一种混合的领域概念分类体系自动构建算法

领域概念分类体系自动构建在人工智能、自然语言处理和信息检索等领域具有重要作用,但现有研究较多关注通用知识,面向特定领域的研究较少,且存在领域概念间关系抽取准确率以及自动构建算法效率较低等问题。为此,提出一种混合的领域概念分类体系自动构建算法,该算法主要包括领域概念间关系抽取模块和分类体系构建模块。领域概念间关系抽取模块设计考虑中文自身的特点,采取句法树和基于规则相结合的方法,以提高抽取领域概念间关系的查准率和查全率;分类体系构建模块设计采取改进的BRT算法,从而在降低算法复杂度的同时,提高领域分类体系构建的查准率。在通信、金融和计算机领域的实验结果均表明,与BRT算法相比,该算法的构建效果较好,查准率最高可达到89.3%。     

基于知识库分割的多知识库整合方法

知识库是集团企业云制造平台中知识服务的重要基础,知识库的质量直接决定着知识服务的质量。目前单一分散的知识库不能提供统一的知识资源全局视图,不利于知识资源的共享。多知识库整合技术已经成为该领域的研究热点之一。提出一种基于知识库分割的多知识库整合方法,采用基于蚁群聚类的分割策略,将知识库有效划分为知识块集。在知识块间利用语义概念映射生成知识块间映射图,从而实现多知识库整合。通过对算法的时间复杂度进行分析,表明该方法在时间复杂度方面要优于基于最小概念集的多知识库整合方法;实验结果也表明该方法在运行性能方面明显优于已有的方法。     

Ontology-based similarity for product information retrieval

Product development of today is becoming increasingly knowledge intensive. Specifically, design teams face considerable challenges in making effective use of increasing amounts of information. In order to support product information retrieval and reuse, one approach is to use case-based reasoning (CBR) in which problems are solved “by using or adapting solutions to old problems.” In CBR, a case includes both a representation of the problem and a solution to that problem. Case-based reasoning uses similarity measures to identify cases which are more relevant to the problem to be solved. However, most non-numeric similarity measures are based on syntactic grounds, which often fail to produce good matches when confronted with the meaning associated to the words they compare. To overcome this limitation, ontologies can be used to produce similarity measures that are based on semantics. This paper presents an ontology-based approach that can determine the similarity between two classes using feature-based similarity measures that replace features with attributes. The proposed approach is evaluated against other existing similarities. Finally, the effectiveness of the proposed approach is illustrated with a case study on product–service–system design problems.     

An approach for selecting seed URLs of focused crawler based on user-interest ontology

Seed URLs selection for focused Web crawler intends to guide related and valuable information that meets a user's personal information requirement and provide more effective information retrieval. In this paper, we propose a seed URLs selection approach based on user-interest ontology. In order to enrich semantic query, we first intend to apply Formal Concept Analysis to construct user-interest concept lattice with user log profile. By using concept lattice merger, we construct the user-interest ontology which can describe the implicit concepts and relationships between them more appropriately for semantic representation and query match. On the other hand, we make full use of the user-interest ontology for extracting the user interest topic area and expanding user queries to receive the most related pages as seed URLs, which is an entrance of the focused crawler. In particular, we focus on how to refine the user topic area using the bipartite directed graph. The experiment proves that the user-interest ontology can be achieved effectively by merging concept lattices and that our proposed approach can select high quality seed URLs collection and improve the average precision of focused Web crawler.     

云模型在测井曲线分层中的应用

针对由模糊信息导致测井曲线人工分层的不准确,提出了一种基于云模型的测井曲线自动分层方法.而云模型能同时体现概念的随机性和模糊性,利用云变换从测井曲线中提取定性概念,然后对提取的概念进行概念跃升,使得算法输出的概念层次更符合实际.实验表明,该方法能够较准确地提取和表征定性概念,所提取的概念中心与传统测井曲线分层方法得到的概念中心吻合较好,验证了算法的有效性,提高了测井曲线分层的准确性.     

双序渐进式概念格合并算法

针对传统的概念格合并算法仅为单向的纵向或横向合并,提出一种基于概念内涵、外延升降序的双序渐进式合并算法。按照概念的内涵或外延的升序和降序,从两个方向(由上到下和由下到上)同时进行子概念格的纵向或横向合并。算法分析和示例结果表明,该算法不仅在结构上较好地保留了原有信息,而且在效率上也获得了显著的提高。     

源于自然的服装设计

大自然是人类生活的基础,自然界中的各种事物为服装设计师提供了取之不竭的灵感来源。从设计的形式、风格、理念三个方面分析自然对服装设计的启示,并以此指导服装设计的实践活动。自然这个主题一直以不同的方式出现在各种形态的服饰文明中,对自然生活的渴望、对无拘无束人生的向往、对自然清晰的认识与创造、对科技客观的评价与把握、对精神空间的深层探寻、对古老文明的继承和反思等等都是我们设计服装的最初的理念。     

论和谐社会下的高校管理创新

和谐社会的背景下,高等院校肩负研究、传承和引领和谐文化建设的重任.本文从和谐文化建设出发,阐述了高校管理理念、模式、制度、教学体制和教学方法等方面的创新.围绕和谐校园主题,树立和谐管理理念,建立和谐校园内部结构,营造和谐的管理环境,实现由刚性管理向柔性管理的转变.     

关于著作权法中建筑作品概念的探讨

介绍建筑作品保护的由来及发展,分析对比各国际组织和几个主要国家的立法中关于建筑作品的相关规定,在此基础上,力图对建筑作品的内涵和外延有个较为科学的界定,进而对我国著作权法中建筑作品概念的表述加以完善。     

基于准粘聚力理论的加筋土挡墙土压力分析

考虑拉筋存在的影响,对不同破坏形式下的加筋土强度理论进行探讨,应用准粘聚力理论,提出两种不同破坏形式的加筋土挡墙墙背土压力计算公式。研究结果表明：拉断破坏下的加筋土粘聚力具有增量;粘着破坏下的加筋土内摩擦角具有增量;所提出的加筋土挡墙墙背侧向土压力比经典土压力和变系数法都小;不管是拉断破坏,还是粘着破坏,加筋土挡墙侧向土压力都随拉筋垂直间距增加而增加;拉断破坏下,加筋土挡墙侧向土压力随拉筋抗拉强度增加而减小;与土工格栅加筋土挡墙试验数据基本一致,粘着破坏法比实测值大。