基于語義網的游戲語義模型與語義檢索系統(tǒng)的研究與應用
發(fā)布時間:2018-07-29 17:19
【摘要】:游戲行業(yè)的快速發(fā)展使得用戶對于游戲信息的獲取需求越來越專業(yè)化。傳統(tǒng)的檢索由于網絡上過于龐大的信息以及較落后的關鍵詞匹配方法,已經不能滿足于該領域用戶的檢索需求。因此本文提出了一種基于語義網的游戲語義檢索系統(tǒng),結合語義網核心技術,為游戲領域的用戶提供一種更貼合用戶查詢的專業(yè)化檢索系統(tǒng)。 本文的工作首先是在基于語義網的理論基礎上提出了游戲本體知識模型,該模型包含了游戲領域的核心概念、術語和知識,為游戲領域的語義檢索提供了知識框架。本文然后對于游戲語義檢索系統(tǒng)中的幾個關鍵問題進行了研究,研究內容包括游戲本體知識庫的構建機制的研究和分析、存儲和推理機制的研究、語義檢索機制中的語義擴展算法、查詢結果排序算法。最后對游戲語義檢索系統(tǒng)進行了需求分析,以此為基礎本文開展了游戲語義檢索系統(tǒng)的設計工作,在傳統(tǒng)搜索引擎查詢方式的基礎上,提出了基于游戲本體知識庫的語義檢索方法,借助游戲本體知識模型對用戶查詢請求的語義擴展來豐富查詢結果,并且通過對檢索結果進行語義權重計算來優(yōu)化結果排序,采用B/S模式實現系統(tǒng)的服務和管理功能。 游戲語義檢索系統(tǒng)改變了傳統(tǒng)的通用搜索引擎的檢索模式,它不僅是一個針對游戲領域信息的專業(yè)化檢索系統(tǒng),,也是語義網技術在小型專業(yè)化搜索引擎領域開展的初步研究和應用。
[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.
【學位授予單位】:北京工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2012
【分類號】:TP391.3
本文編號:2153426
[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.
【學位授予單位】:北京工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2012
【分類號】:TP391.3
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