We are surrounded by ever growing volumes of unstructured and weakly-structured information, and for a human being, domain expert or not, it is nearly impossible to read, understand and categorize such information in a fair amount of time. Moreover, different user categories have different expectations: final users need easy-to-use tools and services for specific tasks, knowledge engineers require robust tools for knowledge acquisition, knowledge categorization and semantic resources development, while semantic applications developers demand for flexible frameworks for fast and easy, standardized development of complex applications. This work represents an experience report on the use of the CODA framework for rapid prototyping and deployment of knowledge acquisition systems for RDF. The system integrates independent NLP tools and custom libraries complying with UIMA standards. For our experiment a document set has been processed to populate the AGROVOC thesaurus with two new relationships.

Pazienza, M.t., Stellato, A., Tudorache, A., Turbati, A., Vagnoni, F. (2012). An Architecture for Data and Knowledge Acquisition for the Semantic Web: the AGROVOC Use Case. In Confederated International Workshops on On the Move to Meaningful Internet Systems, OTM 2012: OTM Academy, Industry Case Studies Program, EI2N 2012, INBAST 2012, META4eS 2012, OnToContent 2012, ORM 2012, SeDeS 2012, SINCOM 2012, and SOMOCO 2012 (pp. 426-433). Paris : Springer-Verlag [10.1007/978-3-642-33618-8_58].

An Architecture for Data and Knowledge Acquisition for the Semantic Web: the AGROVOC Use Case

PAZIENZA, MARIA TERESA;STELLATO, ARMANDO;
2012-09-13

Abstract

We are surrounded by ever growing volumes of unstructured and weakly-structured information, and for a human being, domain expert or not, it is nearly impossible to read, understand and categorize such information in a fair amount of time. Moreover, different user categories have different expectations: final users need easy-to-use tools and services for specific tasks, knowledge engineers require robust tools for knowledge acquisition, knowledge categorization and semantic resources development, while semantic applications developers demand for flexible frameworks for fast and easy, standardized development of complex applications. This work represents an experience report on the use of the CODA framework for rapid prototyping and deployment of knowledge acquisition systems for RDF. The system integrates independent NLP tools and custom libraries complying with UIMA standards. For our experiment a document set has been processed to populate the AGROVOC thesaurus with two new relationships.
13-set-2012
Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Settore INF/01 - INFORMATICA
English
Rilevanza internazionale
Capitolo o saggio
http://link.springer.com/chapter/10.1007/978-3-642-33618-8_58
Pazienza, M.t., Stellato, A., Tudorache, A., Turbati, A., Vagnoni, F. (2012). An Architecture for Data and Knowledge Acquisition for the Semantic Web: the AGROVOC Use Case. In Confederated International Workshops on On the Move to Meaningful Internet Systems, OTM 2012: OTM Academy, Industry Case Studies Program, EI2N 2012, INBAST 2012, META4eS 2012, OnToContent 2012, ORM 2012, SeDeS 2012, SINCOM 2012, and SOMOCO 2012 (pp. 426-433). Paris : Springer-Verlag [10.1007/978-3-642-33618-8_58].
Pazienza, Mt; Stellato, A; Tudorache, A; Turbati, A; Vagnoni, F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/102180
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