Semantic Indexing of Twitter Resources

• Main Authors: Lai, Cristian, Moulin, Claude, Abel, Marie-Hélène
• Other Authors: Heuristique et Diagnostic des Systèmes Complexes Compiègne (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2013
• Subjects: Microblogging; Twitter; Tagging; Annotations; Semantic indexing; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; Iceland
• Online Access: https://hal.archives-ouvertes.fr/hal-01307756

International audience Individual needs for sharing information take more and more importance. The easy access to social mediaservices encourages people to produce informal communication. Many research efforts are devoted to theanalyze of such kinds of data, potentialy imprecise or ambiguous. In this paper we propose a way to helppeople to write applications for gathering and indexing information produced on Twitter, mainly into tweets.This approach involves two elements. The first one is the description of a system able to semantically indextweets in a distributed structure. The second element is the definition of the category of semantic tweets whichcontain semantic references. The last section of this paper describes an application able to insert semantichash tags into tweets in a manner completely transparent to users.