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Mezghanni et al., 2014 - Google Patents

Learning of legal ontology supporting the user queries satisfaction

Mezghanni et al., 2014

Document ID
10135810696560746937
Author
Mezghanni I
Gargouri F
Publication year
Publication venue
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

External Links

Snippet

In recent years, the development of legal ontologies has increased significantly with the diversity of their applications known as complicated due to the complexity of their domain. In the preliminary part of this paper, we introduce the major steps in the learning process, then …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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    • G06F17/30669—Translation of the query language, e.g. Chinese to English
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