—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 ion 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 Protégé, 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 ion. 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. Keywords- semi-automatic annotation system, semantic search, we...
C.-H. Liu, H.-C. Chen, J.-L. Jain, J.-Y. Chen