Place name ambiguities in Urban Planning Domain Ontology

Yi Pei Liao, Feng Tyan Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Integrating spatial information is a crucial step in construction of Urban Planning Domain Ontology (UPDO), and taking spatial information from the web as the input of self-learning method are commonly used in constructing ontology. In this case, the use of place names could be important indicators of understanding the spatial information on the web. However, place names expressed in natural language bring diverse ambiguities, which would bring great challenges to several research fields such as Geographic Information System (GIS) and Geographic Information Retrieval (GIR). GIR has more contribution on place name ambiguities than GIS. Nevertheless, from the perspective of the urban planning domain, it is still lacking in application. This paper is a position paper that aims to bring out an argument of place name ambiguities in UPDO, and introduce two kinds of ambiguity frequently appearing in the urban planning domain. The paper also proposes a hierarchical structure of spatial ontology that allows constructors to deal with ambiguities. We believe in that the ambiguity issue is critical for urban planning, and the argument is worth discussing to all relevant domains.

Original languageEnglish
Title of host publicationKEOD
EditorsAna Fred, Jan Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe, Joaquim Filipe
PublisherSciTePress
Pages429-434
Number of pages6
ISBN (Electronic)9789897581588
DOIs
Publication statusPublished - 2015
Event7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015 - Lisbon, Portugal
Duration: 2015 Nov 122015 Nov 14

Publication series

NameIC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Volume2

Conference

Conference7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015
CountryPortugal
CityLisbon
Period15-11-1215-11-14

All Science Journal Classification (ASJC) codes

  • Software

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