PROTOTYPE OF PION in .NET

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Note that ODP introduces a degree of non-determinism: selecting different maximal consistent subsets of s( , f, k) may yield different answers to the query j% f. The simplest example of this is = {f, :f}.
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5.8. PROTOTYPE OF PION 5.8.1. Implementation
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We are implementing the prototype of PION by using SWI-Prolog.5 PION implements an inconsistency reasoner based on a linear extension strategy and the syntactic relevance-based selection function as discussed in Sections 5.6 and 5.7. PION is powered by XDIG, an extended DIG Description Logic interface for Prolog (Huang and Visser, 2004). PION supports the TELL requests in DIG data format and in OWL, and the ASK requests in DIG data format. A prototype of PION is available for download at the website: http://wasp.cs.vu.nl/sekt/pion. The architecture of a PION is designed as an extension of the XDIG framework, and is shown in Figure 5.3. A PION consists of the following components:  DIG Server: The standard XDIG server acts as PION s XDIG server, which deals with requests from other ontology applications. It not only supports standard DIG requests, like tell and ask, but also provides additional reasoning facilities, like the identi cation of the reasoner or change of the selected selection functions.  Main Control Component: The main control component performs the main processing, like query analysis, query pre-processing, and the extension strategy, by calling the selection function and interacting with the ontology repositories.
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Architecture of PION.
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http://www.swi-prolog.org
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REASONING WITH INCONSISTENT ONTOLOGIES
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 Selection Functions: The selection function component is an enhanced component to XDIG, it de nes the selection functions that may be used in the reasoning process.  DIG Client: PION s DIG client is the standard DIG client, which calls external description Logic reasoners that support the DIG interface to obtain the standard Description Logic reasoning capabilities.  Ontology Repositories: The ontology repositories are used to store ontology statements, provided by external ontology applications. The current version of the PION implements a reasoner based on a linear extension strategy and a k-relevance selection function as discussed in Sections 5.2 and 5.5. A screenshot of the PION testbed, is shown in Figure 5.4.
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5.8.2. Experiments and Evaluation
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We have tested the prototype of PION by applying it on several example ontologies. These example ontologies are the bird example, the brain example, the Married-Woman example, and the MadCow Ontology, which are discussed in Section 5.3. We compare PION s answers with their intuitive answers which is supposed by a human to see to what extend PION can provide intended answers. For a query, there might exist the following difference between an answer by PION and its intuitive answer.  Intended Answer: PION s answer is the same as the intuitive answer.  Counter-Intuitive Answer: PION s answer is opposite to the intuitive answer. Namely, the intuitive answer is accepted whereas PION s answer is rejected, or vice versa.  Cautious Answer: The intuitive answer is accepted or rejected, but PION s answer is undetermined.  Reckless Answer: PION s answer is accepted or rejected whereas the intuitive answer is undetermined. We call it a reckless answer because under this situation PION returns just one of the possible answers without seeking other possibly opposite answers, which may lead to undetermined. For each concept C in those ontologies, we create an instance the_C on them. We make both a positive instance query and a negative instance query of the instance the_C for some concepts D in the ontologies, like a query is the_C a D PION test results are shown in Figure 5.5. Of the four test examples, PION can return at least 85.7 % intended answers. Of the 396 queries, PION returns 24 cautious answers or reckless answers, and 2 counter-intuitive answers. However, we would like to point out that the high rate of the intended answers includes many undetermined answers. One interesting (and we believe realistic) property of the Mad
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