DOI: 10.29007/dtnz
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Progress in Automating Higher-Order Ontology Reasoning

Abstract: We report on the application of higher-order automated theorem proving in ontology reasoning. Concretely, we have integrated the Sigma knowledge engineering environment and the Suggested Upper-Level Ontology (SUMO) with the higher-order theorem prover LEO-II. The basis for this integration is a translation from SUMO's SUO-KIF representations into the new typed higher-order form representation language TPTP THF. We illustrate the benefits of our integration with examples, report on experiments and analyze open … Show more

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Cited by 5 publications
(4 citation statements)
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“…This article combines and extends previous results [88,89]. A main extension is that relevance filtering and scalability to large knowledge bases, which was still mentioned as future work before, has been included in the studies in this article.…”
Section: Related Worksupporting
confidence: 71%
“…This article combines and extends previous results [88,89]. A main extension is that relevance filtering and scalability to large knowledge bases, which was still mentioned as future work before, has been included in the studies in this article.…”
Section: Related Worksupporting
confidence: 71%
“…On the practical side there are now several automated higher-order reasoning systems available in our approach that can be uniformly applied to (intuitively sound) formalizations of context. This article combines and extends previous results [88,89]. A main extension is that relevance filtering and scalability to large knowledge bases, which was still mentioned as future work before, has been included in the studies in this article.…”
Section: Related Worksupporting
confidence: 52%
“…This research, amongst others, is currently continued in the DFG project ONTOLEO (BE 2501/6-1). In ONTOLEO we study whether our approach can be applied to automate modalities in ontology reasoning [18,19]. However, our work is obviously relevant also for many other application directions.…”
Section: Resultsmentioning
confidence: 99%