Semantic Matching Using Ontology in Multilingual Environment

I., Makrant and M., Mansi Semantic Matching Using Ontology in Multilingual Environment., 2013 . In National Conference on Computing and Information Technology, mumbai , india. (Submitted) [Conference paper]

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English abstract

The tremendous increase in usage of data over the past few years and the ease of availability of things across the globe any time lead to the Advancement of multilingual database. Storage, retrieval and archiving of data for multi lingual system has been a challenge. Our research project “Semantic Matching using Ontology in Multilingual Environment” is an extension is to look into addressing multi-lingual data. The report focuses on providing design and implementation of multilingual system. These comprise of two main components being (i) Cross Lingual Information Retrieval, and (ii) Indian Language to Indian Language Machine Translation. Consider the context of large scale natural language processing applications in the areas of Cross Lingual IR and Machine Translation, wherein such a model for multilingual dictionary is established. When contrasted to traditional single lingual or bilingual dictionary, the model uses the core concept of Synonym Groupings (synsets) that is used as a way to connect different languages in a crisp and efficient manner.

Item type: Conference paper
Keywords: Multilingual database, Storage, Retrieval, Hierarchy, multilingual dictionary, Translation, Algorithm
Subjects: J. Technical services in libraries, archives, museum. > JE. Record keeping.
J. Technical services in libraries, archives, museum. > JG. Digitization.
L. Information technology and library technology > LK. Software methodologies and engineering.
L. Information technology and library technology > LM. Automatic text retrieval.
L. Information technology and library technology > LN. Data base management systems.
L. Information technology and library technology > LO. Object-oriented DBMS.
L. Information technology and library technology > LQ. Library automation systems.
Depositing user: mansi m m
Date deposited: 02 Nov 2019 09:22
Last modified: 02 Nov 2019 09:22
URI: http://hdl.handle.net/10760/39041

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