基于框架网络本体的语义检索模型
摘要
传统的检索方法缺乏对信息进行语义化的理解及组织,致使计算机缺乏对信息资源的内在含义及它们之间关系的语义理解,不能满足用户的信息检索需求。语义Web将人类可读信息扩充到计算机可以理解的内容,其中Ontology通过对概念的严格定义和概念之间的关系来确定精确含义,表示共同认可的、可共享的知识,因此将本体应用在信息检索中,通过将信息资源及用户的检索请求用本体中的概念进行统一描述对其赋予语义,就能弥补传统检索方法的不足,因此,基于本体的语义检索是检索领域的热点之一。
本文通过研究基于本体的语义信息检索在国内外理论与应用方面的进展,针对传统信息检索中存在的缺陷,提出了以本体论为核心的基于框架网络本体的语义检索模型。论文首先介绍了框架网络本体的特点、结构等基本理论,然后从目前对框架网络本体的研究进度入手,分析对其进行语义检索所要实现的目标,根据该目标来对基于框架网络本体的语义检索模型进行设计,并对模型各个模块的功能及工作流程进行了详细地阐述；然后论文介绍了实现该语义检索所涉及到的词元扩展技术与基于Jena的推理技术这两个关键技术,并通过实例介绍了如何对其词元进行扩展以及如何实现该本体信息的推理。
本文的创新之处为：对框架网络本体词元进行了扩展,并编制自定义推理规则来对扩展该本体信息的语义表达及处理能力,在已有的框架网络本体OWL文档基础之上完成了对基于框架网络本体语义检索模型的设计。
Traditional information retrieval methods are lack of semantic understanding and organization to information; results in computer hardly understand the semantic inherent meaning and relationship between information resources and can not meet the needs of the user's information retrieval. Semantic Web expands the human-readable information to the contents which the computer can understand, and Ontology determines the precise meaning by the strict definitions of concepts and the relationship between concepts, which represent the common recognized and shared knowledge. If Ontology is applied in information retrieval, it can make up the deficiencies of traditional search methods take advantage of the unified description and given semantic to information resource and users' retrieval requests by the concepts of Ontology. Therefore, ontology-based semantic retrieval is to one of the hot focus in retrieve areas.
By researching the progress of the theory and applications of semantic information retrieval based on Ontology in domestic and international, and against existent defects in traditional information retrieval, semantic retrieval model based on Framenet Web Ontology which seems ontology as core is proposed. The paper firstly introduces the basic theory of Framenet Web Ontology, such as its characteristic, structure and so on, and the achieved objectives of semantic search is analyzed from the current study degree to Framenet Web Ontology, according to which semantic retrieval model based on Framenet Web Ontology is designed, at the same time each functions and work processes of this model are described in detail. Then two key technologies of the realization of this semantic retrieval which are lemma expedition technology and the reasoning technology based on Jena, at last the paper illustrates how to extend its terms through example, and how to realize the information reasoning of this ontology.
The innovations of this paper are to expand the lemma of Framenet Web Ontology, and have established the custom inference rules on the extension of the capacity of semantic information expression and processing about this ontology, and then the design of semantic retrieval model based on Framenet Web Ontology has finished in the existent OWL documents of the Framenet Web Ontology.
本文通过研究基于本体的语义信息检索在国内外理论与应用方面的进展,针对传统信息检索中存在的缺陷,提出了以本体论为核心的基于框架网络本体的语义检索模型。论文首先介绍了框架网络本体的特点、结构等基本理论,然后从目前对框架网络本体的研究进度入手,分析对其进行语义检索所要实现的目标,根据该目标来对基于框架网络本体的语义检索模型进行设计,并对模型各个模块的功能及工作流程进行了详细地阐述；然后论文介绍了实现该语义检索所涉及到的词元扩展技术与基于Jena的推理技术这两个关键技术,并通过实例介绍了如何对其词元进行扩展以及如何实现该本体信息的推理。
本文的创新之处为：对框架网络本体词元进行了扩展,并编制自定义推理规则来对扩展该本体信息的语义表达及处理能力,在已有的框架网络本体OWL文档基础之上完成了对基于框架网络本体语义检索模型的设计。
Traditional information retrieval methods are lack of semantic understanding and organization to information; results in computer hardly understand the semantic inherent meaning and relationship between information resources and can not meet the needs of the user's information retrieval. Semantic Web expands the human-readable information to the contents which the computer can understand, and Ontology determines the precise meaning by the strict definitions of concepts and the relationship between concepts, which represent the common recognized and shared knowledge. If Ontology is applied in information retrieval, it can make up the deficiencies of traditional search methods take advantage of the unified description and given semantic to information resource and users' retrieval requests by the concepts of Ontology. Therefore, ontology-based semantic retrieval is to one of the hot focus in retrieve areas.
By researching the progress of the theory and applications of semantic information retrieval based on Ontology in domestic and international, and against existent defects in traditional information retrieval, semantic retrieval model based on Framenet Web Ontology which seems ontology as core is proposed. The paper firstly introduces the basic theory of Framenet Web Ontology, such as its characteristic, structure and so on, and the achieved objectives of semantic search is analyzed from the current study degree to Framenet Web Ontology, according to which semantic retrieval model based on Framenet Web Ontology is designed, at the same time each functions and work processes of this model are described in detail. Then two key technologies of the realization of this semantic retrieval which are lemma expedition technology and the reasoning technology based on Jena, at last the paper illustrates how to extend its terms through example, and how to realize the information reasoning of this ontology.
The innovations of this paper are to expand the lemma of Framenet Web Ontology, and have established the custom inference rules on the extension of the capacity of semantic information expression and processing about this ontology, and then the design of semantic retrieval model based on Framenet Web Ontology has finished in the existent OWL documents of the Framenet Web Ontology.
引文
[1]张开舟等.万维网信息检索系统的比较研究.情报学报,2002,1,42-47.
[2]M R Genesereth, R E Fikes. Knowledge interchange format version 3.0 reference manual.Stanford University,1992.
[3]What's in Cyc. [2009-11-17].http://www.Cyc.com?.
[4]邓志鸿,唐世渭等Ontology研究综述.北京大学学报(自然科学版),2002,22-25.
[5]S. Deerwester, S. T. Dumai, G W. Furnas, T. K. Landauer, R. Harshman. Indexing by latent semantic analysis.Journal of ACM Transactions on Information Systems,2000, 18,79-112.
[6]George A M. WordNet:A lexical database for English. Communications of the ACM, 1995,39-41.
[7]Ontobroker.[2009-11-17].http://ontobroker.aifh.unikarlsrulie.De.
[8]Heflin J, Hendler J, Luke S. SHOS:A Blueprint for the Senmantic Web.[2009-11-20].http://www.cse.lehigh edu/Heflin/pubs/swbook03.pdf.
[9]SKC.[2009-11-17].http://www-db.Stanford.edu/SKC/.
[10]李景.本体理论在文献检索系统中的应用研究.北京：图书出版社,2005,13-25.
[11]王珊,张俊等.基于本体的关系数据库语义检索.计算机科学与控索,2007,1,59-78.
[12]宋峻峰,张维明等.基于本体的信息检索模型研究.南京大学报,2005,2,189-197.
[13]郑杰,纪希禹.基于本体的语义检索模型.科技情报开发与经济,2007,17,119-121.
[14]牛强,邱波等.基于领域本体的学习资源语义检索模型.计算机应用研究,2008,7,1977-1982.
[15]Wordnet. [2009-11-10].http://wordnet.princeton.edu/.
[16]Framenet. [2009-11-1].http://framenet.icsi.berkeley.edu/.
[17]Sumosalad.[2009-11-15]. http://www.sumosalad.com/.
[18]Fillmore,Charles J., Christopher R. Johnson and Miriam R.L. Petruck. Background to Framenet. International Journal of Lexicography,16,3,235-250.
[19]D2R MAP-Database to RDF Mapping Language and Processor [2009-11-3].http://www4.wiwiss.fu-berlin.de/bizer/D2Rmap.htm.
[20]贾君枝,郭丹丹.法律框架网络知识本体构建与实现.情报学报,2007,5,733-740.
[21]贾君枝,董文清,邰杨芳.Framenet核心框架元素间关系研究.情报理论与实 践,2010,1,105-108.
[22]Josef R, Michael E, Miriam R L, ET al. FrameNet Ⅱ:Extended Theory and Practice.[2009-11-9].http://framenet.icsi.berkeley.edu/book/book.pdf.
[23]Colin F.Baker, Charles J.Fillmore, Beau Cronin. The Structure of The FrameNet Datebase. [2009-11-15]. http://framenet.icsi.berkeley.edu.
[24]贾君枝,邰杨芳.FrameNet的语义类型研究.情报理论与实践,2007,5,689-692.
[25]案件频道[2010-3-14]. http://www.legaldaily.com.cn/legal_case/node_21131.htm.
[26]Mike Dean, Guus Schreiber.Web ontology language(OWL)reference.
[2010-02-06]. http://www.w3.org/TR/2004/REC-owl-ref-20040210/.
[27]CCL语料库检索系统.[2010-3-16].http://ccl.pku.edu.cn:8080/ccl_corpus/.
[28]周国光.汉语配价语法论略.南京师大学报(社会科学版),1994,4,145-148.
[29]刘金勤.由语义和句法的关系看动词配价的动态性.长江大学学报(社会科学版),2008,3,89-92.
[30]焦玉英,张璐.基于ontology的语义检索模型构建.图书情报论坛,2006,2,24-29.
[31]李宏伟,蔡畅等.基于Jena和地理本体的空间查询与推理研究.测绘工程,2009,5,5-9.
[32]田光明,刘艳玲Framenet框架之间的关系分析.现代图书情报技术,2008,6,1-5.
[33]计峰,邱锡鹏.基于序列标注的中文依存句法分析方法.计算机应用与软件,2009,10,133-135.
[34]贾君枝,董文清.基于Wordnet的汉语框架网络知识库词元扩展研究.情报科学,2009,12,1866-1870.
[35]董发花,黄宏斌等.跨本体概念间相似度的计算方法---MD4模型.科学技术与工程,2007,7,5273-5277.
[36]Jiwei Zhong, Haiping Zhu, Jianming Li and Yong Yu. Conceptual Graph Matching for Semantic Search, In Proceedings of the 10th International Conference on Conceptual Structures (ICCS 2002), LNCS 2393,2002,7,15-19.
[37]Jena-A Semantic Web Framework for Java. [2010/4/1]. http://jena.sourceforge.net/.
[38]汤炜.基于OWL的语义检索系统的研究与应用.武汉理工大学,2009.
[39]谢桂芳.SPARQL-一种新型的RDF查询语言.湘南学院学报,2009,2,80-84.
[2]M R Genesereth, R E Fikes. Knowledge interchange format version 3.0 reference manual.Stanford University,1992.
[3]What's in Cyc. [2009-11-17].http://www.Cyc.com?.
[4]邓志鸿,唐世渭等Ontology研究综述.北京大学学报(自然科学版),2002,22-25.
[5]S. Deerwester, S. T. Dumai, G W. Furnas, T. K. Landauer, R. Harshman. Indexing by latent semantic analysis.Journal of ACM Transactions on Information Systems,2000, 18,79-112.
[6]George A M. WordNet:A lexical database for English. Communications of the ACM, 1995,39-41.
[7]Ontobroker.[2009-11-17].http://ontobroker.aifh.unikarlsrulie.De.
[8]Heflin J, Hendler J, Luke S. SHOS:A Blueprint for the Senmantic Web.[2009-11-20].http://www.cse.lehigh edu/Heflin/pubs/swbook03.pdf.
[9]SKC.[2009-11-17].http://www-db.Stanford.edu/SKC/.
[10]李景.本体理论在文献检索系统中的应用研究.北京：图书出版社,2005,13-25.
[11]王珊,张俊等.基于本体的关系数据库语义检索.计算机科学与控索,2007,1,59-78.
[12]宋峻峰,张维明等.基于本体的信息检索模型研究.南京大学报,2005,2,189-197.
[13]郑杰,纪希禹.基于本体的语义检索模型.科技情报开发与经济,2007,17,119-121.
[14]牛强,邱波等.基于领域本体的学习资源语义检索模型.计算机应用研究,2008,7,1977-1982.
[15]Wordnet. [2009-11-10].http://wordnet.princeton.edu/.
[16]Framenet. [2009-11-1].http://framenet.icsi.berkeley.edu/.
[17]Sumosalad.[2009-11-15]. http://www.sumosalad.com/.
[18]Fillmore,Charles J., Christopher R. Johnson and Miriam R.L. Petruck. Background to Framenet. International Journal of Lexicography,16,3,235-250.
[19]D2R MAP-Database to RDF Mapping Language and Processor [2009-11-3].http://www4.wiwiss.fu-berlin.de/bizer/D2Rmap.htm.
[20]贾君枝,郭丹丹.法律框架网络知识本体构建与实现.情报学报,2007,5,733-740.
[21]贾君枝,董文清,邰杨芳.Framenet核心框架元素间关系研究.情报理论与实 践,2010,1,105-108.
[22]Josef R, Michael E, Miriam R L, ET al. FrameNet Ⅱ:Extended Theory and Practice.[2009-11-9].http://framenet.icsi.berkeley.edu/book/book.pdf.
[23]Colin F.Baker, Charles J.Fillmore, Beau Cronin. The Structure of The FrameNet Datebase. [2009-11-15]. http://framenet.icsi.berkeley.edu.
[24]贾君枝,邰杨芳.FrameNet的语义类型研究.情报理论与实践,2007,5,689-692.
[25]案件频道[2010-3-14]. http://www.legaldaily.com.cn/legal_case/node_21131.htm.
[26]Mike Dean, Guus Schreiber.Web ontology language(OWL)reference.
[2010-02-06]. http://www.w3.org/TR/2004/REC-owl-ref-20040210/.
[27]CCL语料库检索系统.[2010-3-16].http://ccl.pku.edu.cn:8080/ccl_corpus/.
[28]周国光.汉语配价语法论略.南京师大学报(社会科学版),1994,4,145-148.
[29]刘金勤.由语义和句法的关系看动词配价的动态性.长江大学学报(社会科学版),2008,3,89-92.
[30]焦玉英,张璐.基于ontology的语义检索模型构建.图书情报论坛,2006,2,24-29.
[31]李宏伟,蔡畅等.基于Jena和地理本体的空间查询与推理研究.测绘工程,2009,5,5-9.
[32]田光明,刘艳玲Framenet框架之间的关系分析.现代图书情报技术,2008,6,1-5.
[33]计峰,邱锡鹏.基于序列标注的中文依存句法分析方法.计算机应用与软件,2009,10,133-135.
[34]贾君枝,董文清.基于Wordnet的汉语框架网络知识库词元扩展研究.情报科学,2009,12,1866-1870.
[35]董发花,黄宏斌等.跨本体概念间相似度的计算方法---MD4模型.科学技术与工程,2007,7,5273-5277.
[36]Jiwei Zhong, Haiping Zhu, Jianming Li and Yong Yu. Conceptual Graph Matching for Semantic Search, In Proceedings of the 10th International Conference on Conceptual Structures (ICCS 2002), LNCS 2393,2002,7,15-19.
[37]Jena-A Semantic Web Framework for Java. [2010/4/1]. http://jena.sourceforge.net/.
[38]汤炜.基于OWL的语义检索系统的研究与应用.武汉理工大学,2009.
[39]谢桂芳.SPARQL-一种新型的RDF查询语言.湘南学院学报,2009,2,80-84.