共查询到19条相似文献,搜索用时 187 毫秒
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本文探讨了如何利用领域文本集来自动构建领域本体的技术,以辅助知识工程师方便快捷地构建领域本体.文中提出一种利用概念之间的语义相似度,通过蚁群聚类算法对概念集进行聚类,最后利用知网的义原层次结构抽取分类关系的算法,通过非对称簇分析函数评价概念间的关联度,以提取非分类关系,最终生成领域本体.实验证明了该本体学习系统的有效性. 相似文献
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面向供需网协同管理的企业知识建模研究* 总被引:1,自引:0,他引:1
为了在供需网环境下实现企业知识的协同管理,提出了供需网企业知识本体(SDNKO)的概念,根据SDNKO的多粒度特性,将SDNKO的概念空间划分为元概念层、领域模型层和应用实例层。在分析元概念类的层次结构和概念类的关联集后,针对电梯行业领域的企业知识本体概念空间进行了详细的说明。为表达供需网的协同知识语义,阐述了SDNKO概念框架的巴科斯范式和文档类型定义。最后,给出了供需网企业产品订单生成的知识协同管理实例。 相似文献
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针对新闻社区领域知识的特点,以新闻社区领域知识的网络应用为目的,根据新闻社区领域本体总体构建流程,采用半自动化构建本体的方法,以通用本体WordNet及ODP开放式目录中不同层次的新闻主题分类为基础,按照媒体流程展开本体概念结构,构建了面向新闻网站应用的新闻社区领域顶层和中层本体模型。利用本体构建工具Protégé4.1开发了新闻社区领域本体。 相似文献
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基于本体及相似度的文本聚类研究* 总被引:1,自引:0,他引:1
为了改善文本聚类的质量,得到满意的聚类结果,针对文本聚类忽略概念的内涵及缺少概念间的联系,设计和改进了基于本体和相似度的文本聚类方法TCBOS(text clustering based on ontology and similarity)。研究了文本预处理及分词的方法,设计了用有限状态自动机来自动提取概念和关系的方法,对概念语义扩展和相似度计算方法进行了改进和完善,通过应用本体的语义相似度来度量文档间相近程度,完善了根据相似度进行文本聚类的K中心点算法。实验证明,该方法从聚类的准确性和聚类的关联度方 相似文献
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《计算机应用与软件》2014,(8)
农业领域本体的构建将为农业垂直搜索引擎提供知识组织基础。在对本体构建技术进行深入研究的基础上,设计实现基于文献的农业领域本体构建方法。使用Web数据抽取技术获取农业文献,通过对文献分词和清洗,自动提取领域概念,并用关联分析和改进的层次聚类发现领域概念间关系,构建农业领域本体。通过实验验证,该方法提高了领域概念间关系聚类效果和领域本体构建效果。最后加以应用实施,实现了基于本体的农业垂直搜索引擎。 相似文献
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Relational Database (RDB) has been widely used as the back-end database of information system. Contains a wealth of high-quality information, RDB provides conceptual model and metadata needed in the ontology construction. However, most of the existing ontology building approaches convert RDB schema without considering the knowledge resided in the database. This paper proposed the approach for ontology extraction on top of RDB by incorporating concept hierarchy as background knowledge. Incorporating the background knowledge in the building process of Web Ontology Language (OWL) ontology gives two main advantages: (1) accelerate the building process, thereby minimizing the conversion cost; (2) background knowledge guides the extraction of knowledge resided in database. The experimental simulation using a gold standard shows that the Taxonomic F-measure (TF) evaluation reaches 90% while Relation Overlap (RO) is 83.33%. In term of processing time, this approach is more efficient than the current approaches. In addition, our approach can be applied in any of the fields such as eGoverment, eCommerce and so on. 相似文献
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Ana B. Rios-Alvarado Ivan Lopez-Arevalo Victor J. Sosa-Sosa 《Expert systems with applications》2013,40(15):5907-5915
Ontologies play a very important role in knowledge management and the Semantic Web, their use has been exploited in many current applications. Ontologies are especially useful because they support the exchange and sharing of information. Ontology learning from text is the process of deriving high-level concepts and their relations. An important task in ontology learning from text is to obtain a set of representative concepts to model a domain and organize them into a hierarchical structure (taxonomy) from unstructured information. In the process of building a taxonomy, the identification of hypernym/hyponym relations between terms is essential. How to automatically build the appropriate structure to represent the information contained in unstructured texts is a challenging task. This paper presents a novel method to obtain, from unstructured texts, representative concepts and their taxonomic relationships in a specific knowledge domain. This approach builds a concept hierarchy from a specific-domain corpus by using a clustering algorithm, a set of linguistic patterns, and additional contextual information extracted from the Web that improves the discovery of the most representative hypernym/hyponym relationships. A set of experiments were carried out using four different corpora. We evaluated the quality of the constructed taxonomies against gold standard ontologies, the experiments show promising results. 相似文献
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面向认知协作的知识流分析与研究 总被引:7,自引:0,他引:7
为了有效地对认知科学中基于群学习方式的认知协作进行研究,首先探讨了基于本体描述的认知基础环境,对知识驱动的认知环境所涉及的一些基本概念进行了定义.进而,基于本体论思想,对支持认知协作的知识应用集成环境进行了探讨.在此基础上,对知识流关系进行了形式化定义,并利用Markov决策过程理论分析研究了知识应用集成环境下协同认知的过程逻辑.最后,对全文进行了总结并提出了进一步的研究方向. 相似文献
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成永常 《电脑与微电子技术》2012,(11):36-40
介绍当代移动学习的特点和语义网本体技术,提出利用本体技术来适应移动学习的片段式学习方式要求,并以《数据结构》课程为例阐述课程知识本体库的具体构建过程.为其在移动学习系统中的应用打下研究基础。 相似文献
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Ontology is playing an increasingly important role in knowledge management and the Semantic Web. This study presents a novel episode-based ontology construction mechanism to extract domain ontology from unstructured text documents. Additionally, fuzzy numbers for conceptual similarity computing are presented for concept clustering and taxonomic relation definitions. Moreover, concept attributes and operations can be extracted from episodes to construct a domain ontology, while non-taxonomic relations can be generated from episodes. The fuzzy inference mechanism is also applied to obtain new instances for ontology learning. Experimental results show that the proposed approach can effectively construct a Chinese domain ontology from unstructured text documents. 相似文献
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映射效率对于动态映射的应用至关重要,因此文中提出基于模块化的大规模本体映射方法。通过加权的基于距离和基于信息量的方法计算本体概念的相似度,利用改进的凝聚层次聚类算法对概念进行聚类,并以此抽取子本体,最后设计基于信息检索的技术发现异构本体中的相关子本体。该方法有效缩小候选匹配的搜索空间,达到减少时间复杂度的目的。实验表明,文中方法可在保证映射结果质量的同时提升映射效率。 相似文献