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Semantic information extraction on domain specific data sheets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8465 LNCS 864-873
DOI: 10.1007/978-3-319-07443-6_60
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Abstract

The development of information retrieval and extraction systems is still a challenging task. The occurrence of natural language limits the application of existing approaches. Therefore the approach of a new framework which combines natural language processing and semantic web technology is discussed. This paper focuses on ontology based knowledge modelling for semantic data extraction. Therefore, semantic verification techniques which can be used to improve the extraction are introduced. © 2014 Springer International Publishing.

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Barkschat, K. (2014). Semantic information extraction on domain specific data sheets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8465 LNCS, pp. 864–873). Springer Verlag. https://doi.org/10.1007/978-3-319-07443-6_60

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