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OntoMove: A Knowledge Based Framework for Semantic Requirement Profiling and Resource Acquisition
Data Engineering and Knowledge Management Group, Department of Computer Science, La Trobe University, Melbourne, Australia. (AASS)ORCID iD: 0000-0002-6290-5492
Data Engineering and Knowledge Management Group, Department of Computer Science, La Trobe University, Melbourne, Australia.
Data Engineering and Knowledge Management Group, Department of Computer Science, La Trobe University, Melbourne, Australia.
Data Engineering and Knowledge Management Group, Department of Computer Science, La Trobe University, Melbourne, Australia.
2007 (English)In: Proceedings of the 2007 Australian Software Engineering Conference (ASWEC'07), IEEE Computer Society , 2007, p. 137-146Conference paper, Published paper (Refereed)
Abstract [en]

The use of formal knowledge representation structures, or ontologies, has found immense applicability for the interoperability of software systems, e.g., alignment of software and business process models. Toward the management of such knowledge structures, an important foundational problem is that of ontology reuse - it is uncommon for new applications or for different components within one application to use an already available ontology in its entirety. Depending on component specific requirements, typical re-usages are restricted to refined versions of an existing ontology, with the refinement taking the form of a contraction of the knowledge contained therein. Furthermore, when the ontology is used to ascribe meaning to independently existing 'resources' (e.g., documents collections, source code, software manuals, process template repositories) by way of meta-data, there exists a direct mapping between different views/re-uses of an ontology and their respective semantic scopes within an annotated resource repository thereby leading to the concept of view/reuse dependent resource retrieval. We implement a framework that supports ontology reuse by way of a requirement driven sub-ontology extraction methodology. Additionally, based on this concept of a sub-ontology, we implement the idea of a user/component 'requirement profile' consisting of semantic descriptions of the user's interest within a 'resource repository' that has been annotated with semantic types from the ontology under consideration. A generic framework that implements these ideas and its application in the domains of Medical Information Retrieval systems and Business Process Management Systems (BPMS) is presented.

Place, publisher, year, edition, pages
IEEE Computer Society , 2007. p. 137-146
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-64273DOI: 10.1109/ASWEC.2007.36ISI: 000246443000014Scopus ID: 2-s2.0-34548140063ISBN: 9780769527789 (print)ISBN: 0769527787 (print)OAI: oai:DiVA.org:oru-64273DiVA, id: diva2:1174447
Conference
18th Australian Software Engineering Conference (ASWEC 2007), Melbourne, Australia, April 10-13, 2007
Note

Funding Agency:

Victorian Partnership for Advanced Computing c(VPAC)

Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-01-22Bibliographically approved

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Bhatt, Mehul

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