The experiment results show the effectiveness of learning for addressing the inconsistency issues during automated pattern-oriented architectural synthesis. Therefore, we want to introduce in the next section. In general, such models are not created as mere “one off” artefacts. On Using Conceptual Data Modeling for Ontology Engineering @article{Jarrar2003OnUC, title={On Using Conceptual Data Modeling for Ontology Engineering}, author={M. Jarrar and J. Demey and Robert Meersman}, journal={J. etc. of the IFIP WG2.6 Database Semantics Conf. Each theorist articulates a model of how to share space; this sharing is key to how each theorist imagines, Geographic database systems are large and complex systems characterized by a high degree of interactivity. Chapman and Hall. Published in TDAN.com April 2006 [This is the first of three articles discussing the new/old ideas of semantics and ontology and how they affect the way we analyze data.This article introduces the main concepts, and the second article will show an example of converting a data model to the web ontology … 48. About Data Models and Ontology Languages. Through the implementation of two distinct use cases, the article illustrates how ISCO components can jointly enrich service creation and consumption for various stakeholders in smart cities. of the Workshop on Basic, Ontological Issues in Knowledge Sharing (IJCAI95, methods and applications, in The Knowledge Engineering, [20] Verheyen G. & van Bekkum P., (1982), NIAM, aN, Information Analysis method, in Olle T., Sol H. & Verrijn-, Stuart A. on Cooperative, Information Systems (CoopIS 02), LNCS 2519, Springer, Erdmann M. & Klein M., (2000), OIL in a nutshell, in, and Management, Proc. The reasoning rules enable mapping between formalized elements of the ontology and ER model, and the extraction of synonyms. North-Holland, pp. (ii) Ontology-based models annotating the geometric facet with further contextual information. messages, i.e. Without such a bookstore ontology, two, applications would even not be able to communicate (no, sharing of vocabulary and domain rules by two, applications). The motto of Semantic Web is “Things, not strings”. The headline is an homage to Topbraid Maestro, my favorite ontology development platform. & … (http://sites.birzeit.edu/hicure/). Some recent issues in these areas and the methodology employed are also discussed. approach takes agreed semantical knowledge out of an IT, application that makes use of an external ontology. – Promote and support the creation of TPs in MED countries, including the production of both organizational documents (governance, structure, etc.) phonétiques, Berne: Francke, pp. Ontology engineering offers a direction towards solving the inter-operability problems brought about by semantic obstacles, i.e. In OWL 2, object properties might possess different characteristics, while data properties mightn't: Also, data properties can not be parts of property chains. We report on research within STARLab's DOGMA Project that indicates how such methods may or must be adapted to be usable in the context of ontologies, and how they may then help to define ontology updates, the role of domain constraints, and future tools that assist in e.g. way only in application prog that use the datamodel. Data Modelling versus Ontology Engineering - Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. of the Workshop on Basic Ontological Issues in Knowledge Sharing (IJCAI95 workshop), also available as AIAI-TR-183 {ftp.aiai.ed.ac.uk/pub/documents/1995/95-ont-ijcai95-ont- method.ps.gz}]], Ushold M. & Gruninger M., (1996), Ontologies: Principles, methods and applications, in The Knowledge Engineering Review, 11 (2): 93-- 155. (ed. 4. As a result, (re-)usability, shareability, interoperability and reliability of the, knowledge will be enhanced. Ontology-based information retrieval. Data Semantics}, year={2003}, volume={1}, pages={185-207} } Both categories of views feature a high degree of flexibility; in fact, users are allowed to specialize the contents of a view according to their specific needs. A semantic approach to domain model specifications building is principal for it. Unlike data models, the fundamental asset of ontologies is their relative independence of particular applications, i.e. ]], Guarino N. & Giaretta P., (1995), Ontologies and Knowledge Bases: Towards a Terminological Clarification, in Towards Very Large Knowledge Bases: Knowledge Building and Knowledge Sharing, N. Mars (ed. E.g. Taking into account this high level objective, it was considered that the organisational model chosen by the project should maximize the synergies with the already existing European model to obtain a broader and more efficient impact of the project results. In recent years, there has been an uptake of expressing ontologies using ontology languages such as the Web Ontology Language (OWL). consist of domain rules that specify – or more precisely, Ontologies and data models, both being partial account, (albeit in a varying degree) of conceptualisations [5], must, needs to model. Formal ontologies can be seen as mathematical objects that form the range of a classical "Tarskian" semantics interpretation mapping of first-order language constructs that could represent situations, functions or procedures related to a given domain. an ontology consists of relatively generic, knowledge that can be reused by different kinds of, applications/tasks. Domain rules operate on the constructed domain, model, and therefore are also under the spell of the, “intended use bias”. Unlike data models, the fundament, ontologies is their relative independence of particular, applications, i.e. (eds. In particular the ORM (ObjectRole Modeling) method, or rather its precursor NIAM, with its rigorous distinction and handling of so-called lexical and non-lexical knowledge proved to be an interesting candidate to help identify and clarify a number of these issues, and a number of examples are given. Proposed steps: 1. and Ph.D. works under the aegis of WIDiCoReL. In this paper, we focus on three major issues concerning any interaction level to be built on. See. ), Proc. Table 2: some commitments for the BibliOntology Base, as a combination refers to at most one Book, Fundamentals of Database Systems, Information Modeling and Relational..., ,