共查询到20条相似文献，搜索用时 46 毫秒
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语义网格:语义网技术和网格的结合 总被引：5，自引：0，他引：5
由于网格缺乏机器可理解的语义，于是提出了结合网格、语义网和Web服务优点的语义网格概念。介绍了语义网、Web服务、网格和语义网格的概念，讨论了语义网格的框架、基本要求和未来面临的挑战。 相似文献
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【目的/意义】突发事件新闻具有连续性特征,现存的语义模型无法很好地表示这一特征,通过构建突发事
件新闻语义模型可以实现对这些连续性信息的深层次语义描述和利用。【方法/过程】本文根据由表及里的建模思
维,构建了一个突发事件新闻深层次语义描述本体模型。该模型分为元数据和内容语义两部分,内容语义部分以
事件为起点、以连续性情景和动作为核心。在对突发事件新闻案例进行语义描述的基础上,实现了语义检索、语义
推理、语义数据可视化分析等应用。【结果/结论】通过语义标注和应用实验,验证了该模型的可用性。【创新/局限】本
文提出的突发事件新闻本体模型,较好地解决了突发事件新闻连续性信息的语义标注问题。 相似文献
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文章提出两种Web环境下的语义挖掘模型,分别是基于语义标注的Web语义挖掘模型,即在语义标注的基础上实现智能化知识挖掘过程,获取高质量知识模式;基于本体映射的Web语义挖掘模型,即参照领域本体概念体系,运用本体映射技术,对所获取的知识模式进行语义修正.通过对语义分类模式的预测准确率、模型创建速度的实验对比分析,基于本体映射的Web语义挖掘模型所提出的算法略占优势. 相似文献
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柏纳李(Tim Berners-Lee)在2001年提出"语义网",指出语义网是当前WWW的扩展,网络中所有的信息都具有语义,可以实现机器可识别语义的数据的自动存取和利用,便于人和计算机之间的交互与合作.朝着这个方向,语义web门户的功能实现和建设技术成为了科研工作者研究语义网的平台和实现缩影.语义web门户基于本体技术,采用一系列的语义web技术实现了语义查询、语义浏览、语义发布和语义个性化.本文对语义web门户的含义进行了限定,在此基础上重点调研了相对完善的语义web门户的实践研究,对其发展脉络和发展特征进行了分析. 相似文献
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基于语义网的网络智能导航系统研究 总被引：1，自引：0，他引：1
针对网络智能导航不能根据用户的真实需求,将用户快速、准确地引领到目的地的情况,提出一种基于语义网的网络智能导航系统。通过建立网络信息语义模型和用户需求语义模型,在网络信息和用户之间构建导航语义网,将用户文字描述的具体需求准确理解并输入到导航语义网,在导航语义网中完整理解导航需求,准确实现用户对信息搜索的导航。 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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标注语料库中句子的语义信息应该要有一套完整的规范体系。文章通过利用汉语框架和框架元素体系进行标注,首先介绍基于汉语框架的语义标注方法的概念,接着从句法性能、短语类型和框架元素标注这三个方面对汉语框架语义标注的具体规则进行阐述;最后,通过与其他语义标注方法的比较,分析得出框架语义标注的特点。 相似文献
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从语义关系的定义域、值域和域间映射这三个内涵要素入手,基于WordNet中的语义域,一方面,统计得到WordNet中17个语义关系的定义域和值域的分布结果及其规律;另一方面,统计分析各个语义关系的域映射分布结果,从而归纳出了判断语义关系的客观规律。 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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一种智能型的信息检索方法:隐含语义索引法 总被引：3，自引：0，他引：3
介绍了一种新的自动索引和检索方法——隐含语义索引法。隐含语义索引法是一种全自动的智能索引方法，通过挖掘文本与词汇之间的隐含关系来达到提高检索效率的目的。 相似文献
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In this paper we present a theoretical model for understanding the performance of Latent Semantic Indexing (LSI) search and retrieval application. Many models for understanding LSI have been proposed. Ours is the first to study the values produced by LSI in the term by dimension vectors. The framework presented here is based on term co-occurrence data. We show a strong correlation between second-order term co-occurrence and the values produced by the Singular Value Decomposition (SVD) algorithm that forms the foundation for LSI. We also present a mathematical proof that the SVD algorithm encapsulates term co-occurrence information. 相似文献
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Semantic annotation of images is an important step to support semantic information extraction and retrieval. However, in a multi-annotator environment, various types of conflicts such as converting, merging, and inference conflicts could arise during the annotation. We devised conflict detection patterns based on different data, ontology at different inference levels and proposed the corresponding automatic conflict resolution strategies. We also constructed a simple annotator model to decide whether to trust a given piece of annotation from a given annotator. Finally, we conducted experiments to compare the performance of the automatic conflict resolution approaches during the annotation of images in the celebrity domain by 62 annotators. The experiments showed that the proposed method improved 3/4 annotation accuracy with respect to a naïve annotation system. 相似文献
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With the advent of various services and applications of Semantic Web, semantic annotation has emerged as an important research topic. The application of semantically annotated ontology had been evident in numerous information processing and retrieval tasks. One of such tasks is utilizing the semantically annotated ontology in product design which is able to suggest many important applications that are critical to aid various design related tasks. However, ontology development in design engineering remains a time consuming and tedious task that demands considerable human efforts. In the context of product family design, management of different product information that features efficient indexing, update, navigation, search and retrieval across product families is both desirable and challenging. For instance, an efficient way of retrieving timely information on product family can be useful for tasks such as product family redesign and new product variant derivation when requirements change. However, the current research and application of information search and navigation in product family is mostly limited to its structural aspect which is insufficient to handle advanced information search especially when the query targets at multiple aspects of a product. This paper attempts to address this problem by proposing an information search and retrieval framework based on the semantically annotated multi-facet product family ontology. Particularly, we propose a document profile (DP) model to suggest semantic tags for annotation purpose. Using a case study of digital camera families, we illustrate how the faceted search and retrieval of product information can be accomplished. We also exemplify how we can derive new product variants based on the designer’s query of requirements via the faceted search and retrieval of product family information. Lastly, in order to highlight the value of our current work, we briefly discuss some further research and applications in design decision support, e.g. commonality analysis and variety comparison, based on the semantically annotated multi-facet product family ontology. 相似文献
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基于本体的信息系统引论 总被引：5，自引：0，他引：5
Since Tim Bemers-Lee, current W3C chairman, first proposed the concept of Semantic Web, it is be-coming a hot topic in computer information processing area. Ontologies are playing a key role in the Semantic Web, ex-tending syntactic interoperability to semantic intemperability by providing a source of shared and precisely defined terms.The paper analyzes the requirement of information systems for ontology languages. The current popular ontology languages are also discussed. 相似文献
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The Semantic Web is one of the fastest developing fields within the Information and Communication Technology sector and, as such, under constant examination by scientists and IT professionals. This article aims to provide a better understanding of the applicability of Semantic Web tools and technologies in practice. This aim will be achieved by surveying the recommended and emerging W3C standards, presenting an overview of the state-of-the-art in the Semantic Web research in the European Union, analysing the W3C collection of Case studies and Use Cases, and discussing the extent of adoption of Semantic Web technologies. The overall technology maturity level assessment has shown that Semantic Web technologies are finding their ways into real-world applications, and that, rather than being merely a fashionable research issue, the Semantic Web, slowly but surely, becomes our reality. 相似文献