Semantic information extraction on domain specific data sheets
- 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.
| Author: | Kai Barkschat |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-319-07443-6_60 |
| Parent Title (English): | The Semantic Web: Trends and Challenges, Proceedings |
| Publisher: | Springer |
| Place of publication: | Berlin , Heidelberg |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2014 |
| Publishing Institution: | Fachhochschule Aachen |
| First Page: | 864 |
| Last Page: | 873 |
| Note: | 11th International Conference, ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014 Lecture Notes in Computer Science ((LNISA,volume 8465)) |
| Link: | https://doi.org/10.1007/978-3-319-07443-6_60 |
| Zugriffsart: | weltweit |
| Institutes: | FH Aachen / Fachbereich Medizintechnik und Technomathematik |
| collections: | Verlag / Springer |
