A system for exposing linguistic linked open data

Authors:
Emanuele Di Buccio;Giorgio Maria Di Nunzio;Gianmaria Silvello
Affiliations:
Department of Information Engineering, University of Padua, Italy;Department of Information Engineering, University of Padua, Italy;Department of Information Engineering, University of Padua, Italy
Venue:
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Year:
2012

Citing 5
Cited 2

Principled design of the modern Web architecture

ACM Transactions on Internet Technology (TOIT)
Triplify: light-weight linked data publication from relational databases

Proceedings of the 18th international conference on World wide web
ISOcat: remodelling metadata for language resources

International Journal of Metadata, Semantics and Ontologies
Mapping ER Schemas to OWL Ontologies

ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Linked Data

Linked Data

A geolinguistic web application based on linked open data

Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A linked open data approach for geolinguistics applications

International Journal of Metadata, Semantics and Ontologies

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we introduce the Atlante Sintattico d'Italia, Syntactic Atlas of Italy (ASIt) enterprise which is a linguistic project aiming to account for minimally different variants within a sample of closely related languages. One of the main goals of ASIt is to share and make linguistic data re-usable. In order to create a universally available resource and be compliant with other relevant linguistic projects, we define a Resource Description Framework (RDF) model for the ASIt linguistic data thus providing an instrument to expose these data as Linked Open Data (LOD). By exploiting RDF native capabilities we overcome the ASIt methodological and technical peculiarities and enable different linguistic projects to read, manipulate and re-use linguistic data.