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The Design and Implementation of Semantic Retrieval Prototype System Based-on Ontology

Author: DuanShouJian
Tutor: XiaYouMing
School: Yunnan Normal University
Course: Theory of computer software
Keywords: Information Retrieval Noumenon Lucene Semantic Search Concept Similarity Concept association Query Expansion Protégé Jena
CLC: TP391.3
Type: Master's thesis
Year: 2008
Downloads: 136
Quote: 1
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Abstract

With the rapid development of computer network technology, computer information storage, transmission and processing capacity requirements of rapid growth, the retrieval and use of the mass of information has become an important research and application areas. Traditional information retrieval methods used in simple matching based on the syntax level characters, words, and lack of knowledge representation, processing and understanding. The key to solving this problem is to enhance the information retrieved from the syntax match based on keywords semantic matching based on the knowledge level. The body has a better logic inference for a search term given by the user, the use of the body of logic inference fields, can be judged to which it belongs, and then were related concept and definition of the field of the body in the form available to the user. This can help users clarify their information needs, is not aware of, not articulate objective information needs further externalization; the other hand, allows the system to determine the exact location of the search terms in the domain ontology, to help the machine to understand the user's search intent, to provide users with more accurate and relevant to knowledge and information. Retrieve the semantic ontology building concept space, can deal with the relationship between the concepts of the semantic processing ability. Ontology-based semantic retrieval is more in line with the thinking habits of human beings, and to overcome the information redundancy or loss of information due to the shortcomings of traditional search methods, the query is more reasonable. In this paper, information retrieval technology and ontology technology, mainly do research in ontology-based semantic retrieval: (1) based on traditional information retrieval technology and ontology technology, proposed a semantic retrieval based on ontology and Lucene system model, the model in traditional information retrieval systems ontology provides semantic support for information retrieval systems, the paper describes the overall design of the model and the detailed design of the individual modules; (2) research in the field of ontology concepts similar and relevance of proposed calculation methods of similarity and correlation between concepts, and to combine these two quantitative indicators, the relationship between a concept of comprehensive quantitative methods, this method give full consideration to the similarity between the concept and related ; (3) on the basis of the above work, combined with query expansion techniques proposed one kind of body conceptual similarity and correlation-based query expansion method; (4) ontology-based query expansion and Lucene full-text search tool design and a semantic search prototype experimental system. How to further the promotion and application-based ontology semantic retrieval goals and expectations of future work. With the rapid development of computer network technology, computer information storage, transmission and processing capacity requirements of rapid growth, the retrieval and use of the mass of information has become an important research and application areas. Traditional information retrieval algorithm based on a simple word, word syntax level match, and the lack of knowledge representation, processing and understanding ability. The key to solving these problems is to enhance the information retrieved from keyword-based syntax match to the semantic matching based on the knowledge level. Ontology is an explicit description of the conceptualization of it in a real world application areas abstracted into the relationship between a set of concepts and concept. Ontology fusion to traditional information retrieval techniques, not only inherits the advantages of the concept of information retrieval, conceptual information retrieval is not the concept of the relationship between processing limitations can also be overcome. Ontology-based semantic retrieval is superior to keyword search, because the body contains the machine can determine the definition of the concept, so that the system, a unified understanding of the links between the concept and the basic axioms of knowledge in the field of the concept in the field, the system through the analysis contained in the user query semantic understanding of the user's query, and accurately mapped to information resources, and to improve the recall and precision of information retrieval systems. In this paper, the basic principles of computer information retrieval, analyzes and compares the characteristics and shortcomings of the traditional information model, and information retrieval research focus and direction; lack of semantic characteristics for traditional information retrieval research ontology knowledge organization superiority and create the principles, methods and tools, as well as the existing typical ontology way, including the basic concepts of the body, the ontology description language, body, and laid a theoretical foundation for ontology-based semantic retrieval; semantic retrieval based on the the ontology semantics of design ideas, and summed up the home and abroad ontology-based semantic retrieval condition and results; This paper studies the ontology-based development tools, including ontology creation and maintenance tools Protege ontology parsing and manipulation toolkit Jena and full-text retrieval tool Lucene, achieve ontology-based semantic retrieval system development has laid a foundation.

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