By Dragan Gaševic, Dragan Djuric, Vladan Devedžic, Bran V. Selic
Defining a proper area ontology is mostly thought of an invaluable, to not say beneficial step in virtually each software program undertaking. reason why software program bargains with rules instead of with self-evident actual artefacts. notwithstanding, this improvement step is hardly performed, as ontologies depend on well-defined and semantically robust AI options corresponding to description logics or rule-based platforms, and such a lot software program engineers are mostly unusual with those. Ga?evic and his co-authors try and fill this hole by means of protecting the topic of MDA program for ontology improvement at the Semantic internet. half I in their e-book describes latest applied sciences, instruments, and criteria like XML, RDF, OWL, MDA, and UML. half II offers the 1st particular description of OMG’s new ODM (Ontology Definition Metamodel) initiative, a specification that's anticipated to be within the type of an OMG language like UML. ultimately, half III is devoted to functions and sensible facets of constructing ontologies utilizing MDA-based languages. The publication is supported through an internet site displaying many ontologies, UML and different MDA-based types, and the adjustments among them. "The e-book is both suited for those that only are looking to be told of the proper technological panorama, to practitioners facing concrete difficulties, and to researchers looking tips to probably fruitful components of study. The writing is technical but transparent and available, illustrated all through with priceless and simply digestible examples." from the Foreword by way of Bran Selic, IBM Rational software program, Canada. "I have no idea one other ebook that provides one of these prime quality perception into UML and ontologies." Steffen Staab, U Koblenz, Germany
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Extra resources for Model Driven Architecture and Ontology Development
The actual meaning of the symbols is unimportant in the reasoning process; what matters is the formal proof). A deduction system for propositional logic is called a propositional calculus. However, this simple form of reasoning may be inadequate or too mechanistic. In many situations, it is difficult to assign a variable to a whole statement. Also, the truth value of a statement can often be subjective and prone to interpretation, and is generally computationally exponential. First-order logic offers a more fine-grained approach, in which parts of statements can be represented and reasoned about logically [Durkin, 1994; Russell & Norvig, 2002; Sowa, 2000].
Much of the interoperability between different applications in e-commerce also relies on rules and needs a Web interchange format. Rules can be also used for declarative specification of Web services. In response to such practical demands from the world of the Web, the Rule Markup Initiative has taken steps towards defining RuleML, a shared Rule Markup Language [RuleML, 2005]. RuleML enables the encoding of various kinds of rules in XML for deduction, rewriting, and further inferential–transformational tasks.
Rule languages also differ in terms of to what extent they control rule ordering during the inference process. Further classifications of rule languages are possible. , when the rule base is large), as there is no ordering of the rules; x inferences cannot be limited to those dealing only with the objects of interest. More recent rule languages combine rules with frame-based features that provide object orientation, better structuring of knowledge through generalization/specialization and concept hierarchies, and natural inference capabilities such as classification and inheritance.
Model Driven Architecture and Ontology Development by Dragan Gaševic, Dragan Djuric, Vladan Devedžic, Bran V. Selic