DocumentCode :
2000681
Title :
Using Linked Data for intelligent information retrieval
Author :
I-Ching Hsu ; Hsu-Yang Lin ; Lee Jang Yang ; Der-Chen Huang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Huwei, Taiwan
fYear :
2012
fDate :
20-24 Nov. 2012
Firstpage :
2172
Lastpage :
2177
Abstract :
The software project of a large-scale information system usually contains a large number and different types of project documents. The key factor for the success of software project is how to efficiently manage project documents. Traditional software project management only focuses on XML-based metadata rather than semantic interlinking to facilitate document retrieval and publication. The main problem XML-based metadata is that lays stress on syntax and format for information interoperability rather than semantic and knowledge for intelligent applications. The Linked Data uses RDF data model that provide a solution to this problem. This study addresses these issues developing a Project Document Ontology (PDO) which is based on RDF Schema and combined with a set of well-known vocabularies, including FOAF, DC, and DOAP, to annotate project documents in Linked Data format. To illustrate the PDO applications, this study demonstrate project documents can be annotated from heterogeneous and distributed project resources, including design document, analysis document, plan document and work log.
Keywords :
document handling; information retrieval; information systems; meta data; DC; DOAP; FOAF; PDO applications; RDF Schema; RDF data model; XML- based metadata; analysis document; design document; distributed project resources; format; heterogeneous project resources; information interoperability; intelligent information retrieval; large-scale information system; linked data format; plan document; project document management; project document ontology; software project management; syntax; work log; Linked Data; RDF; Semantic Web; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
Type :
conf
DOI :
10.1109/SCIS-ISIS.2012.6504998
Filename :
6504998
Link To Document :
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