Abstract
In order to generate semantic annotations for a collection of documents, one needs an annotation schema consisting of a semantic model (a.k.a. ontology) along with lists of linguistic indicators (keywords and patterns) for each concept in the ontology. The focus of this paper is the automatic generation of the linguistic indicators for a given semantic model and a corpus of documents. Our approach needs a small number of user-defined seeds and bootstraps itself by exploiting a novel clustering technique. The baseline for this work is the Cerno project [8] and the clustering algorithm LIMBO [2]. We also present results that compare the output of the clustering algorithm with linguistic indicators created manually for two case studies.
This work has been partially funded by the EU Commission through the SERENITY and WEE-NET projects and by Provincia Autonoma di Trento through the STAMPS project.
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Souza, V., Zeni, N., Kiyavitskaya, N., Andritsos, P., Mich, L., Mylopoulos, J. (2008). Automating the Generation of Semantic Annotation Tools Using a Clustering Technique. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_10
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DOI: https://doi.org/10.1007/978-3-540-69858-6_10
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