Ontology-Based Semantic Annotation for Problem Set Archives in the Web

0 IntroductionAsneim mapnotircta nWte pbre i-sco tnhdieti oabnilfiotry r etaoli zainnngotthatee go aWle obf trhe-esources with semanticinformation1]. However ,annotationtools so far basically allowthe user to annotate with plaintext using the method of information extraction.In manycases ,one can hardly extract semantics from Web docu-ments ,such as problemset archivesinthe Web.Massive problemset archives are availableinthe Web,for example,http://acm.uva.es, while each problemsetarchives pr…

Ontology-based semantic annotation for problem set archives in the Web

Aimming at the difficulty in getting semantic informarton from each problem in problem set archives, We propose a new method of ontology based semantic annotation for problem set archives, which utilizes programming knowledge domain ontology to add semantic annotations to problems in the Web. The system we developed adds semantic annotation for each problem in the form of Extensible Makeup Language. Our method overcomes the difficulty of extracting semantics from problem set archives and the efficiency of this method is demonstrated through a case study. Having semantic annotations of problems, a student can efficiently locate the problems that logically corre spond to his knowledge.