Research On Blasting Industry Information Search Technology Based On Ontology

Digital archives based on blasting industry is blasting the industry of digital resources, to facilitate information storage and query. With the technology continues to evolve, blasting industry, literature, equipment and personnel and other information on the rise, and how to manage these information are, and when in the query provide a flexible, user-friendly way to be a difficulty. This paper introduces the ontology technology to solve these problems. From the perspective of knowledge sharing, ontology can be seen as a conceptual description, is an objective description of the concepts and relations, it will express the conceptual model of recessive greatly reduce the machine concept and understand the problem domain logic may cause misunderstanding. The establishment of a large ontology, if you use the development tools to build, will be a very tedious and error-prone process. So this first use of relevant technology to automatically build blasting industry domain ontology, ontology matching the query module using semantic expansion algorithm, and in the inference mechanism, in accordance with industry rules by adding constraints.This study focused on the following areas:1) Improve the existing research results OWL_SQL ontology storage mode and the analysis of the blasting industry body, the use of OWL language design the blasting industry body template.2)The use of the body template of blasting industry, combined with the characteristics of the original data store, design the corresponding ternary relational table structure to achieve the combination of ontology with the original data, provides the basis for the semantic search.3) The table structure with ternary relationships, and extract ontology concepts and relationships to fill in the template body, thus achieving the proposed blasting industry, the automatic ontology construction method.4) Improved expansion of the existing semantic search algorithm, combined with blasting industry, industry characteristics, the concept of similarity calculation method will be used in keyword expansion, and improving data recall. 5) Finally, digital archives system in the blast, according to this analysis and the proposed method, design and development of ontology-based semantic search capabilities. Keyword system be extended through semantic matching, better able to express the user's real needs, thereby enhancing the system's search speed and accuracy.