2003
DOI: 10.1007/978-3-540-24599-5_42
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Online Justification for Tabled Logic Programs

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Cited by 6 publications
(14 citation statements)
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“…However, the underlying evaluation typically provides little or no information as to why the conclusion was reached. In [23] we proposed an efficient justifier to provide evidence, in terms of proof, for the truth value of the result generated by query evaluation of a tabled logic program. The justification is based on program transformation.…”
Section: Evaluation and Justificationmentioning
confidence: 99%
See 2 more Smart Citations
“…However, the underlying evaluation typically provides little or no information as to why the conclusion was reached. In [23] we proposed an efficient justifier to provide evidence, in terms of proof, for the truth value of the result generated by query evaluation of a tabled logic program. The justification is based on program transformation.…”
Section: Evaluation and Justificationmentioning
confidence: 99%
“…The result of justification is in the form of evidence trees [23], which reflect the derivation relation between the subgoals represented by the literals. For the S-matching problem, the justification results contain sufficient information, which can be converted later to the adapter.…”
Section: Evaluation and Justificationmentioning
confidence: 99%
See 1 more Smart Citation
“…The most relevant work is represented by the recent proposals in the field of justification of computed answers in logic programming. The proposals presented in [20,18] discuss the justification of computed answers obtained from logic programs with negation, under the well-founded semantics, 1 in the context of the tabling logic programming system XSB. They make use of XSB's existing tabling mechanisms to store information for the creation of a justification of the computed answer.…”
Section: Relevant Work About Debuggingmentioning
confidence: 99%
“…Justification [18,10,20] is the process of generating evidence, in terms of high-level proofs based on the answers (or models) produced during the computation. Therefore, justification plays an important role in manual and automatic verification, by providing a proof description if a given property holds; otherwise, it generates a counter-example, showing where the violation/conflict occurs in the system.…”
Section: Introductionmentioning
confidence: 99%