Abstract
Extraction ontologies represent a novel paradigm in web information extraction (as one of ‘deductive’ species of web mining) allowing to swiftly proceed from initial domain modelling to running a functional prototype, without the necessity of collecting and labelling large amounts of training examples. Bottlenecks in this approach are however the tedium of developing an extraction ontology adequately covering the semantic scope of web data to be processed and the difficulty of combining the ontology-based approach with inductive or wrapper-based approaches. We report on an ongoing project aiming at developing a web information extraction tool based on richly-structured extraction ontologies and with additional possibility of (1) semi-automatically constructing these from third-party domain ontologies, (2) absorbing the results of inductive learning for subtasks where pre-labelled data abound, and (3) actively exploiting formatting regularities in the wrapper style.
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Labský, M., Svátek, V., Nekvasil, M., Rak, D. (2009). The Ex Project: Web Information Extraction Using Extraction Ontologies. In: Berendt, B., et al. Knowledge Discovery Enhanced with Semantic and Social Information. Studies in Computational Intelligence, vol 220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01891-6_5
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DOI: https://doi.org/10.1007/978-3-642-01891-6_5
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