David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Artificial Intelligence and Law 17 (2):101-124 (2009)
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.
|Keywords||Information retrieval Knowledge base Legal ontology Query enhancement|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Erich Schweighofer & Doris Liebwald (2007). Advanced Lexical Ontologies and Hybrid Knowledge Based Systems: First Steps to a Dynamic Legal Electronic Commentary. [REVIEW] Artificial Intelligence and Law 15 (2):103-115.
José Saias & Paulo Quaresma (2004). A Methodology to Create Legal Ontologies in a Logic Programming Based Web Information Retrieval System. Artificial Intelligence and Law 12 (4):397-417.
Wim Peters, Maria-Teresa Sagri & Daniela Tiscornia (2007). The Structuring of Legal Knowledge in Lois. Artificial Intelligence and Law 15 (2):117-135.
Howard Turtle (1995). Text Retrieval in the Legal World. Artificial Intelligence and Law 3 (1-2):5-54.
Laurens Mommers, Wim Voermans, Wouter Koelewijn & Hugo Kielman (2009). Understanding the Law: Improving Legal Knowledge Dissemination by Translating the Contents of Formal Sources of Law. [REVIEW] Artificial Intelligence and Law 17 (1):51-78.
Edwina L. Rissland, David B. Skalak & M. Timur Friedman (1996). BankXX: Supporting Legal Arguments Through Heuristic Retrieval. [REVIEW] Artificial Intelligence and Law 4 (1):1-71.
Adel Saadoun, Jean-Louis Ermine, Claude Belair & Jean-Mark Pouyot (1997). A Knowledge Engineering Framework for Intelligent Retrieval of Legal Case Studies. Artificial Intelligence and Law 5 (3):179-205.
Gian Piero Zarri (2007). Ontologies and Reasoning Techniques for (Legal) Intelligent Information Retrieval Systems. Artificial Intelligence and Law 15 (3):251-279.
Marie-Francine Moens (2001). Innovative Techniques for Legal Text Retrieval. Artificial Intelligence and Law 9 (1):29-57.
Added to index2009-05-18
Total downloads20 ( #101,248 of 1,693,213 )
Recent downloads (6 months)1 ( #209,787 of 1,693,213 )
How can I increase my downloads?