ODMF framework

The Ontology-based Data Matching Framework (ODMF) tool set is used to

1. demonstrate the usage of domain ontologies
2. illustrate how to apply ontology-based data matching in the field of human resource management, and
3. test different ontology-based data matching algorithms and strategies.

The ODMF contains the following components: (1) application ontology, (2) domain ontology, (3) matching module, (4) interpreter module, and (5) comparison module. 

1. Application ontology

The application ontology contains the ontological constraints that map information in the application database to the domain ontology. The application database contains the organization’s specific information that will be used for competency management.

2. Domain ontology

The domain ontology contains the concepts, concept properties, and concept relations relevant for the domain of competency management.

3. Matching module

The matching module provides an interface for the matching of two data sets. Different matching implementations (e.g. string, lexical, and graph) will be included in this module. The interface allows choosing between the different implementations.

4. Interpreter module

The interpreter module makes use of the application ontology (1), the domain ontology (2), and the matching module (3) to interpret application data.

 The ODMF tool set contains tools as below.

• ODMF Multilingual WordNet Editor (De Baer et al., 2006), which is used to manage the knowledge base of the ODMF. In particular, we use it for managing the upper common ontology and terminology. It is not restricted to HRM domain. It currently contains over 120,000 concepts.
• ODMF Competence Ontology Client Application (COCA, De Baer et al., 2008), which is also used to manage the knowledge base of the ODMF. In particular, it allows different organizations to manage the lower common ontology in the HRM domain. It is the implementation of three methodologies. They are DOGMA methodology (Meersman, 2001; Jarrar and Meersman, 2002; Spyns et al., 2008), DOGMA-MESS methodology (de moor et al., 2006) and PAD-ON methodology (Tang et al., 2009').
• ODMatcher (Ontology-based Data Matching Tool) for Prolix, which is a tool to evaluate different matching strategies and algorithms in the ODMF within the scope of Prolix project. The end users of ODMatcher are knowledge engineers, e.g. ontology engineers.

References:

1. De Baer, P., Kerremans, K., and Temmerman, R. (2008): Constructing Ontology-underpinned Terminological Resources, A Categorization Framework API, Proceedings of the 8th International Conference on Terminology and Knowledge Engineering, Copenhagen
2. De Baer, P., Kerremans, K., and Temmerman, R. (2006): Facilitating Ontology (Re)use by Means of a Categorization Framework. In: Meersman, R., Tari, Z. (eds.) On the Move to Meaningful Internet Systems 2006. Proceedings of the AWeSOMe workshop, pp. 126-135.
3. De Moor, A., De Leenheer, P., and Meersman (2006), DOGMA-MESS: A Meaning Evolution Support System for Interorganizational Ontology Engineering, in proc. Of 14th International Conference on Conceptual Structures (ICCS 2006), Volume 4068, Aalborg, Denmark, p.189-203
4. Jarrar, M., Meersman, R. (2002): Formal Ontology Engineering in the DOGMA Approach. In: On the Move to Meaningful Internet Systems: CoopIS, DOA, and ODBASE, LNCS, Springer Verlag, pp. 1238-1254.
5. Meersman, R. (2001): Ontologies and Databases: More than a Fleeting Resemblance, in Proceedings of OES/SEO 2001 Rome Workshop, In, d’Atri, A. & Missikoff, M.,(eds.), Luiss Publications
6. Spyns, P., Tang, Y. & Meersman, R. (2008), An ontology engineering methodology for DOGMA, Journal of Applied Ontology, Volume 3, Issue 1-2, p.13-39
7. Tang, Y., De Baer, P., Zhao, G., Meersman, R., and Pudney, K. (2009’): Towards a Pattern-Driven Topical Ontology Modeling Methodology in Elderly Care Homes, international OntoContent’09 workshop, On the Move to Meaningful Internet Systems: OTM 2009 Workshops, Springer, Heidelberg, LNCS 5872, ISBN 978-3-642-05289-7, pp. 514—523, Vilamoura, Portugal, Nov. 1 ~ Nov. 6, 2009