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ONTOCOM: a reliable cost estimation method for ontology development projects

ONTOCOM: a reliable cost estimation method for ontology development projects
ONTOCOM: a reliable cost estimation method for ontology development projects
We present ONTOCOM, a method to estimate the costs of ontology engineering, as well as project management tools that support the application of the method. ONTOCOM is part of a broader framework we have developed over the five years, whose aim is to assess the business value of semantic technologies through a suite of methods, estimation models and project management tools, by which the costs and benefits of the corresponding projects are defined, measured and analyzed. The framework supports the engineering of different types of knowledge structures, including ontologies, taxonomies and folksonomies, and of information management systems leveraging such knowledge structures. It also includes benefit analysis models whose results can be used in conjunction with cost-related information in order to identify potential cost savings and to assess the feasibility of specific engineering strategies, in particular ontology reuse. The application of the methods proposed in the framework is supported by project management tools which can be used to customize these methods to a given project environment, to evaluate and validate the underlying estimations using empirical data, and to take into account their results for planning and controlling purposes.
ontology engineering, ontology economics, cost estimation, planning and controlling
1570-8268
1-16
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Bürger, Tobias
8a0f9c03-8ad7-4675-9ef5-67bf33982892
Hangl, Simon
5170673b-ba8d-4cdc-b99e-1aa5af533e48
Wörgl, Stephan
5cdb77ee-1309-491b-bc4d-b0faf0cfc8b0
Popov, Igor
517af6d0-e80b-45fd-89ef-9da71a09bd6f
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Bürger, Tobias
8a0f9c03-8ad7-4675-9ef5-67bf33982892
Hangl, Simon
5170673b-ba8d-4cdc-b99e-1aa5af533e48
Wörgl, Stephan
5cdb77ee-1309-491b-bc4d-b0faf0cfc8b0
Popov, Igor
517af6d0-e80b-45fd-89ef-9da71a09bd6f

Simperl, Elena, Bürger, Tobias, Hangl, Simon, Wörgl, Stephan and Popov, Igor (2012) ONTOCOM: a reliable cost estimation method for ontology development projects [in special issue: The Semantic Web Challenge 2011] Web Semantics, 16, pp. 1-16.

Record type: Article

Abstract

We present ONTOCOM, a method to estimate the costs of ontology engineering, as well as project management tools that support the application of the method. ONTOCOM is part of a broader framework we have developed over the five years, whose aim is to assess the business value of semantic technologies through a suite of methods, estimation models and project management tools, by which the costs and benefits of the corresponding projects are defined, measured and analyzed. The framework supports the engineering of different types of knowledge structures, including ontologies, taxonomies and folksonomies, and of information management systems leveraging such knowledge structures. It also includes benefit analysis models whose results can be used in conjunction with cost-related information in order to identify potential cost savings and to assess the feasibility of specific engineering strategies, in particular ontology reuse. The application of the methods proposed in the framework is supported by project management tools which can be used to customize these methods to a given project environment, to evaluate and validate the underlying estimations using empirical data, and to take into account their results for planning and controlling purposes.

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More information

Published date: November 2012
Keywords: ontology engineering, ontology economics, cost estimation, planning and controlling
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 351593
URI: http://eprints.soton.ac.uk/id/eprint/351593
ISSN: 1570-8268
PURE UUID: 13e35c8c-5c69-4243-9d0d-63021db0d362
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X

Catalogue record

Date deposited: 23 Apr 2013 13:25
Last modified: 10 Nov 2017 19:10

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Contributors

Author: Elena Simperl ORCID iD
Author: Tobias Bürger
Author: Simon Hangl
Author: Stephan Wörgl
Author: Igor Popov

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