and computational complexity of computing subsumption. On the other hand, little attention has been paid to studying concept languages as query languages, i.e. as a means for extracting information from a concept-based knowledge base. In this paper we address this problem by exploring the possibility of using two different concept languages, one for asserting facts about individual objects, and the other for querying a set of such assertions. Contrary to many negative results on the complexity of terminological reasoning, our work shows that, provided that a limited language is used for the assertions, it is possible to employ a richer query language while keeping the reasoning process tractable. We also show that, on the other hand, there are constructs that make query answering inherently intractable.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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