Michelle Lim Sien Niu's scientific contributions

What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.

It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.

If you're a ResearchGate member, you can follow this page to keep up with this author's work.

If you are this author, and you don't want us to display this page anymore, please let us know.

Publications (2)

Multilinguality in AGROVOC Concept Scheme: Challenges and Experiences
Conference Paper
  • Feb 2012
AGROVOC plays a significant role in setting the standards as a common data model for representing and linking multilingual information from Agriculture, Forestry, Fisheries, Food and other related domains resources unequivocally. Researchers, librarians, terminologist and information managers from international organizations leverage on AGROVOC as...
Cite
Request full-text
Ontology Model for National Science and Technology
Article
  • Jan 2012
Heterogeneous data from various sources related to the National Science and Technology (NST) domain can be represented using ontological modelling. Data about researchers, research organizations, research projects, publications and research facilities are represented in Resource Description Framework (RDF), enabling all the data to relate to each o...
Cite
Request full-text

Citations

... Furthermore, based on the author's literature findings, only four areas have currently implemented Semantic Web in Malaysia. These areas include health, education, agriculture and economics [31,[33][34][35]. Clearly, this shows the gap for integrating oil and gas data as semantic big data. ...
Reference: A Proposed Methodology for Integrating Oil and Gas Data Using Semantic Big Data Technology
View