- Title
- A semantic method to information extraction for decision support systems
- Creator
- Ofoghi, Bahadorreza; Yearwood, John; Ghosh, Ranadhir
- Date
- 2006
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/33612
- Identifier
- vital:4866
- Identifier
- http://www.scopus.com/inward/record.url?eid=2-s2.0-84870156858&partnerID=40&md5=34c5abd8ce342daca803a5c05a8b28a2
- Abstract
- In this paper, we describe a novel schema for a more semantic text mining process which results in more comprehensive decision making activity by decision support systems via providing more effective and accurate textual information. The utility of two semantic lexical resources; Frame Net and Word Net, in extracting required text snippets from unstructured free texts yields a better and more accurate information extraction process to deliver more precise information either to a DSS or to a decision maker. We explain how the usage of these lexical resources could elevate a focused text mining process which could be applied to an information provider system in a decision support paradigm. The preliminary results obtained after a starter experiment show that the hybrid information extraction schema performs well on some semantic failure situations.
- Publisher
- Acapulco Association for Information Systems
- Rights
- Copyright Association for Information Systems
- Rights
- This metadata is freely available under a CCO license
- Subject
- FrameNet; Information extraction; Lexical resources; Semantic text mining; WordNet; Information Extraction; Text mining; Wordnet; Artificial intelligence; Decision support systems; Information retrieval; Information systems; Semantics; Data mining
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