Abstract
In this paper, we present an approach to ontology querying for the purpose of supporting the semantic annotation process. We present and evaluate two algorithms, (i) a baseline algorithm and (ii) a graph-based algorithm based on the bag-of-words text representation and PageRank. We evaluate the two approaches on a set of semantically annotated geospatial Web services. We show that the graph-based algorithm significantly outperforms the baseline algorithm. The devised solution is implemented in Visual OntoBridge, a tool that provides an interface and functionality for supporting the user in the semantic annotation task. The improvement over the baseline is also reflected in practice.
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Grčar, M., Podpečan, V., Sluban, B., Mozetič, I. (2012). Ontology Querying Support in Semantic Annotation Process. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_9
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DOI: https://doi.org/10.1007/978-3-642-32695-0_9
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