%0 Journal Article
%T Semi-automatic Annotation System for OWL-based Semantic Search
%A C.-H. Liu
%A S.-C. Hung
%A J.-L. Jain
%A J.-Y. Chen
%J International Journal on Computer Science and Engineering
%D 2009
%I Engg Journals Publications
%X Current keyword search by Google, Yahoo, and so on gives enormous unsuitable results. A solution to this perhaps is to annotate semantics to textual web data to enable semantic search, rather than keyword search. However, pure manual annotation is very time-consuming. Further, searching high level concept such as metaphor cannot be done if the annotation is done at a low abstraction level. We, thus, present a semi-automatic annotation system, i.e. an automatic annotator and a manual annotator. Against the web ontology language (OWL) terms defined by Prot¨¦g¨¦, the former annotates the textual web data using the Knuth-Morris-Pratt (KMP) algorithm, while the latter allows a user to use the terms to annotate metaphors with high abstraction. The resulting semantically-enhanced textual web document can be semantically processed by other web services such as the information retrieval system and the recommendation system shown in our example.
%K semi-automatic annotation system
%K semantic search
%K web ontology language (OWL)
%U http://www.enggjournals.com/ijcse/doc/IJCSE09-01-03-23.pdf