基于本体的语义搜索研究与实现

发布时间：2018-08-30 09:01

【摘要】：伴随着计算机技术、信息技术、网络技术的发展，人们的生产、生活发生了翻天覆地的变化，尤以信息技术及其相关技术的强劲发展对这个世界的影响最为深远。随之而来的是信息以各种各样的形式（结构化、非结构化、半结构化）存在着，互联网上、各信息系统数据库、知识库、信息库等充斥着大量的信息，导致信息量的急剧膨胀。因此基于关键字匹配信息检索工具应运而生，但是面对浩瀚的信息量却无法得到令用户满意的信息。在这个以信息为其基石的时代，信息造就一个人的成功，，而现在却因信息过剩而带给人们越来越多的困难——充满了太多不确定性。近来随着语义网的提出及语义网技术的发展，语义的表示和知识的建模方面的研究也有了一定的进展。因此，语义搜索就进入了研究者的视野，关注的不再拘泥于关键字字面本身，而是以用户搜索意图为出发点，从而得到更符合需求的信息。本文就从语义本身的角度来研究语义搜索，以本体为基础，建立搜索模型。即搜索是搜索引擎以本体为其掌握的“符号系统”“解译”供搜索资源中的文字，是与作者的“交流”。以该模型为基础，提出了将词语语义具体化、形式化为计算机可以处理的形式，将无形的语义具体化的方法。在此基础上，提出评分方式判定搜索引擎对供搜索资源的“解译”程度，以确定资源的顺序。最后在所做研究和设计的基础上，实现了基于本体的语义搜索原型系统，验证了搜索模型的可行性和有效性。
[Abstract]:With the development of computer technology, information technology and network technology, people's production and life have undergone earth-shaking changes, especially the strong development of information technology and its related technology has the most far-reaching impact on the world. Followed by the information in a variety of forms (structured, unstructured, semi-structured), the Internet, the information system database, knowledge base, information base filled with a lot of information, resulting in the rapid expansion of information. Therefore, keyword matching information retrieval tools emerge as the times require, but in the face of the vast amount of information, they can not get satisfactory information. In this era of information as its cornerstone, information makes a person successful, but now because of the information glut brings more and more difficulties-full of too much uncertainty. Recently, with the development of semantic Web and the development of semantic Web technology, the research on semantic representation and knowledge modeling has made some progress. Therefore, semantic search has entered the field of view of researchers, focusing not on the word itself, but on the purpose of user search, so as to get more information that meets the needs. In this paper, semantic search is studied from the point of view of semantics itself, and a search model is established on the basis of ontology. That is, search is the search engine "symbol system" and "interpretation" for searching resources, and it is also the "communication" with the author. Based on the model, a method is proposed to concretize the semantics of words, formalize them into a form that can be processed by computer, and concretize the intangible semantics. On this basis, a scoring method is proposed to determine the degree of "interpretation" of search engines to search resources in order to determine the order of resources. Finally, based on the research and design, a semantic search prototype system based on ontology is implemented, which verifies the feasibility and effectiveness of the search model.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP391.1

【相似文献】