III-COR-Small: Social Integration of Semantic Annotation Networks for Web Applications

链接分析算法利用作者创建的超链接作为页面之间的语义背书，而社交书签提供了一种利用信息消费者的注释作为页面信息源的方法。该项目探索了一种新的方法，这是两者的协同作用：征求用户对页面内容的注释，以一种隐含的方式形成资源和标签之间的关系网络。然后，这些社会生成的关系被聚合以构建自下而上的全局语义相似性网络。算法被开发来构建、分析和挖掘这些网络，以支持搜索和推荐应用、探索性导航接口、资源管理实用程序、标签垃圾邮件检测和激励游戏，从而加速临界质量的实现。（相似性）从单个用户到“群体智慧”，该项目研究了一个信息理论模型，该模型从许多用户已经维护的信息结构中提取语义评估，即他们在浏览器或在线上管理的书签和标签。这需要设计和评估几个基于网络的措施和算法，如相似性，新奇，中心性和重点。该模型的目标之一是探索资源（URL）和概念（标签或类别）之间的二元性，以及社会注释和协同过滤的集成。为用户提供即时价值的一种方法是集成基于客户机的分类法和基于服务器的大众分类法，用于社会书签管理。浏览器书签的传统用户和在线书签的社交用户都可以利用相同的语义地图，同时保留直观的浏览器界面和集中存储的便利性。有关该项目的更多信息，请访问http://GiveALink.org。

Link analysis algorithms leverage hyperlinks created by authors as semantic endorsements between pages, while social bookmarks provide a way to leverage annotations by information consumers as a source of information about pages. This project explores a novel approach that is a synergy of the two: soliciting annotations from users about the content of pages, in a way that implicitly forms networks of relationships between and among resources and tags. These socially generated relationships are then aggregated to build bottom-up, global semantic similarity networks. Algorithms are developed to construct, analyze, and mine these networks in support of search and recommendation applications, exploratory navigation interfaces, resource management utilities, tag spam detection, and incentive games to accelerate the achievement of critical mass.To extrapolate both annotations about content (tags) and semantic relationships (similarity) from single users to the ``wisdom of the crowd,'' the project investigates an information-theoretic model that extracts semantic assessments from information structures that many users are already maintaining, namely the bookmarks and tags they manage on their browsers or online. This entails the design and evaluation of several network-based measures and algorithms, such as similarity, novelty, centrality, and focus. Among the aims of this model are the exploration of the duality between resources (URLs) and concepts (tags or categories) and the integration of social annotation and collaborative filtering. One way to provide users with immediate value is to integrate client-based taxonomies and server- based folksonomies for social bookmark management. Both traditional users of browser bookmarks and social users of online bookmarks can take advantage of the same semantic maps while retaining the convenience of intuitive browser interfaces and centralized storage.Further information about the project can be found at http://GiveALink.org.