Query Results Dealing Technology Of Deep Web Based On Ontology And Conceptual Schema

As the World Wide Web develops rapidly, it contains lots of information that can be utilised by us. The whole Web seems big and unarranged, but according to its "depth" of information that it contains, we will devide it into two parts, namely, they are Surface Web and Deep Web. Compared to Surface Web, Deep Web has such characters as containing more information, having much better information quality, including the themes that are more specilized and including more stronger strctures.At present, the studies on information integration of Deep Web have been attached more and more attentions, while the Deep Web query results dealing technology is regarded as one of the core contents of this study. From the current analysis of information integration, we know that even though the ontology has been applied in Semantic Web at early times, but its applied practical effects have not been well embodied in the Deep Web's information integration. The query results dealing system studied in this paper belongs to a subsystem of Deep Web's data integration system which has been greatly improved on the basis of the original research results, it not only has introduced the ontology, the conceptual schema and results model which are regarded as the cutting-edge technology in computer field, it also has conducted a scientificly detailed design for this system, and it puts these frontier technology reasonably into the system which has efficiently solve the problems of the fusion between heterogeneous data. This paper's main research work and innovation points as follows:(1) This paper has mainly introduced the related knowledge and analyzed the structure of domain ontology, according to building method of domain ontology, combining tourism field's related characteristics of the results records of Web database, with OWL 2 as code language, constructing the tourism domain ontology.(2) This paper has put forward the query result dealing technology based on Conceptual Schema, through the sample inquires to generate results mode, regulating the heterogeneous result records that are from different Web database, making the inquired data become unified and standardized in conceptual schema, thus in this way, we can make the result record of merger, sorting, record to heavy and further treatment and use become very convenient.(3) This paper introduces the properties, concept and the similarity calculation method for example, combining ontology of conceptual level characteristics and semantic relations, making similarity calculation method for the appropriate improvement, greatly achieving the purpose of inhancing effect of dtat fusion.(4) In this paper, on the basis of previous studies on Deep Web query results dealing system based on domain of tourism for the detailed design and scientific improvement, we put the technology of domain ontology and results model reasonably into the system, thereby we can greatly improve the performance of the system.