Local closed world reasoning: a personal view on current status and trends

1 Introduction In computer science and artificial intelligence, an ontology is a model of (some aspect of) the world that introduces the vocabulary of a particular domain, and specifies the meaning (semantics) of terms. Today's ontologies are based on the description logics (DLs). With the help of D...

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Bibliographic Details
Published inFrontiers of information technology & electronic engineering Vol. 13; no. 4; pp. 250 - 252
Main Authors Pan, Jeff Z., Ren, Yuan
Format Journal Article
LanguageEnglish
Published Heidelberg SP Zhejiang University Press 01.04.2012
Springer Nature B.V
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Summary:1 Introduction In computer science and artificial intelligence, an ontology is a model of (some aspect of) the world that introduces the vocabulary of a particular domain, and specifies the meaning (semantics) of terms. Today's ontologies are based on the description logics (DLs). With the help of DL reasoners, implicit knowledge can be inferred from explicit knowledge in an ontology. Different from the relational database or logic programming, ontologies impose the open world assumption (OWA) instead of the closed world assumption (CWA). In CWA, a proposition will be regarded as false, if there is no evidence for it being true. While in OWA,
Bibliography:1 Introduction In computer science and artificial intelligence, an ontology is a model of (some aspect of) the world that introduces the vocabulary of a particular domain, and specifies the meaning (semantics) of terms. Today's ontologies are based on the description logics (DLs). With the help of DL reasoners, implicit knowledge can be inferred from explicit knowledge in an ontology. Different from the relational database or logic programming, ontologies impose the open world assumption (OWA) instead of the closed world assumption (CWA). In CWA, a proposition will be regarded as false, if there is no evidence for it being true. While in OWA
ISSN:1869-1951
2095-9184
1869-196X
2095-9230
DOI:10.1631/jzus.C1101004