基于模糊聚类的制造云服务语义自动标注技术

制造云服务语义自动标注技术是基于语义的制造云服务组合中涉及的关键技术之一。采用Web服务语义自动标注作为制造云服务语义描述的实现技术,针对制造云服务语义自动标注的本体域定位问题,提出了基于模糊聚类思想的制造云服务本体域定位算法FCDST-DOD,有效地解决了制造云服务本体域定位问题,实现制造云服务的语义自动描述,提高了Web服务语义自动标注的效率和质量。     

Individual and team annotation effects on students’ reading comprehension,critical thinking,and meta-cognitive skills

Many students enter college without the needed skills to be successful. Colleges and universities are seeking instructional interventions to address these needs. Various classes are leveraging web-based social media to provide new instructional technologies that will help students learn. This paper reports on two studies related to the potential of online social annotation for improving teaching and learning in second-semester Freshman English classes. The approach, referred to as the Social Annotation Model-Learning System (SAM-LS), combines various instructional strategies, team-based learning, and a social annotation computer-supported collaborative learning tool, HyLighter, to increase student engagement with selected essays and with classmates. SAM-LS stimulates students to actively monitor their thoughts and compare them to both peers and the instructor (or domain experts). Study 1 showed no significant difference between the SAM-LS approach and a control; however, results appear to be related to confounding factors. Study 2 showed that students achieve better outcomes on measures of reading comprehension and meta-cognitive skill, but not critical thinking, when SAM-LS activities include small team collaborations. The two studies suggest future directions for research and development of SAM-LS and the HyLighter tool.     

Immediate usability: a case study of public access design for a community photo library

This paper describes a novel instantiation of a digital photo library in a public access system. It demonstrates how designers can utilize characteristics of a target user community (social constraints, trust, and a lack of anonymity) to provide capabilities, such as unrestricted annotation and uploading of photos, which would be impractical in other types of public access systems. It also presents a compact set of design principles and guidelines for ensuring the immediate usability of public access information systems. These principles and guidelines were derived from our experience developing PhotoFinder Kiosk, a community photo library. Attendees of a major HCI conference (CHI 2001 Conference on Human Factors in Computing Systems) successfully used the tool to browse and annotate collections of photographs spanning 20 years of HCI-related conferences, producing a richly annotated photo history of the field of human–computer interaction. Observations and usage log data were used to evaluate the tool and develop the guidelines. They provide specific guidance for practitioners, as well as a useful framework for additional research in public access interfaces.     

Finding association rules in semantic web data

The amount of ontologies and semantic annotations available on the Web is constantly growing. This new type of complex and heterogeneous graph-structured data raises new challenges for the data mining community. In this paper, we present a novel method for mining association rules from semantic instance data repositories expressed in RDF/(S) and OWL. We take advantage of the schema-level (i.e. Tbox) knowledge encoded in the ontology to derive appropriate transactions which will later feed traditional association rules algorithms. This process is guided by the analyst requirements, expressed in the form of query patterns. Initial experiments performed on semantic data of a biomedical application show the usefulness and efficiency of the approach.     

信息处理用现代维吾尔语词干词类标记集研究

阐述了研究与制定"现代维吾尔语词干词类标注标记集"必要性,讨论只靠语法角度提出的一类词干"现代维吾尔语词干词类标注标记集"有限性;论述了通过吸收国内外英语、汉语层次分析研究的最新成果,结合现代维吾尔语词干的本身特点研究现代维吾尔语词干语法语义分类体系迫切性;讨论信息处理用现代维吾尔语一类、二类、三类和四类词干词类标记规范。     

多媒体注释与二语阅读理解——基于多媒体认知学习理论的实证研究

以中国英语学习者为对象,以多媒体认知学习理论为支撑,针对不同模式的多媒体注释对二语阅读理解的影响进行实证研究。数据分析结果表明：中国学生对文本注释选择的倾向性优于图片注释和音频注释;图片注释对阅读理解的影响较文本注释和音频注释更为显著;双重多媒体注释比单一多媒体注释对阅读理解的影响更显著。     

基于草图的超视频构造方法及关键技术研究

由于视频媒体信息的线性结构特点,人们很难快速获取视频主要内容.利用视频资源构造超视频常需要借助复杂的计算机视觉技术,这给用户带来很大的认知与操纵负担.传统的基于时间轴或基于视频帧的交互方式在一定程度满足了视频的可操纵性,但仍不能有效辅助用户基于视频语义自然高效地组织与编辑视频,进而形成超视频媒体.针对这一问题,归纳了视频交互任务的类型及特点,分析了超视频媒体构造过程中的交互任务及相适应的草图用户界面,根据草图所表征的视频语义层次的不同,提出了情景草图与注释草图相结合的超视频构造方法并研究了相应的支撑技术,力求为超视频的构造提供简单、自然的交互方式.最后给出示例说明了如何利用草图有效地表征视频资源之间的语义关系进而构造面向视频语义的超视频.     

基于纹理信息的室内场景语义标注学习方法

针对目前室内场景视频中关键物体的检测、跟踪及信息编辑等方面主要是采用人工处理方式,存在效率低、精度不高等问题,提出了一种基于纹理信息的室内场景语义标注学习方法。首先,采用光流方法获取视频帧间的运动信息,利用关键帧标注和帧间运动信息进行非关键帧的标注初始化;然后,利用非关键帧的图像纹理信息约束及其初始化标注构建能量方程;最后,利用图割方法优化得到该能量方程的解,即为非关键帧语义标注。标注的准确率和视觉效果的实验结果表明,与运动估计法和基于模型的学习法相比较,所提基于纹理信息的室内场景语义标注学习法具有较好的效果。该方法可以为服务机器人、智能家居、应急响应等低时延决策系统提供参考。