DocumentCode
3424248
Title
Ontology based digital library search model research
Author
Guo, Lifan ; Zhou, Yigang
Author_Institution
Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
184
Lastpage
187
Abstract
Ontologies, as sets of concepts and their interrelations in a specific domain, have proven to be a useful tool in the areas of digital libraries, semantic web, and the like. But large-scale analysis of ontology usage is constrained primarily in specific domain, like medical, scholarly artifact, biosciences, where knowledge presentation is structured and easier to understand. The application of ontologies in the domain of humanities, especially history, however, is rare since the extraction from knowledge of history is hard. In the current paper, we introduce an ontology based visualization model to integrate ontology in historical knowledge searching. Particularly, this period of history is related with Kuomintang and Early Communist Periods of China. The objective is assisting knowledge representation and knowledge inference for the purpose of knowledge management.
Keywords
digital libraries; knowledge representation; ontologies (artificial intelligence); digital library search model research; historical knowledge searching; knowledge inference; knowledge management; knowledge representation; ontologies; visualization model; Educational institutions; Hidden Markov models; History; Information retrieval; Knowledge management; Ontologies; Search methods; Semantic Web; Software libraries; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255134
Filename
5255134
Link To Document