@article{(Open Science Index):https://publications.waset.org/pdf/12950,
	  title     = {Research Topic Map Construction},
	  author    = {Hei-Chia Wang and  Che-Tsung Yang},
	  country	= {},
	  institution	= {},
	  abstract     = {While the explosive increase in information published
on the Web, researchers have to filter information when searching for
conference related information. To make it easier for users to search
related information, this paper uses Topic Maps and social information
to implement ontology since ontology can provide the formalisms and
knowledge structuring for comprehensive and transportable machine
understanding that digital information requires. Besides enhancing
information in Topic Maps, this paper proposes a method of
constructing research Topic Maps considering social information.
First, extract conference data from the web. Then extract conference
topics and the relationships between them through the proposed
method. Finally visualize it for users to search and browse. This paper
uses ontology, containing abundant of knowledge hierarchy structure,
to facilitate researchers getting useful search results. However, most
previous ontology construction methods didn-t take “people" into
account. So this paper also analyzes the social information which helps
researchers find the possibilities of cooperation/combination as well as
associations between research topics, and tries to offer better results.},
	    journal   = {International Journal of Humanities and Social Sciences},
	  volume    = {7},
	  number    = {2},
	  year      = {2013},
	  pages     = {326 - 328},
	  ee        = {https://publications.waset.org/pdf/12950},
	  url   	= {https://publications.waset.org/vol/74},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 74, 2013},
	}