Representing ontologies using description logics, description graphs, and rules
نویسندگان
چکیده
منابع مشابه
Representing ontologies using description logics, description graphs, and rules
Description logics (DLs) are a family of state-of-the-art knowledge representation languages, and their expressive power has been carefully crafted to provide useful knowledge modeling primitives while allowing for practically effective decision procedures for the basic reasoning problems. Recent experience with DLs, however, has shown that their expressivity is often insufficient to accurately...
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Make information on the Web machine-processable Develop a vocabulary of a domain—an ontology Annotate information by ontology terms BENEFITS Implicit meaning in the data is made explicit Formal semantics of the ontology language can be used to explicate implicit information
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In modelling real-world knowledge, there often arises a need to represent and reason with meta-knowledge. To equip description logics (DLs) for dealing with such ontologies, we enrich DL concepts and roles with finite sets of attribute– value pairs, called annotations, and allow concept inclusions to express constraints on annotations. We show that this may lead to increased complexity or even ...
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Ontologies and Description Logics (DLs). Why putting them in a single chapter for this document devoted to AI research in Italy? Well, a good reason is that both research areas originated from a single, classic mainstream in AI: logic-based knowledge representation (KR). Indeed, starting from the late 80s, Italian researchers brought a radical contribution to the formal understanding of so-call...
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Objects can be said to be structured when their representation also contains their parts. While OWL in general can describe structured objects, description graphs are a recent, decidable extension to OWL which support the description of classes of structured objects whose parts are related in complex ways. Classes of chemical entities such as molecules, ions and groups (parts of molecules) are ...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2009
ISSN: 0004-3702
DOI: 10.1016/j.artint.2009.06.003