基于语义网的游戏语义模型与语义检索系统的研究与应用

发布时间：2018-07-29 17:19

【摘要】：游戏行业的快速发展使得用户对于游戏信息的获取需求越来越专业化。传统的检索由于网络上过于庞大的信息以及较落后的关键词匹配方法，已经不能满足于该领域用户的检索需求。因此本文提出了一种基于语义网的游戏语义检索系统，结合语义网核心技术，为游戏领域的用户提供一种更贴合用户查询的专业化检索系统。本文的工作首先是在基于语义网的理论基础上提出了游戏本体知识模型，该模型包含了游戏领域的核心概念、术语和知识，为游戏领域的语义检索提供了知识框架。本文然后对于游戏语义检索系统中的几个关键问题进行了研究，研究内容包括游戏本体知识库的构建机制的研究和分析、存储和推理机制的研究、语义检索机制中的语义扩展算法、查询结果排序算法。最后对游戏语义检索系统进行了需求分析，以此为基础本文开展了游戏语义检索系统的设计工作，在传统搜索引擎查询方式的基础上，提出了基于游戏本体知识库的语义检索方法，借助游戏本体知识模型对用户查询请求的语义扩展来丰富查询结果，并且通过对检索结果进行语义权重计算来优化结果排序，采用B/S模式实现系统的服务和管理功能。游戏语义检索系统改变了传统的通用搜索引擎的检索模式，它不仅是一个针对游戏领域信息的专业化检索系统，，也是语义网技术在小型专业化搜索引擎领域开展的初步研究和应用。
[Abstract]:With the rapid development of game industry, users' demand for game information is becoming more and more professional. Because of the huge information on the network and the backward keyword matching methods, the traditional retrieval can not meet the needs of users in this field. In this paper, a semantic search system based on semantic Web is proposed, which combines the core technology of semantic Web to provide a professional retrieval system for users in the field of games. First of all, this paper proposes a game ontology knowledge model based on the theory of semantic web, which includes the core concepts, terms and knowledge of the game domain, and provides a knowledge framework for semantic retrieval in the game domain. Then, several key issues in the game semantic retrieval system are studied, including the research and analysis of the game ontology knowledge base, the research of the storage and reasoning mechanism. Semantic extension algorithm and query result sorting algorithm in semantic retrieval mechanism. Finally, the requirement analysis of the game semantic retrieval system is carried out. Based on this, the design of the game semantic retrieval system is carried out, which is based on the traditional search engine query method. This paper proposes a semantic retrieval method based on game ontology knowledge base, which enriches query results by extending the semantic of user query requests with game ontology knowledge model, and optimizes the ranking of results by calculating the semantic weight of retrieval results. B / S mode is used to realize the service and management function of the system. The game semantic retrieval system has changed the traditional search mode of the general search engine. It is not only a specialized retrieval system for the information in the game field. It is also a preliminary research and application of semantic Web technology in the field of small specialized search engines.
【学位授予单位】：北京工业大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP391.3

【参考文献】