Abstract
The electronic lexical databases WordNets, have become essential for many computer applications, especially in linguistic research. Free French WordNet is an XML lexical database for French language based on Princeton WordNet for the English language and other multilingual resources. So far, research on Free French WordNet has focused on the construction and relevance of lexico-semantic information. However, no effort is made to facilitate the exploitation of this database under the Java language. In this context, this paper proposes our approach for the development of a new Java API based on Java Architecture for XML Binding. This Java API will make it easier for developers to exploit and use Free French WordNet to create applications for natural language processing. In order to assess the usefulness of our API, The API performance has been evaluated in the context of a Browser that we developed to extract semantic and lexical relations connecting synsets contained in this database, such as: the tree of hypernymy, the tree of hyponymy, synonyms, etc. The results showed that our API perfectly meets the needs of programmatically exploitation, exploration and consultation of this database in a Java application.
Highlights
The modern era is characterized by the importance of information to such an extent that we call it the information age
We propose through this paper a new approach for the development of JWOLF a Java API for access and exploitation of WOLF in order to facilitate the use of this database in programs developed with the Java language
The Free French WordNet (WOLF) is in XML (Extensible Markup Language) format used by the DebVisDic in the BalkaNet project
Summary
The modern era is characterized by the importance of information to such an extent that we call it the information age. The utility of this resource is confirmed in several areas, in this case the natural language processing, the extraction of information, the automatic construction of ontologies, the automatic translation, etc This base is embedded in the process of building the lexical databases of other languages by acting as a reference base. This article is part of our research work for the implementation of the systemic model that we have proposed in order to produce decision-making indicators from a corpus based on advances made in the of Semantic Web and Business Intelligence fields [1] It is part of the "Construction of Ontology" phase of the proposed model in [1]
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