TY - JOUR
AU - 
AB - (IJACSA) International Journal of Advanced Computer Science and Applications, A Method for Designing Domain-Specific Document Retrieval Systems using Semantic Indexing 1 2 3 ThanhThuong T. Huynh TruongAn PhamNguyen Nhon V. Do University of Information Technology University of Information Technology Ho Chi Minh City Open University VietNam National University HCMC VietNam National University HCMC Ho Chi Minh city, Viet Nam Ho Chi Minh city, Viet Nam Ho Chi Minh city, Viet Nam Abstract—Using domain knowledge and semantics to conduct To provide for those needs, we propose a model to build effective document retrieval has attracted great attention from a class of document retrieval systems that optimize to manage researchers in many different communities. Ultilizing that ap- a collection of documents in the same domain. The key proach, we presents the method for designing domain-specific challenging for those systems is a high precision semantic document retrieval systems, which manages semantic information based search engine, which would be the focal point of the related to document content and supports semantic processing work discussed in this article. We follow the recent trend in search. The proposed method integrates components such of ontology based semantic search as well as graph based as an ontology 
TI - A Method for Designing Domain-Specific Document Retrieval Systems using Semantic Indexing
JF - International Journal of Advanced Computer Science and Applications
DO - 10.14569/ijacsa.2019.0101063
DA - 2019-01-01
UR - https://www.deepdyve.com/lp/unpaywall/a-method-for-designing-domain-specific-document-retrieval-systems-duO5ldNFML
DP - DeepDyve
ER -