The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web
|
Author(s): Henry M. Kim (York University, Canada), Arijit Sengupta (Wright State University, USA), Mark S. Fox (University of Toronto, Canada)and Mehmet Dalkilic (Indiana University, USA)
Copyright: 2009
Pages: 21
Source title:
Advanced Principles for Improving Database Design, Systems Modeling, and Software Development
Source Author(s)/Editor(s): Keng Siau (City University of Hong Kong, Hong Kong SAR)and John Erickson (University of Nebraska, Omaha, USA)
DOI: 10.4018/978-1-60566-172-8.ch002
Purchase
|
Abstract
This paper introduces a measurement ontology for applications to semantic Web applications, specifically for emerging domains such as microarray analysis. The semantic Web is the next-generation Web of structured data that are automatically shared by software agents, which apply definitions and constraints organized in ontologies to correctly process data from disparate sources. One facet needed to develop semantic Web ontologies of emerging domains is creating ontologies of concepts that are common to these domains. These general, “common-sense” ontologies can be used as building blocks to develop more domain-specific ontologies. However most measurement ontologies concentrate on representing units of measurement and quantities, and not on other measurement concepts such as sampling, mean values, and evaluations of quality based on measurements. In this paper, we elaborate on a measurement ontology that represents all these concepts. We present the generality of the ontology, and describe how it is developed, used for analysis and validated.
Related Content
Renjith V. Ravi, Mangesh M. Ghonge, P. Febina Beevi, Rafael Kunst.
© 2022.
24 pages.
|
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N..
© 2022.
20 pages.
|
Ram Singh, Rohit Bansal, Sachin Chauhan.
© 2022.
19 pages.
|
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka.
© 2022.
17 pages.
|
Vladimir Nikolaevich Kustov, Ekaterina Sergeevna Selanteva.
© 2022.
23 pages.
|
Krati Reja, Gaurav Choudhary, Shishir Kumar Shandilya, Durgesh M. Sharma, Ashish K. Sharma.
© 2022.
18 pages.
|
Nwosu Anthony Ugochukwu, S. B. Goyal.
© 2022.
23 pages.
|
|
|