Abstract: Term-concept mapping, as one of the key steps of ontology-based semantic search, has a great impact on precision and recall. In traditional methods based on keyword matching, termconcept co-occurrence is introduced to compute the association,but this kind of method doesn't consider the attributes of concepts or their values, losing the semantic information. To handle the problem, we proposed a term-concept mapping method based on triple-document annotation, which takes into count both the concept document and term-document relationship, calculates the correlation and confident degree of term-concept firstly,and then gives the final mapping results. The experiments show that this method improves the precision and recall effectively.

Key words: Ontology, Term, Mapping, Annotation, Triple