Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/iswc2007+aswc2007/tracks/in-use/papers/837> ?p ?o. }
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- 837 creator adam-funk.
- 837 creator diana-maynard.
- 837 creator horacio-saggion.
- 837 creator kalina-bontcheva.
- 837 type InProceedings.
- 837 label "Ontology-based Information Extraction for Business Intelligence".
- 837 sameAs 837.
- 837 abstract "Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of bulding a complete end-to-end solution.".
- 837 hasAuthorList authorList.
- 837 hasTopic Application_software.
- 837 hasTopic Finance.
- 837 hasTopic Ontology_%28computer_science%29.
- 837 hasTopic Semantic_Web.
- 837 hasTopic Tool.
- 837 isPartOf proceedings.
- 837 title "Ontology-based Information Extraction for Business Intelligence".