titoli, abstracts, parole chiave >>>
Natural language processing and big data: an ontology-based approach for cross-lingual information retrieval

Monti, Johanna and Monteleone, Mario and Di Buono, Maria Pia and Marano, Federica (2013) Natural language processing and big data: an ontology-based approach for cross-lingual information retrieval. In: SocialCom 2013: International Conference on Social Computing, 8-14 September 2013, Washington, USA. [S.l.], IEEE. p. 725-731. ISBN 978-0-7695-5137-1. Conference or Workshop Item.

Full text not available from this repository.

DOI: 10.1109/SocialCom.2013.108

Alternative URLs:


Extracting relevant information in multilingual context from massive amounts of unstructured, structured and semi-structured data is a challenging task. Various theories have been developed and applied to ease the access to multicultural and multilingual resources. This papers describes a methodology for the development of an ontology-based Cross-Language Information Retrieval (CLIR) application and shows how it is possible to achieve the translation of Natural Language (NL) queries in any language by means of a knowledge-driven approach which allows to semi-automatically map natural language to formal language, simplifying and improving in this way the human-computer interaction and communication. The outlined research activities are based on Lexicon-Grammar (LG), a method devised for natural language formalization, automatic textual analysis and parsing. Thanks to its main characteristics, LG is independent from factors which are critical for other approaches, i.e. interaction type (voice or keyboard-based), length of sentences and propositions, type of vocabulary used and restrictions due to users' idiolects. The feasibility of our knowledge-based methodological framework, which allows mapping both data and metadata, will be tested for CLIR by implementing a domain-specific early prototype system.

Item Type:Conference or Workshop Item (Lecture)
ID Code:9944
Uncontrolled Keywords:Cross-Language Information Retrieval (CLIR), lexicon-grammar, ontology
Subjects:Area 10 - Scienze dell'antichità, filologico-letterarie e storico-artistiche > L-LIN/02 Didattica delle lingue moderne
Divisions:001 Università di Sassari > 01-a Nuovi Dipartimenti dal 2012 > Scienze Umanistiche e Sociali
Deposited On:02 Jul 2014 13:03

I documenti depositati in UnissResearch sono protetti dalle leggi che regolano il diritto d'autore

Repository Staff Only: item control page