Ontology Design in Visual Stock Information System

The technology of visualization should be merged with semantic technology for abstracting and describing information from the processed DataStream, transaction data and high dimension data in the stock market. This paper proposed the ontology design in visual Stock Information System (VSIS) which combined domain information with function requirements. Firstly, use case diagram and ontology design principles of VSIS were given. Then, according to different information sources and learning theory, learning procedure, validation procedure and their interactions comprised the ontology learning cycle, whose result is VSIS top ontology pools. Next, the ontology in VSIS was defined, whose top ontology covered stock ontology, agent ontology, enquire ontology, visualization ontology, interface ontology, DB operation ontology and error processing ontology. Finally, the defined ontology was validated by Protégé.

A Method for Ontology Module Selection

The central idea of ontology engineering in semantic Web is extensive reuse of existing ontology. Ontology selection mechanism should offer support for modularization and automatic knowledge reuse. Because the chance of finding a completely covering ontology is extremely low, the present ontology selection mechanism frequently returns a collection of ontology that jointly cover the query vocabulary and the returned ontology should be extracted and combined. The efficiency of most existing ontology extraction algorithm and the decomposition algorithm is low when they try to get a suitable ontology module from a large ontology at run time. In order to solve this problem, this paper proposed a kind of ontology module selection method without the use of top ontology: Decomposes the big ontology into ontology modules in advance, inquires and chooses the corresponding ontology modules from the ontology module base in application stage, applies or composes the selected ontology modules in the next step. In this paper, relevant concepts and criterions of ontology modules selection are studied, including basic notions and conventions. Method of ontology module selection is described. Candidate ontology module identification and evaluation method are introduced; preliminary experimental results and the corresponding analysis are shown at the last section.