共查询到20条相似文献,搜索用时 562 毫秒
1.
The diagnosis is complex in domains where processes occur over time inside systems or objects, changing and affecting other processes and characteristics. A large number of knowledge‐based systems have been developed to increase the efficiency of the diagnostic process. But the models of knowledge of such systems do not simultaneously take into account all types of temporal relationships: changes in the values of attributes over time, taking into account the time intervals that have passed from the moments when the process began to develop and external influences, and so forth. The article considers the universal ontology of knowledge about the diagnosis of processes in various domains as a generalization and the result of many years of experience of the authors in the creation of intelligent systems for the diagnosis of processes. The ontology allows us to formalize anomalies as developing internal processes that are not inherent in a normally functioning system. On its basis (in its terms) knowledge bases and software components for decision support systems are constructed. In the case of a need for a domain‐oriented ontology, it will only be necessary to redefine some concepts and relations which are features of specific domains. 相似文献
2.
3.
Ontologies have become a popular means of knowledge sharing and reuse. This has motivated development of large independent ontologies within the same or different domains with some overlapping information among them. In order to match such large ontologies, automatic matchers become an inevitable solution. This work explores the use of a predictive statistical model to establish an alignment between two input ontologies. We demonstrate how to integrate ontology partitioning and parallelism in the ontology matching process in order to make the statistical predictive model scalable to large ontology matching tasks. Unlike most ontology matching tools which establish 1:1 cardinality mappings, our statistical model generates one-to-many cardinality mappings. 相似文献
4.
5.
In order to perform ontology matching with high accuracy, while at the same time retaining applicability to most diverse input ontologies, the matching process generally incorporates multiple methods. Each of these methods is aimed at a particular ontology component, such as annotations, structure, properties or instances. Adequately combining these methods is one of the greatest challenges in designing an ontology matching system. In a parallel composition of basic matchers, the ability to dynamically set the weights of the basic matchers in the final output, thus making the weights optimal for the given input, is the key breakthrough for obtaining first-rate matching performance. In this paper we present CroMatcher, an ontology matching system, introducing several novelties to the automated weight calculation process. We apply substitute values for matchers that are inapplicable for the particular case and use thresholds to eliminate low-probability alignment candidates. We compare the alignments produced by the matchers and give less weight to the matchers producing mutually similar alignments, whereas more weight is given to those matchers whose alignment is distinct and rather unique. We also present a new, iterative method for producing one-to-one final alignment of ontology structures, which is a significant enhancement of similar non-iterative methods proposed in the literature. CroMatcher has been evaluated against other state-of-the-art matching systems at the OAEI evaluation contest. In a large number of test cases it achieved the highest score, which puts it among the state-of-the-art leaders. 相似文献
6.
自20世纪90年代以来,本体逐渐被应用到很多领域,本体的构建方法论也成为国内外机构的热门研究课题。在分析和总结现有的本体构建经验的基础上,提出了一种领域本体的构建方法,它符合人们的思维认知规律,可操作性和扩展性强。并使用该方法为相片管理领域进行本体建模,实验表明了该方法的科学性和有效性。 相似文献
7.
8.
本体作为领域知识的表示方法,已经成为语义Web的基础。本体通常由领域专家建立,用于表示领域中概念以及概念与概念之间的关系。但这也使得普通用户难以理解本体中描述的信息。普通用户往往希望本体中的信息能够以自然语言的形式描述。这正是本文讨论的主要问题。本文采用分治策略,利用基于嵌套复杂模板的解决方案,设计并实现了本体知识文摘的算法。我们开发了一个原型系统SWARMS,并将该文摘算法进行了运用。初步的实验表明,本文提出的方法取得较好的结果。 相似文献
9.
The OAEI Benchmark test set has been used for many years as a main reference to evaluate and compare ontology matching systems. However, this test set has barely varied since 2004 and has become a relatively easy task for matchers. In this paper, we present the design of a flexible test generator based on an extensible set of alterators which may be used programmatically for generating different test sets from different seed ontologies and different alteration modalities. It has been used for reproducing Benchmark both with the original seed ontology and with other ontologies. This highlights the remarkable stability of results over different generations and the preservation of difficulty across seed ontologies, as well as a systematic bias towards the initial Benchmark test set and the inability of such tests to identify an overall winning matcher. These were exactly the properties for which Benchmark had been designed. Furthermore, the generator has been used for providing new test sets aiming at increasing the difficulty and discriminability of Benchmark. Although difficulty may be easily increased with the generator, attempts to increase discriminability proved unfruitful. However, efforts towards this goal raise questions about the very nature of discriminability. 相似文献
10.
军事领域本体构建研究 总被引:2,自引:0,他引:2
在仿真系统的研究过程中,面临军事领域知识获取及不同应用之间的互操作等问题.这些难题的背后实际是技术人员和军事人员之间理解一致性和机器之间理解一致性的问题.本体是关于事物本质的模型,已被广泛应用于知识分类、表达、共享及重用等方面.首先,讨论了本体的概念并给出了领域本体构建的一套通用原则和方法.然后详细分析了军事领域本体所包含的各方面知识元素,包括作战单元类、单元之间的关系、交战行为、交战规则、武器装备、作战计划等,并分别给出了它们的简单表示结构.最后概要讨论了多个本体合并时的本体检验问题.标准化的军事知识表示结构可以为技术人员和军事人员之间的交流提供统一的认识和参照,为机器之间的互操作提供一种"语言",从而消除理解上的冲突和混乱,为作战仿真系统的开发扫清了道路. 相似文献
11.
12.
Juana María Ruiz-Martínez Rafael Valencia-García Jesualdo Tomás Fernández-Breis Francisco García-Sánchez Rodrigo Martínez-Béjar 《Expert systems with applications》2011,38(10):12365-12378
The generation of new knowledge is continuous in biomedical domains, thus biomedical literature is becoming harder to understand. Ontologies provide vocabulary standardization, so they can be helpful to facilitate the understanding of biomedical texts. In this work, a methodology for building biomedical ontologies from texts is presented. This approach relies on natural language processing and incremental knowledge acquisition techniques to obtain the relevant concepts and relations to be included in an OWL ontology. Additionally, we provide an algorithm to connect the isolated concepts regions in the ontology using UMLS. We also discuss in this paper the experiment carried out to validate our approach and its positive results in terms of performance and scalability. 相似文献
13.
14.
本体演化管理研究 总被引:10,自引:0,他引:10
自W3C主席TimBerncrs-Lee首先提出了语义web的概念后,它正在成为计算机信息处理领域当前研究的热点之一。本体将在“语义Web”中起到至关重要的作用,它通过定义精确的共享术语,以提供某一特定领域可重用的知识。但是这些知识并不是静态的,而是随着时问的推移不断演化。领域的改变、自适应不同的任务、或概念模型的改变都要求本体的变更。随着本体开发变成一个泛化的、协同的过程,本体版本控制和演化管理已成为本体研完中一个重要的领域。本文首先对本体演化的原因和所带来的问题进行分析,然后讨论了本体演化管理的关键技术,着重强调了Web上本体标识和本体变化机制的定义,并对今后的研究工作进行了展望。 相似文献
15.
In this paper, we proposed a novel approach based on topic ontology for tag recommendation. The proposed approach intelligently generates tag suggestions to blogs. In this approach, we construct topic ontology through enriching the set of categories in existing small ontology called as Open Directory Project. To construct topic ontology, a set of topics and their associated semantic relationships is identified automatically from the corpus‐based external knowledge resources such as Wikipedia and WordNet. The construction relies on two folds such as concept acquisition and semantic relation extraction. In the first fold, a topic‐mapping algorithm is developed to acquire the concepts from the semantic of Wikipedia. A semantic similarity‐clustering algorithm is used to compute the semantic similarity measure to group the set of similar concepts. The second is the semantic relation extraction algorithm, which derives associated semantic relations between the set of extracted topics from the lexical patterns between synsets in WordNet. A suitable software prototype is created to implement the topic ontology construction process. A Jena API framework is used to organize the set of extracted semantic concepts and their corresponding relationship in the form of knowledgeable representation of Web ontology language. Thus, Protégé tool provides the platform to visualize the automatically constructed topic ontology successfully. Using the constructed topic ontology, we can generate and suggest the most suitable tags for the new resource to users. The applicability of topic ontology with a spreading activation algorithm supports efficient recommendation in practice that can recommend the most popular tags for a specific resource. The spreading activation algorithm can assign the interest scores to the existing extracted blog content and tags. The weight of the tags is computed based on the activation score determined from the similarity between the topics in constructed topic ontology and content of the existing blogs. High‐quality tags that has the highest activation score is recommended to the users. Finally, we conducted experimental evaluation of our tag recommendation approach using a large set of real‐world data sets. Our experimental results explore and compare the capabilities of our proposed topic ontology with the spreading activation tag recommendation approach with respect to the existing AutoTag mechanism. And also discuss about the improvement in precision and recall of recommended tags on the data sets of Delicious and BibSonomy. The experiment shows that tag recommendation using topic ontology results in the folksonomy enrichment. Thus, we report the results of an experiment mean to improve the performance of the tag recommendation approach and its quality. 相似文献
16.
面对当今军事仓储管理的发展现状,我军在仓储管理领域出现了诸如知识难于共享和重用、不同应用之间无法进行互操作等急需解决的问题。文章提出了一种优化了的构建领域本体的流程,并给出了利用protege工具构建军事仓储领域本体的详细过程。在所构建的领域本体的基础上,设计基于本体的信息集成系统模型,从而消除不同部门、不同系统、不同应用在理解上的冲突与混乱,为我军后勤保障建设提供良好的帮助。 相似文献
17.
Bernard Lefebvre Gilles Gauthier Serge Tadié Tran Huu Duc Hicham Achaba 《Applied Artificial Intelligence》2013,27(9-10):845-859
In this paper, we present a competence ontology for domain knowledge dissemination and retrieval services, which has been used in the MDKT project (Management and Dissemination of Knowledge in Telecommunication). The main objective of this project is to set up a computerized knowledge management system related to a specific domain in order to develop the human resources expertise for the needs of the enterprise. In the case of this project, the knowledge is about wireless networking and is expressed in digital documents. Among all the ontologies that implement the knowledge needed by the system, the competence ontology plays a key role. The competence ontology defines at a meta-level the concept of competence and its relationships with other concepts such as document or user. Its instantiation is used to characterize a user model and a document model. This knowledge organization makes it possible to infer which document, or more generally which domain knowledge information, is suitable for a given person or to whom specific domain knowledge information should be disseminated. 相似文献
18.
19.
《Expert systems with applications》2014,41(10):4867-4877
Ontology design for complex applications is quite a challenge. The quality of an ontology is highly dependent upon the capabilities of designers, and the collaborative design process is hampered by the difficulty of balancing the viewpoints of different designers. In this paper, we present a granular view of ontology: ontologies are granular, ontologies are granular approximations of conceptualizations and conceptual-relation granules of an ontology are ordered tuples. We then propose a corresponding granular ontology design approach. In our granular ontology design approach, the unified granular cognition level and hierarchies of sub-concepts are initialized before ontological terms are designed in detail, which reduces the subjective effects of the capabilities of designers. Our approach also introduces the idea of optimization to choose an optimal subset, which can best approximate the real concept domain, from the knowledge rule set presented by different domain experts. The optimal subset is chosen on the basis of the principle of granular ontology knowledge structure. 相似文献
20.
Several fields have created ontologies for their subdomains. For example, the biological sciences have developed extensive ontologies such as the Gene Ontology, which is considered a great success. Ontologies could provide similar advantages to the Modeling and Simulation community. They provide a way to establish common vocabularies and capture knowledge about a particular domain with community-wide agreement. Ontologies can support significantly improved (semantic) search and browsing, integration of heterogeneous information sources, and improved knowledge discovery capabilities. This paper discusses the design and development of an ontology for Modeling and Simulation called the Discrete-event Modeling Ontology (DeMO), and it presents prototype applications that demonstrate various uses and benefits that such an ontology may provide to the Modeling and Simulation community. 相似文献