An Approach of Generating Personalized Views from Normalized Electronic Dictionaries : A Practical Experiment on Arabic Language
44438Authors
nan
Abstract
Electronic dictionaries covering all natural language levels are very relevant for the hu- man use as well as for the automatic processing use, namely those constructed with respect to international standards. Such dictionaries are characterized by a complex structure and an important access time when using a querying system. However, the need of a user is generally limited to a part of such a dictionary according to his domain and ex- pertise level which corresponds to a specia- lized dictionary. Given the importance of managing a unified dictionary and consider- ing the personalized needs of users, we pro- pose an approach for generating personalized views starting from a normalized dictionary with respect to Lexical Markup Framework LMF-ISO 24613 norm. This approach pro- vides the re-use of already defined views for a community of users by managing their pro- files information and promoting the materia- lization of the generated views. It is com- posed of four main steps: (i) the projection of data categories controlled by a set of con- straints (related to the user‟s profiles), (ii) the selection of values with consistency check- ing, (iii) the automatic generation of the query‟s model and finally, (iv) the refinement of the view. The proposed approach was con- solidated by carrying out an experiment on an LMF normalized Arabic dictionary. 1
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Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 953–960, MIT, Massachusetts, USA, 9-11 October 2010. c⃝2010 Association for Computational Linguistics An approach for generating personalized views from normalized electronic dictionaries : A practical experiment on Arabic language Aida Khemakhem MIRACL Laboratory FSEGS, B.P. 1088, 3018 Sfax, Tunisia khemakhem.aida@ gmail.com Bilel Gargouri MIRACL Laboratory FSEGS, B.P. 1088, 3018 Sfax, Tunisia bilel.gargouri@ fsegs.rnu.tn Abdelmajid Ben Hamadou MIRACL Laboratory ISIMS, Cité Ons, 3021 Sfax, Tunisia abdelmajid.benhamadou @isimsf.rnu.tn Abstract Electronic dictionaries covering all natural language levels are very relevant for the hu- man use as well as for the automatic processing use, namely those constructed with respect to international standards. Such dictionaries are characterized by a complex structure and an important access time when using a querying system. However, the need of a user is generally limited to a part of such a dictionary according to his domain and ex- pertise level which corresponds to a specia- lized dictionary. Given the importance of managing a unified dictionary and consider- ing the personalized needs of users, we pro- pose an approach for generating personalized views starting from a normalized dictionary with respect to Lexical Markup Framework LMF-ISO 24613 norm. This approach pro- vides the re-use of already defined views for a community of users by managing their pro- files information and promoting the materia- lization of the generated views. It is com- posed of four main steps: (i) the projection of data categories controlled by a set of con- straints (related to the user‟s profiles), (ii) the selection of values with consistency check- ing, (iii) the automatic generation of the query‟s model and finally, (iv) the refinement of the view. The proposed approach was con- solidated by carrying out an experiment on an LMF normalized Arabic dictionary. 1 Introduction Electronic dictionaries are very useful in nowa- days society, with the globalization and the in- crease of world communication and exchanges. There are clearly identified needs of dictionaries for human use as well as for automatic processing use. Given the importance of having recourse to standards when constructing such lexical re- sources in order to promote the reuse and the fu- sion, the standardization committee ISO TC37/SC4 has recently validated the Lexical Markup Framework norm (LMF) project under the standard ISO 24 613 (Francopoulo and George 2008). LMF provides a common and shared repre- sentation of lexical objects that allows for the en- coding of rich linguistic information, including among others morphological, syntactic, and se- mantic aspects. The LMF proposal is distin- guished by the separate management of the hierar- chical data structure (meta-model) and elementary linguistic descriptors (data categories) which pro- motes to cover several languages. A normalized dictionary covers wide areas that include all lexical information of a given language and which are useful both for human use and for Natural Language Processing use in accordance with the kind of the user (linguist, lexicographer, developer, etc.), the level of the user (learner, expert, etc.) and the domain of the …
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Electronic dictionaries covering all natural language levels are very relevant for the human use as well as for the automatic processing use, namely those constructed with respect to international standards. Such dictionaries are characterized by a complex structure and an important access time when using a querying system. However, the need of a user is generally limited to a part of such a dictionary according to his domain and expertise level which corresponds to a specialized dictionary. Given the importance of managing a unified dictionary and considering the personalized needs of users, we propose an approach for generating personalized views starting from a normalized dictionary with respect to Lexical Markup Framework LMF-ISO 24613 norm. This approach provides the re-use of already defined views for a community of users by managing their profiles information and promoting the materialization of the generated views. It is composed of four main steps: (i) the projection of data categories controlled by a set of constraints (related to the user‟s profiles), (ii) the selection of values with consistency checking, (iii) the automatic generation of the query‟s model and finally, (iv) the refinement of the view. The proposed approach was consolidated by carrying out an experiment on an LMF normalized Arabic dictionary. 1
Publication Details
- Paper ID:
- 44438
- Year:
- 2010
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan