Semantic Annotation for CSSCI Academic Resources Based on Ontology

The paper emphatically elaborates the process and method of realizing semantic annotation for domain data based on the CSSCI conceptualization which constructed before. The essence is that extracting the academic resource instances from CSSCI data under the guidance of the object-oriented knowledge organization model, setting values for properties of the instances by methods of directly extracting based on relational data model, directly statistic calculating assisted by TF-IDF algorithm, synthesis algorithm combined criterion weighting with formal concept analysis and so on, discovering and analyzing semantic association between instances, so as to integrate all CSSCI academic resources into a huge knowledge map based on ontology and to support the knowledge retrieval and citation analysis.