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In Linked Data, the use of owl:sameAs is ubiquitous in interlinking data-sets. There is however, ongoing discussion about its use, and potential misuse, particularly with regards to interactions with inference. In fact, owl:sameAs can be viewed as encoding only one point on a scale of similarity, one that is often too strong for many of its current uses. We(More)
In contrast to traditional search, semantic search aims at the retrieval of information from factual assertions about real-world objects rather than searching over web-pages with textual descriptions. One of the key tasks to address in this context is ad-hoc object retrieval, i.e. the retrieval of objects in response to user formulated keyword queries.(More)
In Linked Data, the use of owl:sameAs is ubiquitous in ‘inter-linking’ data-sets. However, there is a lurking suspicion within the Linked Data community that this use of owl:sameAs may be somehow incorrect, in particular with regards to its interactions with inference. In fact, owl:sameAs can be considered just one type of ‘identity link,’ a link that(More)
The search for entities is the most common search type on the web beside navigational searches. Whereas most common search techniques are based on the textual descriptions of web pages, semantic search approaches exploit the increasing amount of structured data on the Web in the form of annotations to web-pages and Linked Data. In many technologies, this(More)
The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including the dynamics of such systems and whether coherent classification(More)
This article uses data from the social bookmarking site del.icio.us to empirically examine the dynamics of collaborative tagging systems and to study how coherent categorization schemes emerge from unsupervised tagging by individual users. First, we study the formation of stable distributions in tagging systems, seen as an implicit form of(More)
The primary problem confronting any new kind of search task is how to boot-strap a reliable and repeatable evaluation campaign, and a crowd-sourcing approach provides many advantages. However, can these crowd-sourced evaluations be repeated over long periods of time in a reliable manner? To demonstrate, we investigate creating an evaluation campaign for the(More)
Most tagging systems support the user in the tag selection process by providing tag suggestions, or recommendations, based on a popularity measurement of tags other users provided when tagging the same resource. The majority of theories and mathematical models of tagging found in the literature assume that the emergence of power laws in tagging systems is(More)