共查询到20条相似文献，搜索用时 78 毫秒
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研究了基于语义Web的数字图书馆应用,从语义Web和数字图书馆的角度,分析了基于语义Web的数字图书馆.通过将语义Web技术RDF、OWL等关键技术应用到数字图书馆的资源层、元数据层、本体层以及应用层,找出了应用的主体以及方式,并根据在实际应用过程产生的问题提出了相应解决的建议. 相似文献
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从概念集的定义出发，讨论了它的内涵及其在信息科学中的应用。在此基础上，着重分析了概念集在语义Web技术体系中所处的位置，并通过OWL语言来描述在语义Web构建概念集的方法和过程。 相似文献
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多媒体元数据的语义集成和检索 总被引：2，自引：0，他引：2
基于从XML Schema到web本体映射的XML20WL映射和从XML到RDF映射的XML2RDF映射而建立的MPEG-7对OWL完整而自动的映射，把多媒体元数据应用于语义网，从低层描述符提取基于内容的高层描述符，由此产生显性语义元数据及构成多媒体语义元数据集成的基本本体框架的MPEG-7 OWL本体，从而实现对MusicBrainz模式、Simac音乐本体等三种不同音乐模式的多媒体元数据进行语义集成及语义检索。 相似文献
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基于共享本体OWL的语义Web研究 总被引：2，自引：0，他引：2
语义Web是Web未来的发展趋势。本体技术提供了语义Web描述词汇的精确定义,为真正实现Web信息的语义表示奠定了基础。探讨了基于共享本体的OWL在语义Web中的信息描述和定义。并展望了语义Web的应用前景及今后研究的方向。 相似文献
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语义Web上DC元数据的描述及抽取技术 总被引：3，自引：2，他引：3
本文对语义Web上DC元数据的描述方法进行了分析研究。指出经XML和RDF／XML描述后的DC元数据具有了语义标注，在网络资源抓取器、XML解析器和XML包扫描器等协同工作下，可实现语义网上数据的自动抽取功能。 相似文献
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电子政务互操作技术是实现电子政务信息共享的关键，目前对电子政务互操作技术的研究还主要集中在语法层次上，而对语义互操作的研究还处于起步阶段。本文从元数据、知识本体和语义Web的角度初步讨论了如何解决电子政务领域的语义互操作问题，并提出了一种电子政务语义信息交换的参考模型。[编者按] 相似文献
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Web服务是Web上信息和数据集成的有效机制。本文阐述了语义Web服务的相关概念,给出了语义Web报务的理论框架,并通过实例介绍了语义Web服务的实现方法。两者的结合将为下一代网络提供更为广阔的发展前景。 相似文献
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On the Semantic Web, the types of resources and the semantic relationships between resources are defined in an ontology. By using that information, the accuracy of information retrieval can be improved. 相似文献
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针对传统信息检索方法的缺点提出了基于语义目录的个性化检索模型,说明了其原理、工作流程及关键技术。与传统的信息检索方法相比,该模型不仅在查准率和查全率方面都有所提高,还能根据用户需要完成个性化的信息检索。 相似文献
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RSS: A framework enabling ranked search on the semantic web 总被引：1，自引：0，他引：1
The semantic web not only contains resources but also includes the heterogeneous relationships among them, which is sharply distinguished from the current web. As the growth of the semantic web, specialized search techniques are of significance. In this paper, we present RSS—a framework for enabling ranked semantic search on the semantic web. In this framework, the heterogeneity of relationships is fully exploited to determine the global importance of resources. In addition, the search results can be greatly expanded with entities most semantically related to the query, thus able to provide users with properly ordered semantic search results by combining global ranking values and the relevance between the resources and the query. The proposed semantic search model which supports inference is very different from traditional keyword-based search methods. Moreover, RSS also distinguishes from many current methods of accessing the semantic web data in that it applies novel ranking strategies to prevent returning search results in disorder. The experimental results show that the framework is feasible and can produce better ordering of semantic search results than directly applying the standard PageRank algorithm on the semantic web. 相似文献
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This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages. 相似文献
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【目的】梳理国内外语义出版的理论研究进展,以厘清下一步语义出版的理论研究方向。【方法】 围绕语义出版的对象范畴、表现形式、实现方法、价值功效等理论要素对中外文献进行统计、对比和综合分析,总结现有理论研究的共性特征及其中存在的问题。【结果】 语义出版的研究对象从以学术期刊为载体的论文资源,扩展至图书、学位论文等形式的文献型学术资源,乃至数据型、媒体型、工具型学术资源;表现形式侧重于不同资料、事件、人物、术语、记录等实体对象的抽取、链接和集成,构建科学知识的语义关系及其构成的知识网络;实现方法涉及语义出版框架模型、语义标准、语义技术、语义工具、语义描述等;具有知识价值、商业价值和产业价值。【结论】 理论研究层面的语义出版在概念界定、方法适用性、服务体系等方面还需进一步探讨。 相似文献
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In existing unsupervised methods, Latent Semantic Analysis (LSA) is used for sentence selection. However, the obtained results are less meaningful, because singular vectors are used as the bases for sentence selection from given documents, and singular vector components can have negative values. We propose a new unsupervised method using Non-negative Matrix Factorization (NMF) to select sentences for automatic generic document summarization. The proposed method uses non-negative constraints, which are more similar to the human cognition process. As a result, the method selects more meaningful sentences for generic document summarization than those selected using LSA. 相似文献
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本文首先在分析了WSDL和OWL-S不足的基础上,提出一种基于语义的二维Web服务描述模型,分别从语法和语义两个层面来描述Web服务的属性.其次在此基础上设计了一种语义Web的发布及发现系统架构.最后在J2EE+Protege3.2.1+OWL-S Editor的实验平台上验证了此系统架构. 相似文献
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【目的】 科学出版物的语义化过程中产生了大量的语义数据,分析这些语义数据的特征可以为语义出版实践提供参考和借鉴。【方法】 通过收集目前常用的典型科学出版物语义数据,多角度分析这些数据集的类型、组成要素、生成流程及其支持的应用系统功能,总结这些语义数据在开发、开放、发布中的共性。【结果】 目前主流的科学出版物语义数据集具有相似的数据开发与组织流程,偏向于自然科学领域,具有不同的组织粒度及应用特点。【结论】 科学出版物语义数据的生产与应用仍面临诸多挑战,需要在数据的规范使用、数据本身的质量以及基于这些数据的服务上予以重视。 相似文献
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《Information processing & management》2023,60(2):103202
Wikipedia links its articles by manually defined semantic relations called the Wikipedia hyperlink (link) structure. The existing Wikipedia link-based semantic similarity (SS) and semantic relatedness (SR) computation models, such as Wikipedia one-way link (WOLM) model and Wikipedia two-way link (WTLM) model, do not assess the strengths of the relationships between a candidate concept and its links (out-links or in-links). These models treat all the links as equally important even though some links are semantically more influential than others and should be given more importance. This phenomenon reduces the accuracy of these models. This paper presents the Wikipedia bi-linear link (WBLM) model that extends the previously proposed WOLM and WTLM models. The WBLM model explores the Wikipedia link structure as a semantic graph and discovers the strongly (bi-linear links) and weakly (out-links or in-links) connected links of a candidate concept. It improves the link-based vector representations of concepts by assigning weights to their connected links according to the strengths of their semantic associations. The experimental results demonstrate that the proposed WBLM model significantly improves the SS and SR computation accuracy of the WOLM model (6.9%, 8%, 24%, 17.3%, 31.2%, 30.6%, 26.5%, and 35.4%) and WTLM model (1.2%, 3.9%, 7.1%, 9.9%, 11%, 6.3%, 12.7%, and 13%), in terms of linear correlations with human judgments on gold standard benchmarks, including MC30, RG65, WS203, SimLex, 353All, MTurk287, MTurk771, and MEN3000, respectively. Moreover, this research offers a deep insight into the Wikipedia link structure and provides an adequate base for understanding it as a semantic graph. 相似文献