Browsing Unbounded Social, Linked Data Instances with User Perspectives
Hyun Namgoong, Sung-Kwon Yang, Mina Song, Hong‐Gee Kim · 2009
With the emerging uses of semantically enriched social data on the Web, linked data are expected to envision a next generation of the current web. As dasiaweb of datapsila, they are spread as pieces of data into the Web with links to related objects or concepts. Data instances distributed with URIs, those that enable identification and combination of data instances, can be consumed with shared data vocabularies. Easy and intuitive access to the data should be provided for data-centered uses of the Web. This paper introduces a linked data browser providing an intuitive view, especially helping casual userspsila understanding of data instances and their relationships. The browser also satisfies the requirement of a generic browser: handling unexpected domains of data across the links. By adapting userpsilas perspectives captured during browsing, the browser enables users to view any types of linked data instances with different views pertinent to their intentions and types of data.