A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Children's Internet searching on complex problems: performance and process analyses
Journal of the American Society for Information Science - Special issue on user-centered cooperative systems
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
A bottom-up merging algorithm for Chinese unknown word extraction
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
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Searching information on the Web has become part of everyone's daily activity in the modern society. The Web brings much convenience into our lives; however, with the amount of information growing in a staggering speed, how to sieve out useful information and knowledge effectively has become an important skill. In order to obtain a better search result, one needs to know how to form appropriate key words and phrases for search engines. However, elementary school students don't have sufficient abilities of sub-cognition, and they often form a search string in a natural language which contains few keywords in a long sentence; therefore, the search results do not often satisfy their need. This study addresses this problem by introducing an agent to parse the search string, align synonyms, sift out keywords, and include hyponyms in the intended field. Knowledge in a specific learning unit is represented with Ontology technology and transformed into keywords and associated structure. This study also integrates Google API and establishes specific function characteristics to eliminate unrelated files to conduct the search. The result shows that the prototype system can provide pupils with more accurate results.