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| Content Provider | Springer Nature Link |
|---|---|
| Author | Saravanan, M. Ravindran, B. Raman, S. |
| Copyright Year | 2009 |
| Abstract | A variety of legal documents are increasingly being made available in electronic format. Automatic Information Search and Retrieval algorithms play a key role in enabling efficient access to such digitized documents. Although keyword-based search is the traditional method used for text retrieval, they perform poorly when literal term matching is done for query processing, due to synonymy and ambivalence of words. To overcome these drawbacks, an ontological framework to enhance the user’s query for retrieval of truly relevant legal judgments has been proposed in this paper. Ontologies ensure efficient retrieval by enabling inferences based on domain knowledge, which is gathered during the construction of the knowledge base. Empirical results demonstrate that ontology-based searches generate significantly better results than traditional search methods. |
| Starting Page | 101 |
| Ending Page | 124 |
| Page Count | 24 |
| File Format | |
| ISSN | 09248463 |
| Journal | Artificial Intelligence and Law |
| Volume Number | 17 |
| Issue Number | 2 |
| e-ISSN | 15728382 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2009-05-14 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Information retrieval Knowledge base Legal ontology Query enhancement Air and Space Law Computational Linguistics Philosophy of Law Legal Aspects of Computing Artificial Intelligence (incl. Robotics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Law |
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