netwit 2.01

MICROBLOGGING #Microblogging: A #Semantic and Distributed Approach

Microblogging: A Semantic and Distributed Approach

Alexandre Passant1, Tuukka Hastrup2, Uldis Bojars, John Breslin

1 LaLIC, Université Paris-Sorbonne,

28 rue Serpente, 75006 Paris, France

2 DERI, National University Of Ireland,

Galway, Ireland

…..Twitter users have adopted certain short-hand conventions in their writing called hash tags6, but their semantics are not readily machine-processable thus raising the same ambiguity and heterogeneity problems that tagging causes. For example, the hash tag #paris could mean various things (cities, people etc.) depending on the context, and so cannot be automatically processed by computers. This lack of data formal-ism also makes finding relevant content difficult. While some services provideplain-text search engines, there is no way to answer queries like ”What are thelatest updates talking about a programming language” or ”What is happening now within ten kilometres from here”.


Thus, there is a need to (semi-)automatically extract those URIs or con-cepts from plain text or to let users annotate it similarly to what they can already do on Twitter with hash tags, but with more powerful processing thatcan extract and define URIs based on those tags. For example, rather than


writing ”Visiting #Eiffel Tower in #Paris”, someone could microblog ”Visiting#dbp:Eiffel Tower in #geo:Paris France” so that the processor would be able to extract the two hash tags and thanks to a predefined prefix mapping process,query DBpedia [1] and GeoNames10 to retrieve URIs of the related concepts.Thus, the updates would be automatically linked to existing URIs rather than to simple and meaningless – from a software agent point of view -text strings.


January 10, 2011 - Posted by | Semantic Web, social media, social networks, Tim Burners-Lee, Uncategorized, Web 2.0

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