Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation

Participation in and adding content to social tagging tools is important for these tools to achieve their purpose of classifying and organizing information. Users of social tagging tools are driven to participate and add tags by extrinsic and intrinsic motivation. Extrinsic motivation is dominating research as a main predictor of why users use information systems. Social tagging tools, as a subset of social media tools, are distinguished by their unique social aspect that makes intrinsic motivation a potential driver for users to add tags to content. Intrinsic motivation, when applied to social tagging tools, could entail many shades that represent different users’ motives for using such tools. In this paper, we add a rich concept of intrinsic motivation to include hedonism as a main predictor of users’ behavior on social tagging tools. We empirically validate a previously proposed theoretical model of three dimensional concepts of hedonism with three components describing individuals’ hedonic state when interacting with social tagging tools: explorability, curiosity, and enjoyment. After a robust and thorough data analysis using structured equation modeling, the results confirm our theoretical model and suggest using a richer concept of enjoyment to reflect a hedonic dimension when investigating intrinsic motivation with interactive social media tools. Our validated model could be the spark of new factors that have the potential to influence user acceptance of information systems in general and in social media tools. This research contributes to the development of attitude-behavior theories that could explain users’ acceptance of dynamic web     

Negation recognition in medical narrative reports

Substantial medical data, such as discharge summaries and operative reports are stored in electronic textual form. Databases containing free-text clinical narratives reports often need to be retrieved to find relevant information for clinical and research purposes. The context of negation, a negative finding, is of special importance, since many of the most frequently described findings are such. When searching free-text narratives for patients with a certain medical condition, if negation is not taken into account, many of the documents retrieved will be irrelevant. Hence, negation is a major source of poor precision in medical information retrieval systems. Previous research has shown that negated findings may be difficult to identify if the words implying negations (negation signals) are more than a few words away from them. We present a new pattern learning method for automatic identification of negative context in clinical narratives reports. We compare the new algorithm to previous methods proposed for the same task, and show its advantages: accuracy improvement compared to other machine learning methods, and much faster than manual knowledge engineering techniques with matching accuracy. The new algorithm can be applied also to further context identification and information extraction tasks.

多领域视角下的知识标注研究与实现

领域主题词表提供了某个领域或者行业某个视角下的关注的重点.利用领域主题词表进行标注能够揭示某个视角下文档的语义,而多个领域主题词表能够从多个视角联合揭示和挖掘文档的语义.文章通过将多个领域主题词表联合起来进行语义标注,提出了多领域视角下的知识标注方案.文章以皮肤病领域下文档标注为例进行了设计和实现.多领域视角下的知识标注为挖掘文档的知识提供了参考,并为进一步知识库的构建等奠定了基础.     

基于相对频次的标签相关性判断优化研究

[目的/意义] 针对笔者此前提出的标签相关性判断策略进行优化,以提升策略的召回率,从而更好地支持标签应用研究与实践。[方法/过程] 为提升策略的召回率,以标签与认知的基本关系为基础,提出一种基于相对频次的改进策略,并以社会化标注社区"豆瓣电影"的675 351位用户的标签数据为例进行实验,以验证策略的效果。[结果/结论] 结果显示,该策略使得标签相关性判断的效果得到了显著改善。其中,对于频次不小于5的标签,策略的召回率大幅提升,由79.63%升至89.36%;准确率虽有略微下滑,由93.33%降至92.02%,但仍保持在较高水平。     

图书标注系统的比较分析

回顾图书标注的发展历史,介绍基于标签的图书标注系统的机制与优势;选取国内外共计三类10个图书标注系统进行实例分析,从标注主体、标注目的、标注功能和标签处理三个方面总结各类系统的特点;最后提出完善图书标注系统的建议,以期为其未来发展提供些许参考。     

Unmasking text plagiarism using syntactic-semantic based natural language processing techniques: Comparisons,analysis and challenges

The proposed work aims to explore and compare the potency of syntactic-semantic based linguistic structures in plagiarism detection using natural language processing techniques. The current work explores linguistic features, viz., part of speech tags, chunks and semantic roles in detecting plagiarized fragments and utilizes a combined syntactic-semantic similarity metric, which extracts the semantic concepts from WordNet lexical database. The linguistic information is utilized for effective pre-processing and for availing semantically relevant comparisons. Another major contribution is the analysis of the proposed approach on plagiarism cases of various complexity levels. The impact of plagiarism types and complexity levels, upon the features extracted is analyzed and discussed. Further, unlike the existing systems, which were evaluated on some limited data sets, the proposed approach is evaluated on a larger scale using the plagiarism corpus provided by PAN¹ competition from 2009 to 2014. The approach presented considerable improvement in comparison with the top-ranked systems of the respective years. The evaluation and analysis with various cases of plagiarism also reflected the supremacy of deeper linguistic features for identifying manually plagiarized data.     

基于AutoCAD的轴测图的绘制

轴测图是一种在二维模式下用线段构成的具有立体感的图形。轴测图的绘制主要依据构图原理,利用CAD工具中的相关功能实现。轴测图在进行尺寸标注时,不能直接运用标注工具进行标注,要根据所标注的尺寸类型进行必要的设置,才能得到立体感的标注效果。     

社会标注在医药卫生网络资源中的应用研究

以社会标注在医药卫生网络信息资源中的典型应用网站为研究对象,介绍社会标注在医药卫生网络信息资源组织与管理中的具体应用,分析指出：社会标注在医药卫生资源管理中可实现信息组织、信息检索、信息推荐、信息分享等功能和服务,在医药卫生信息资源的有效组织与揭示、快速传播和利用及挖掘领域中的关注热点和主题等方面具有重要作用。但是,社会标注在医药卫生网络资源网站中的应用也存在对标签缺乏控制和控制过死、个性化服务能力有限和对标注数据的利用不足等问题,作者对此提出针对性的改进建议。     

Action Research: Methods That Make Sense

Abstract

This article outlines five Web 2.0 resources and looks at the use of these tools among medical and nursing professionals and students at the Hospital, Medical School, and Nursing School of the University of Pennsylvania. Questionnaires showed that a majority of the individuals surveyed were unfamiliar with Web 2.0 resources. Additional respondents recognized the tools but did not use them in a medical or nursing context, with a minimal number using any tools to expand their medical or nursing knowledge. A lack of time to set up and use the resources, difficulty of set-up and use, skepticism about the quality of user-generated medical content, and a lack of perceived need for Web 2.0 resources contributed substantially to non-use. The University of Pennsylvania Biomedical Library is responding by increasing the availability of basic, quick, and easy-to-use instructional materials for selected Web 2.0 resources.     

Transcending Library Catalogs: A Comparative Study of Controlled Terms in Library of Congress Subject Headings and User-Generated Tags in LibraryThing for Transgender Books

Perhaps the greatest power of folksonomies, especially when set against controlled vocabularies like the Library of Congress Subject Headings, lies in their capacity to empower user communities to name their own resources in their own terms. This article analyzes the potential and limitations of both folksonomies and controlled vocabularies for transgender materials by analyzing the subject headings in WorldCat records and the user-generated tags in LibraryThing for books with transgender themes. A close examination of the subject headings and tags for twenty books on transgender topics reveals a disconnect between the language used by people who own these books and the terms authorized by the Library of Congress and assigned by catalogers to describe and organize transgender-themed books. The terms most commonly assigned by users are far less common or non-existent in WorldCat. The folksonomies also provide spaces for a multiplicity of representations, including a range of gender expressions, whereas these entities are often absent from Library of Congress Subject Headings and WorldCat. While folksonomies are democratic and respond quickly to shifts and expansions of categories, they lack control and may inhibit findability of resources. Neither tags nor subject headings are perfect systems by themselves, but they may complement each other well in library catalogs. Bringing users’ voices into catalogs through the addition of tags might greatly enhance organization, representation, and retrieval of transgender-themed materials.