Nowadays, capturing the knowledge in ontological structures is one of the primary focuses of the semantic web research. To exploit the knowledge from the vast quantity of existing unstructured texts available in natural languages in ontologies, tools for automatic semantic annotation (ASA) are heavily needed. In this paper, we present the ASA tool Ontea and empowering of the method by Grid technology for performance increase, which help us in delivering formalized semantic data in shorter time. We have adjusted Ontea annotation algorithm to be executable in the distributed grid environment. We also give performance evaluation of Ontea algorithm and experimental results from cluster and grid implementation. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Laclavík, M., Ciglan, M., Šeleng, M., & Hluchý, L. (2008). Empowering automatic semantic Annotation in grid. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4967 LNCS, pp. 302–311). https://doi.org/10.1007/978-3-540-68111-3_32
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