Vertical engine searching method and system for domain body restraint

Abstract

The invention discloses a vertical engine searching method for domain body restraint, which comprises the following steps of: establishing a domain body library and constructing a domain body generator and a domain body importer; performing semantic analysis and body description on network resources by using a web crawler with a semantic analysis filter from various body models of the domain body library, and automatically performing resource conformity calculation and classification to form classification information with semantic features; establishing a semantic relation between the network resources, forming domain resources with semantic relation, and finishing body description of single network resource and storing the network resources; and performing semantic rewriting and mapping on retrieval according to the body, finishing semantic analysis and expansion of the retrieval, taking the body-based resource and retrieval as input, and finishing expansion of the body library and rule restraint expansion through rule learning and modes so as to form a secondary body of the domain body. The method has the advantages that the method with semantic restraint saves the retrieval time, improves the retrieval precision and realizes the advantage of semantic supporting retrieval.

Description

technical field [0001] The invention relates to a search engine method, in particular to a search engine method constrained by domain ontology. Background technique [0002] Internet search engine information retrieval is mainly based on simple keyword matching, which uses network technology and Chinese information processing technology, while traditional field vertical search engines only ensure the relevance of content through a fixed list of website information sources, but cannot effectively To carry out source information discovery and identification. [0003] Although related technologies for semantic information retrieval have appeared in recent years, their applications in search engines are mainly aimed at using semantic reasoning to perform retrieval expansion and ontology semantic distance improvement weight calculations. Among them, the search engine technology based on ontology-based semantic web ,as follows: [0004] (1) Zhang Liangliang's "Research on Semant...

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Problems solved by technology

In terms of resource collection, although there are collection strategies involving the use of ontology, they only judge the usefulness of links from the perspective of semantic similarity calculations, and do not comprehensively use semantic information, structured information, user feedback patterns, and other information to control the overall download. In terms of domain ontology management, manual design is mostly used, lack of existing ontology import methods, and the ability to automatically learn and expand by using web page resource models and user retrieval; in terms of resource storage and management, there is a lack of resource ontology Semantics and keywords of analysis and resources are integrated and stored; in terms of user retrieval, only domain vocabulary is used for matching, lacking comprehensive analysis and utilization of user semantic patterns, user keyword correlation semantics, and domain semantics, and the ontology of queries is also too rough

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