基于OWL Lite的语义元数据安置技术研究     

廖述梅 《科技广场》2004,(10):53-55

在Web页中安置语义元数据是将当前Web内容“提升”为语义Web内容的关键。本文着重讨论语义元数据安置插件的设计，首先论述了静态Web页中语义元数据安置的基本策略，然后结合W3C推荐的Web本体语言OWL规范，给出了语义元数据安置策略的OWL Lite的语法实现。  相似文献   

Google Scholar coverage of a multidisciplinary field     

William H. Walters 《Information processing & management》2007

This paper evaluates the content of Google Scholar and seven other databases (Academic Search Elite, AgeLine, ArticleFirst, GEOBASE, POPLINE, Social Sciences Abstracts, and Social Sciences Citation Index) within the multidisciplinary subject area of later-life migration. Each database is evaluated with reference to a set of 155 core articles selected in advance—the most important studies of later-life migration published from 1990 to 2000. Of the eight databases, Google Scholar indexes the greatest number of core articles (93%) and provides the most uniform publisher and date coverage. It covers 27% more core articles than the second-ranked database (SSCI) and 2.4 times as many as the lowest-ranked database (GEOBASE). At the same time, a substantial proportion of the citations provided by Google Scholar are incomplete (32%) or presented without abstracts (33%).  相似文献   

QCS: A system for querying, clustering and summarizing documents     

Daniel M.  Dianne P.  John M.  Judith D.   《Information processing & management》2007,43(6):1588

Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particular component would behave across multiple systems. We present a novel integrated information retrieval system—the Query, Cluster, Summarize (QCS) system—which is portable, modular, and permits experimentation with different instantiations of each of the constituent text analysis components. Most importantly, the combination of the three types of methods in the QCS design improves retrievals by providing users more focused information organized by topic.We demonstrate the improved performance by a series of experiments using standard test sets from the Document Understanding Conferences (DUC) as measured by the best known automatic metric for summarization system evaluation, ROUGE. Although the DUC data and evaluations were originally designed to test multidocument summarization, we developed a framework to extend it to the task of evaluation for each of the three components: query, clustering, and summarization. Under this framework, we then demonstrate that the QCS system (end-to-end) achieves performance as good as or better than the best summarization engines.Given a query, QCS retrieves relevant documents, separates the retrieved documents into topic clusters, and creates a single summary for each cluster. In the current implementation, Latent Semantic Indexing is used for retrieval, generalized spherical k-means is used for the document clustering, and a method coupling sentence “trimming” and a hidden Markov model, followed by a pivoted QR decomposition, is used to create a single extract summary for each cluster. The user interface is designed to provide access to detailed information in a compact and useful format.Our system demonstrates the feasibility of assembling an effective IR system from existing software libraries, the usefulness of the modularity of the design, and the value of this particular combination of modules.  相似文献   

土地资源开发的农业生态效益评价   总被引：19，自引：3，他引：19  

张殿发  卞建民吴文业 《资源科学》2001,23(2):26-30

该文论述了土地资源开发生态效益评价的目的和意义，建立了土地资源开发的生态效益评价指标体系，包括3方面：1、生态系统结构的合理性评价指标；2、生态系统功能评价指标；3、生态环境质量评价指标。采用分级综合评价法，即分两个层次进行评价研究；生态效益分类评价包括生态结构综合评价、环境质量综合评价和生态功能综合评价；生态效益总体综合评价。通过对吉林西部土地开发生态效益的综合评价，反映出评价指标体系的确定比较合理，选择的评价方法简便实用，得出的评价结果符合实际  相似文献   

一种基于语义的Web服务发现机制     

解丹  赵臻  蔡晓鸿 《中国科技信息》2007,(1):109-110

Web服务技术的兴起为网络使用提出了新的计算模型,构建基于面向服务体系结构(SOA)的应用是未来分布式计算的发展方向。在SOA所要解决的技术问题中,服务的自动发现是难点和关键。通过对服务发现技术的分析,文章提出了一种基于OWL-S的Web服务发现体系结构,对现有统一描述、发现和集成框架进行扩展,引入语义描述,以完成服务的自动发现。  相似文献   

Improving query precision using semantic expansion     

Ahmed Abdelali  Jim Cowie  Hamdy S. Soliman 《Information processing & management》2007

Query Expansion (QE) is one of the most important mechanisms in the information retrieval field. A typical short Internet query will go through a process of refinement to improve its retrieval power. Most of the existing QE techniques suffer from retrieval performance degradation due to imprecise choice of query’s additive terms in the QE process. In this paper, we introduce a novel automated QE mechanism. The new expansion process is guided by the semantics relations between the original query and the expanding words, in the context of the utilized corpus. Experimental results of our “controlled” query expansion, using the Arabic TREC-10 data, show a significant enhancement of recall and precision over current existing mechanisms in the field.  相似文献   

Reinforcement learning-driven deep question generation with rich semantics     

《Information processing & management》2023,60(2):103232

  相似文献   

我国专项规划评估的现状、理论方法及评估制度保障     

徐铭辰 《科技管理研究》2019,39(3)

当前,我国专项规划评估尚处于初步发展阶段,面临评估主体单一、评估指标不完善、动态评估不充分、评估公正度不足等多方面问题,缺少合理的评估方法和完善合理的评估制度,一定程度上影响了我国专项规划制定、执行、修订的效率效益。为此,本文构建了以“价值——目标——手段——效果”为指导的、自上而下的金字塔式评估框架及方法。同时,为充分发挥专项规划评估的积极作用,应强化我国专项规划制度体系建设,加大力度建立多主体参与机制、多指标评估机制、动态反馈机制、第三方评估机制,从而更好地规范专项规划制定、实施、再修订等相关环节,发挥专项规划对经济、社会发展的引领和促进作用。  相似文献   

“双一流”建设背景下学科可持续发展度评价指标体系构建     

蔡三发  任士雷  王倩 《复旦教育论坛》2020,18(2):86-92

是否高质量、可持续发展是学科建设的核心问题,学科可持续发展度是表征学科高质量、可持续发展的程度。从教育系统工程的视角,应用层次分析法基本原理建构学科可持续发展度层次分析模型,确定学科可持续发展度指标体系,将成对比较判断矩阵的特征向量作为学科可持续发展度评价指标的权重,确定相关评价指标的影响力排序。结果分析表明,学科方向前沿引领性、学科科研平台、学科团队协同能力、学科社会服务能力、国际交流与合作、学科研究生质量等是影响学科可持续发展度的主要因素。由此可见,注重学科方向的前沿引领,强化学科科研平台和学科团队协同能力建设,增强学科社会服务能力,扩大国际交流合作,提高学科研究生质量等是提高学科可持续发展度的重要措施。  相似文献   

词的形象色彩论析     

刘玉屏 《襄樊学院学报》2002,23(3):40-44

词的形象色彩是由词的外在形式传达出来的，关于词的指称对象的形象信息，这种形象信息是固定的，全社会共通的，与形象色彩易混的事物有两类：一是与之同属色彩义的感情色彩和语体色彩，二是一些指称有形事物但无形象色彩的词所唤起的形象联想，前与形象色彩的区别在于：1．传达出的语义信息的类型不同；2．来源不同，后与形象色彩的区别在于：1．词形中是否带有表示形象的部分；2．所唤起的关于词的指称对象形象的联想是否是全民族共通的，有形象色彩的词在外的主要特点：有形象色彩的词在词形上至少有一部分是用来表示形象的，有形象色彩的词所唤起的关于词的指称对象形象的联想是全民族共通的，有形象色彩的词具有从形象上对指称对象定位，使词义具体化，使语言表达生动化，形象化等形象色彩的功能。  相似文献