Mapping tweets to conference talks: a goldmine for semantics

摘要: The short message service Twitter has gained significant popularity and uptake among participants of conferences organized events as a backchannel for intra-event communication. Information that is exchanged explicitly through such tweets, or implicitly present in them, remains mostly hidden undecipherable to machines. In this paper we propose framework extracting valuable information from conference enabling its publication Linked Data. We introduce the concept mapping tweets with talks subevents they refer to, doing so gaining access additional about users, dynamics event. preliminary results our work towards tweet-talk mappings motivate current future by giving several use cases extracted data.