Application of Spatial Information Search Engine Based on Ontology in Public Health Emergence

• Published in: 2009 3rd International Conference on Bioinformatics and Biomedical Engineering pp. 1 - 4
• Main Authors: Mao, Xi, Li, Qi, Zhang, Zimin, Zhu, Qiang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2009
• Subjects: Data mining; Hazards; Information retrieval; Internet; Ontologies; Prototypes; Public healthcare; Search engines; Spatial databases; Web pages
• ISBN: 9781424429011; 1424429013
• ISSN: 2151-7614
• DOI: 10.1109/ICBBE.2009.5162396

With development of Internet, search engine has been become an important information way for people to obtain information. Every time when a public health emergence happens, tremors demand for timely, accurate answers to spatial queries through the Web, for large numbers of information about this event will be published on the Web. However general information search engine do not support these kind of query very well. The main reasons are general information search engine treat all the query as keywords and keywords cannot completely express user's need. So in order to support spatial information query in Public health Emergence, Spatial Information Search Engine searches and saves public health Emergence information on the Internet, and organize this information by that domain ontology. By domain ontology semantic, spatial information's semantic meaning can be formal expressed, user's retrieval can be processed on the semantic layer, so that search engine can better understand user's needs, and return result on demand. In this paper we propose a prototype system of Subject-oriented Spatial Information Search Engine, and take emergence public health hazards for example. This prototype can get Web pages from Internet, establish Webpage database, extract spatial information about emergence public health hazards from these Web pages, formally express this information by domain ontology and treat user's input in semantic way.