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Ontology Querying Support in Semantic Annotation Process

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7458)

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.

Keywords

  • Domain Ontology
  • User Query
  • Semantic Annotation
  • Baseline Algorithm
  • Open Geospatial Consortium

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32694-3

  • Online ISBN: 978-3-642-32695-0

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