Abstract
Semantic descriptions of knowledge acquisition (KA) tools and resources enable machine reasoning about KA systems and can be used to automate the discovery and composition of KA services, thereby increasing interoperability among systems and reducing system design and maintenance costs. Whilst there are a few general-purpose ontologies available that could be combined for describing knowledge acquisition, albeit at an inadequate abstraction level, there is as yet no KA ontology based on Semantic Web technologies available. In this paper, we present OAK, a well-founded, modular, extensible and multimedia-aware ontology of knowledge acquisition which extends existing foundational and core Semantic Web ontologies. We start by using a KA tool development scenario to illustrate the complexity of the problem, and identify a number of requirements for OAK. After we present the ontology in detail, we evaluate it with respect to the identified requirements.
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Arndt, R., Troncy, R., Staab, S., Hardman, L., Vacura, M.: COMM: Designing a Well-Founded Multimedia Ontology for the Web. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 30–43. Springer, Heidelberg (2007)
Bontcheva, K., Tablan, V., Maynard, D., Cunningham, H.: Evolving GATE to Meet New Challenges in Language Engineering. Natural Language Engineering 10(3/4), 349–373 (2004)
Caragea, D., Bao, J., Honavar, V.: A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources. In: AAAI 2006 Fall Symposium on Semantic Web for Collaborative Knowledge Acquisition (2006)
Ferrucci, D., Lally, A.: UIMA: an architectural approach to unstructured information processing in the corporate research environment. Natural Language Engineering 10(3/4), 327–348 (2004)
Gangemi, A., Borgo, S., Catenacci, C., Lehmann, J.: Task Taxonomies for Knowledge Content. Metokis Deliverable D 2007 (September 2004)
Götz, T., Suhre, O.: Design and implementation of the UIMA Common Analysis System. IBM Systems Journal 43(3), 476–489 (2004)
Happel, H.-J., Seedorf, S.: Applications of Ontologies in Software Engineering. In: Second International Workshop on Semantic Web Enabled Software Engineering (SWESE 2006), held at the Fifth International Semantic Web Conference (November 2006)
Martin, D., Burstein, M., Hobbs, J., Lassila, O., McDermott, D., McIlraith, S., Narayanan, S., Paolucci, M., Parsia, B., Payne, T., Sirin, E., Srinivasan, N., Sycara, K.: OWL-S: Semantic Markup for Web Services (November 2004), http://www.w3.org/Submission/OWL-S/
Maynard, D.: Benchmarking ontology-based annotation tools for the Semantic Web. In: AHM 2005 Workshop on Text Mining, e-Research and Grid-enabled Language Technology (2005)
Maynard, D., Yankova, M., Kourakis, A., Kokossis, A.: Ontology-based information extraction for market monitoring and technology watch. In: ESWC 2005 Workshop on End User Aspects of the Semantic Web (May 2005)
Oberle, D., Lamparter, S., Grimm, S., Vrandecic, D., Staab, S., Gangemi, A.: Towards Ontologies for Formalizing Modularization and Communication in Large Software Systems. Journal of Applied Ontology 1(2), 163–202 (2006)
Popov, B., Kiryakov, A., Ognyanoff, D., Manov, D., Kirilov, A.: KIM - A Semantic Platform for Information Extraction and Retrieval. Journal of Natural Language Engineering 10(3/4), 375–392 (2004)
Puerta, A.R., Neches, R., Eriksson, H., Szekely, P., Luo, P., Musen, M.A.: Toward Ontology-Based Frameworks for Knowledge-Acquisition Tools. In: Eighth Knowledge Acquisition Workshop for Knowledge-Based Systems (1994)
Yildiz, B., Miksch, S.: Motivating Ontology-Driven Information Extraction. In: International Conference on Semantic Web and Digital Libraries (2007)
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Iria, J. (2009). A Core Ontology of Knowledge Acquisition. In: Aroyo, L., et al. The Semantic Web: Research and Applications. ESWC 2009. Lecture Notes in Computer Science, vol 5554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02121-3_20
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DOI: https://doi.org/10.1007/978-3-642-02121-3_20
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