Towards a Decidable LogicWeb via Length-Bounded Derivations

نویسندگان

  • Keehang Kwon
  • Dae-Seong Kang
چکیده

LogicWeb has traditionally lacked devices for dealing with intractable queries. We address this limitation by adopting length-bounded inference, a form of approximate reasoning. A length-bounded inference is of the form pv(P, G, n) which is a success if a query G can be proved from the web page P within n proof steps. It thus makes LogicWeb decidable and more tractable. During the process, we propose a novel module language for logic programming as a device for structuring programs and queries. key words: module language, semantic web, length-bounded reasoning, approximate reasoning.

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عنوان ژورنال:
  • CoRR

دوره abs/1701.03615  شماره 

صفحات  -

تاریخ انتشار 2017