Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Named Entity recognition without gazetteers
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Empirical evaluation of semi-automated XML annotation of text documents with the GoldenGATE editor
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Enabling decentralised management through federation
Computer Networks: The International Journal of Computer and Telecommunications Networking
A system for debugging missing is-a structure in networked ontologies
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Debugging is-a structure in networked taxonomies
Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences
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A key aspect of semantic interoperability is the semantic mapping process itself. Traditionally, semantic mapping processes conducted by knowledge engineers have been proposed to bridge this gap. However, knowledge engineers alone are unlikely to cope with the ever increasing amount of mapping work required, especially as mappings themselves begin to be specialised for different contexts. One solution is to develop new mapping processes that enable users to participate in the mapping process themselves. In this paper we present an evaluation study of our user-driven tagging approach to the semantic mapping process. In our approach, users actively participate in generating mappings by categorising automatically generated candidate matches presented in natural language over a long time period. In the evaluation study three groups of users generated mappings between their personal ontologies and a sports ontology describing sports news content from RSS feeds. The mapping process was embedded within the users' work environment as a Firefox browser extension. The study is discussed, focusing on whether the mapping process is unintrusive, engaging and simplified for the user. The evaluation results were promising and indicate that people with various levels of expertise could become active in the semantic mapping process.