DocumentCode
1993628
Title
A folksonomy-ontology-based digital gazetteer service
Author
Peng, Xiaobo ; Chen, Rongguo ; Cheng, Changxiu ; Yan, Xun
Author_Institution
Inst. of Geographic Sci. & Natural Resources Res., Chinese Acad. of Sci., Beijing, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
6
Abstract
At present, many digital gazetteer systems manage names and types of places. However, information of names and types is just a part of geographical knowledge, and types are relative nonflexible. Meanwhile, as free-tagging classification is widely used in web 2.0 implementations, folksonomy has raised various issues regarding information retrieval, though some management problems emerge when the quantity of inorganized tags raise to be large. In this paper, we describe an approach that embeds folksonomy and ontology into Digital Gazetteer Service in order to give a smarter Digital Gazetteer Service (FODGS), and to enrich geographical information retrieval capabilities. To present relations between tags and avoid problems raised by inorganized free-tagging, we develop a new method to manager those tags - we write a set of modular ontologies. For the purpose of make queries over all the data above, we store the data in a triple-store, which offers SPARQL support. Finally, this paper also introduces an application implementation - a prototype system of FODGS was built with a XML-based interface.
Keywords
geographic information systems; information retrieval; ontologies (artificial intelligence); pattern classification; SPARQL support; XML-based interface; digital gazetteer service; folksonomy ontology; free-tagging classification; geographical information retrieval capability; geographical knowledge; inorganized tags; modular ontologies; Ontologies; Resource description framework; Semantics; Spatial databases; Tagging; Web sites; digital gazetteer; folksonomy; geographical knowledge; ontology; tagging;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2010 18th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-7301-4
Type
conf
DOI
10.1109/GEOINFORMATICS.2010.5567595
Filename
5567595
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