DocumentCode :
419661
Title :
OntoDoc: an ontology-based query system for digital libraries
Author :
Cinque, Luigi ; Malizia, Alessio ; Navigli, Roberto
Author_Institution :
Dept. Comput. Sci., La Sapienza Univ., Rome, Italy
Volume :
2
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
671
Abstract :
The decreasing cost and the increasing availability of new technologies is enabling people to create their own digital libraries. One of the main topic in personal digital libraries is allowing people to select interesting information among all the different digital formats available today (pdf, html, tiff, etc.). Moreover the increasing availability of these on-line libraries, as well as the advent of the so called semantic Web [T. Berners-Lee, 1999], is raising the demand for convening paper documents into digital, possibly semantically annotated, documents. These motivations drove us to design a new system which could enable the user to interact and query documents independently from the digital formats in which they are represented. In order to achieve this independence from the format we consider all the digital documents contained in a digital library as images. Our system tries to automatically detect the layout of the digital documents and recognize the geometric regions of interest. All the extracted information is then encoded with respect to a reference ontology, so that the user can query his digital library by typing free text or browsing the ontology.
Keywords :
digital libraries; ontologies (artificial intelligence); query processing; OntoDoc; digital documents; digital libraries; ontology-based query system; Computer science; Context awareness; Costs; Data mining; HTML; Image analysis; Ontologies; Performance analysis; Semantic Web; Software libraries;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334348
Filename :
1334348
Link To Document :
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