Abstract—Recently, there has been a growing concern on processing documents’content and meaning in information retrieval; concept-based systems have been being studied and developed in order to replace the traditional ones that have several existing major weaknesses. We proposed a document retrieval system design in a specific domain, which manages semantic information related to document content and supports semantic representation and processing in document retrieval, and successfully applied it to some real life projects. However, the solution still has some limitations thus can be further developed and can be adapted for future requirements such as expending domain knowledge and range of applications, improving search results and processing speed. This paper presents some improvements in ontology model along with semantic processing techniques. These changes have been implemented in the same project with a previous solution to evaluate the effectiveness of this work.
Index Terms—Document retrieval system, semantic representation and search, document representation, ontology
Cite: Nhon V. Do, TruongAn PhamNguyen, Hung K. Chau, and ThanhThuong T. Huynh, "Improved Semantic Representation and Search Techniques in a Document Retrieval System Design," Vol. 6, No. 3, pp. 146-150, August, 2015. doi: 10.12720/jait.6.3.146-150
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