Thinking about interlinking data contexts

Time to remind the project statement. To build a semantic profiling framework to support the connection of researchers. The main use case and application that the framework has to support is illustrated by what could be called: “the conference case”. Scientists and researchers are interested in very specific topics, this is best verified by the conferences they are attending. Another trend is that they all blog and tweet about these events. This creates huge opportunities for profiling. The attendees tweet about what they notice, what they remark as interesting for their own projects. What if we could connect these users using this information? We could call an application that does just that “Scientific Profiling“. This approach comes from the concept that the data produced in social networks can have true value if properly annotated and interlinked. A second requirement is to create a suitable context in which this information can get meaning. This is very important to identify which ontologies should be used. Read more of this post

From a valid RDF/XML for Twitter users to a dynamic SPARQL Endpoint

This weekend I upgraded the semantic profiling framework. Now it annotates for every Twitter user:

  • Its profile as SIOC UserAccount
  • The timeline as SIOC(Types) MicroBlog
  • All the tweets as SIOC(Types) MicroBlogPost

It grabs the tweets from a user in Grabeeter if the user has registered there. If not they are being retrieved with the Twitter API.

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Mining microblogs using semantic technologies

Class diagram for the LOD datasets

Image via Wikipedia

The framework for the tool that I will develop fits like a puzzle piece in a bigger system that is being developed in the research group “Social Learning” at Graz University of Technology. Selver Softic from Infonova GmbH and Ebner et al. from Social Learning recently wrote a paper about their ongoing research efforts aiming at knowledge discovery. They are aiming to provide a scientific architecture paradigm for building semantic applications that rely on social data. At the moment they are focussing on data from Twitter, like me. For this purpose they have implemented a tool Grabeteer for storing and caching social data. In this paper they outlined the architecture for a system that can extract, structure and link the data grabbed from Twitter by the Grabeteer. Read more of this post

Semantic Microblogging Architecture

Thoughts on location and microblogging...
Image by whiteafrican via Flickr

SMOB – Semantic Microblogging is an interesting system, because its architecture is similar to the kind of architecture I will need to realize the scientific profiling tool for twitter. SMOB has been described in an article about Microblogging by Passant et al. This paper also described the implementation of an initial prototype of this concept that provides ways to leverage microblogging with the Linked Data Web guidelines. At the time of writing microblogging services were (but today still are) centralised  and confined, and efforts are still to be made to let microblogging be part of the Social Semantic Web. First, the authors introduced classical microblogging and some of the issues it raises. Second, the authors saw how Semantic Web can help in getting rid of these issues and what it can offer that traditional services could not achieve. Read more of this post

Towards semantically-interlinked online communities

In this article Breslin et al. presented different types of online communities and tools that were at that time used to build and support online communities. As I discovered and stated in previous posts, those communities are islands that are not interlinked. The authors als presented the SIOC ontology. The goal of SIOC (Semantically-Interlinked Online Communities) is to interconnect these online communities. Community sites can include many discussion primitives, such as bulletin boards, weblogs and mailing lists, which are grouped under the concept of forum.

Walls between social networks by Berners Lee

Walls between social networks by Berners Lee

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Interlinking the social web with semantics

In this project, I will analyze the semantics in twitter feeds and the profile of a user. To gain more insight in the relation between the current semantic web and social web, I searched for some relevant articles. In this post I write a summary of the article by Bojars et al. titled “Interlinking the social web with semantics”.

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