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Taxonomy construction is a resource-demanding, top–down, and time consuming effort. It does not always cater for the prevailing context of the captured information. This paper proposes a novel approach to automatically convert tags into a hierarchical taxonomy. Folksonomy describes the process by which many users add metadata in the form of keywords or tags to shared content. Using folksonomy as a knowledge source for nominating tags, the proposed method first converts the tags into a hierarchy. This serves to harness a core set of taxonomy terms; the generated hierarchical structure facilitates users’ information navigation behavior and permits personalizations. Newly acquired tags are then progressively integrated into a taxonomy in a largely automated way to complete the taxonomy creation process. Common taxonomy construction techniques are based on 3 main approaches: clustering, lexico-syntactic pattern matching, and automatic acquisition from machine-readable dictionaries. In contrast to these prevailing approaches, this paper proposes a taxonomy construction analysis based on heuristic rules and deep syntactic analysis. The proposed method requires only a relatively small corpus to create a preliminary taxonomy. The approach has been evaluated using an expert-defined taxonomy in the environmental protection domain and encouraging results were yielded. 相似文献
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连丽阳 《泉州师范学院学报》2011,29(4):99-103
通过阐述知识供应链的概念,分析Web2．0的优势及二者的关系,并在此基础上研究如何通过Web2．0的各项技术来优化图书馆的知识供应链,构建了基于Wiki与Blog的知识创新、基于Folksonomy与RSS的知识转移、基于Ajax的知识应用三个具体优化模型,旨在提高图书馆服务效率和核心竞争力、促进图书馆可持续发屁 相似文献
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[目的/意义]研究如何优化我国高校图书馆对Folksonomy的管理,提升高校图书馆Folksonomy的服务能力,加大高校图书馆Folksonomy的推广力度。[方法/过程]运用经典扎根理论,调研高校图书馆存在的Folksonomy管理问题,构建我国高校图书馆Folksonomy管理机制模型。[结果/结论]研究结果表明,高校图书馆Folksonomy的管理机制是由具多样性特点的运行机制、具隐性特点的约束机制和具多重性特点的动力机制共同组成的,管理各环节之间并非单向关系,而是双向互相约束。 相似文献
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用分众分类模式优化学科导航库建设 总被引：7，自引：1，他引：7
通过分析学科导航库建设中存在的问题，研究了以分众分类模式运作的Web2.0网站的成功经验，即迎合用户需求，体现用户价值，尊重群众的智慧等，并分析了其成功的行为学基础。最后参照分众分类的成功模式，提出了优化学科导航库建设的具体措施，即建设理念要具有开放性，建立易于管理及用户参与的平台，制定交流模式，创造交流中信任与协作的氛围，提高学科导航库的知名度。 相似文献
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《Information processing & management》2016,52(1):61-72
In recent years, there has been a rapid growth of user-generated data in collaborative tagging (a.k.a. folksonomy-based) systems due to the prevailing of Web 2.0 communities. To effectively assist users to find their desired resources, it is critical to understand user behaviors and preferences. Tag-based profile techniques, which model users and resources by a vector of relevant tags, are widely employed in folksonomy-based systems. This is mainly because that personalized search and recommendations can be facilitated by measuring relevance between user profiles and resource profiles. However, conventional measurements neglect the sentiment aspect of user-generated tags. In fact, tags can be very emotional and subjective, as users usually express their perceptions and feelings about the resources by tags. Therefore, it is necessary to take sentiment relevance into account into measurements. In this paper, we present a novel generic framework SenticRank to incorporate various sentiment information to various sentiment-based information for personalized search by user profiles and resource profiles. In this framework, content-based sentiment ranking and collaborative sentiment ranking methods are proposed to obtain sentiment-based personalized ranking. To the best of our knowledge, this is the first work of integrating sentiment information to address the problem of the personalized tag-based search in collaborative tagging systems. Moreover, we compare the proposed sentiment-based personalized search with baselines in the experiments, the results of which have verified the effectiveness of the proposed framework. In addition, we study the influences by popular sentiment dictionaries, and SenticNet is the most prominent knowledge base to boost the performance of personalized search in folksonomy. 相似文献
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针对当前Folksonomy用户偏好挖掘方法只能在二元关系基础上挖掘用户偏好、只关注单用户偏好而忽略用户群偏好、只注重静态偏好而忽视时间推移带来的动态变化等问题,提出基于FCA的Folksonomy用户偏好挖掘模型,通过构建Folksonomy多值背景及单值背景,在概念格可视化基础上分析Folksonomy用户行为、用户偏好及其转移。该模型的提出为Folksonomy系统中的用户偏好的获取提供新思路。 相似文献
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分众分类法在图书馆中的应用及优化 总被引：1，自引：0，他引：1
作为Web2.0的一种代表,分众分类法改变了传统网络信息资源的组织方式,变革了图书馆的各项服务内容。分众分类法自身的优点和应用于其他网站的成功经验扩展了其在图书馆中的应用空间,为其在图书馆中的应用提供了有益的借鉴。目前,分众分类法在图书馆网站中的应用主要体现在将其融入到OPAC、图书馆宣传和指导、图书馆资源建设中。图书馆可采用融合传统分类法、设置用户层次和权限、培养馆员和用户的标签素养及构建图书馆2.0体系等措施优化分众分类法在图书馆中的应用。 相似文献
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基于Folksonomy的信息组织及其优化 总被引：1，自引：0，他引：1
Web2.0环境下,个性化信息数量的剧增使原有的信息组织方法难以胜任,而Folksonomy的出现为解决这个问题提供了新的视角。论文叙述Folksonomy的产生的背景及其概念、分析Folksonomy的特征和具体应用实例,并对基于Folksonomy的信息组织中存在的问题提出了优化的措施。 相似文献
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Folksonomy与受控词汇在OPAC的应用研究 总被引：1，自引：0，他引：1
主题表、叙词表等传统受控词汇形式的信息组织工具在Web2.0环境下凸显出缺陷,影响联机公共目录查询系统的检索质量。论文对分众分类法和受控词汇的优缺点进行分析,认为两者可以很好地互补,并且提出了一个应用在联机公共目录查询系统的可行性模式。 相似文献
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Folksonomy在图书馆中的应用分析 总被引：2，自引：0，他引：2
本文首先调研Folksonomy及其应用实例,总结其在图书馆中的应用方式,结合图书馆的核心价值,从信息组织与揭示和信息服务两个方面分析Folksonomy在图书馆中的应用前景。 相似文献