Summary
Bottleneck for semantic web services is lack of semantically annotated information. We deal with linguistic information extraction from Czech texts from the Web for semantic annotation. The method described in the paper exploits existing linguistic tools created originally for a syntactically annotated corpus, Prague Dependency Treebank (PDT 2.0). We propose a system which captures text of web-pages, annotates it linguistically by PDT tools, extracts data and stores the data in an ontology. We focus on the third phase – data extraction – and present methods for learning queries over linguistically annotated data. Our experiments in the domain of reports of traffic accidents enable e.g. summarization of the number of injured people. This serves as a proof of concept of our solution. More experiments, for different queries and different domain are planned in the future. This will improve third party semantic annotation of web resources.
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Dědek, J., Vojtáš, P. (2008). Linguistic Extraction for Semantic Annotation. In: Badica, C., Mangioni, G., Carchiolo, V., Burdescu, D.D. (eds) Intelligent Distributed Computing, Systems and Applications. Studies in Computational Intelligence, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85257-5_9
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DOI: https://doi.org/10.1007/978-3-540-85257-5_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85256-8
Online ISBN: 978-3-540-85257-5
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