Object Oriented Design

Download Model Driven Architecture and Ontology Development by Dragan Gaševic, Dragan Djuric, Vladan Devedžic, Bran V. PDF

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By Dragan Gaševic, Dragan Djuric, Vladan Devedžic, Bran V. Selic

Defining a proper area ontology is mostly thought of an invaluable, to not say important step in virtually each software program undertaking. for the reason that software program offers with principles instead of with self-evident actual artefacts. in spite of the fact that, this improvement step is not often performed, as ontologies depend on well-defined and semantically strong AI ideas reminiscent of description logics or rule-based structures, and so much software program engineers are mostly unusual with those. Ga?evic and his co-authors attempt to fill this hole via protecting the topic of MDA software for ontology improvement at the Semantic net. half I in their ebook describes current applied sciences, instruments, and criteria like XML, RDF, OWL, MDA, and UML. half II provides the 1st exact description of OMG’s new ODM (Ontology Definition Metamodel) initiative, a specification that is anticipated to be within the type of an OMG language like UML. eventually, half III is devoted to functions and sensible elements of constructing ontologies utilizing MDA-based languages. The publication is supported via an internet site displaying many ontologies, UML and different MDA-based types, and the changes among them. "The booklet is both fitted to those that simply are looking to be told of the suitable technological panorama, to practitioners facing concrete difficulties, and to researchers looking tips that could almost certainly fruitful parts of analysis. The writing is technical but transparent and obtainable, illustrated all through with important and simply digestible examples." from the Foreword via Bran Selic, IBM Rational software program, Canada. "I don't know one other booklet that provides this type of prime quality perception into UML and ontologies." Steffen Staab, U Koblenz, Germany

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As Newell points out, there are three levels/views from the most concrete to the most abstract: the implementation level (originally, Newell called this level the logic level), the logical level (originally, the symbol level), and the knowledge level (epistemological level). The new names for the three levels and the adapted view of the levels presented here have been taken from [Russell & Norvig, 2002] and are more appropriate for the coverage in this book. x Implementation level. This is the level of the knowledge base of an operational intelligent system.

Knowledge Representation Another interesting approach is that of using controlled languages for knowledge representation [Pulman, 1996]. A controlled language is a restricted form of a natural language that can be systematically related to the underlying knowledge representation language of an intelligent system. The restrictions apply to both the vocabulary and the syntax of the natural language, and produce output that can be analyzed and processed both as a formal language and as a restricted natural language.

1 Logic-Based Representation Languages Much knowledge representation can be done in a logic-based language (or “logic language” for simplicity). Moreover, many of the other frequently used knowledge representation paradigms are built on top of formal logics. Note the plural here – there are actually many formal logics. They partially overlap, but are also different in terms of how much they can express and in terms of notational and other details. 5 Knowledge Representation Languages 21 Both historically and pragmatically, logic-based languages are an important branch of AI.

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