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Semantic search tries to concentrate on the boundaries of text search by performing search in a conceptual space, based on disambiguated concepts rather than exact words, and by exploiting semantic networks of concepts underlying the texts. This paper discusses an on-going research project in developing a semantic digital library in academic institution. It provides another view of semantic information retrieval for a digital library from the perspective of semantic technology. It then proposes a semantic indexing and retrieval approach which includes an ontology based information retrieval framework. The proposed ontology based retrieval model will be based on an adaptation of the classic vector space model, which includes document annotation, weighting and concept-based ranking algorithm.