00777nas a2200145 4500008004100000020002200041245008900063210006900152260011600221520012500337100001300462700001600475700001500491856012500506 2016 eng d a978-1-4503-4143-100aTweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones0 aTweet Properly Analyzing Deleted Tweets to Understand and Identi bInternational World Wide Web Conferences Steering Committee Republic and Canton of Geneva, Switzerlandc04/20163 a
In this paper, we present Twitris, a semantic Web application that facilitates browsing for news and information, using social perceptions as the fulcrum. In doing so we address challenges in large scale crawling, processing of real time information, and preserving spatiotemporal-thematic properties central to observations pertaining to realtime events. We extract metadata about events from Twitter and bring related news and Wikipedia articles to the user. In developing Twitris, we have used the DBPedia ontology.
1 aJadhav, Ashutosh1 aWang, Wenbo1 aMutharaju, Raghava1 aAnantharam, Pramod1 aNguyen, Vinh1 aSheth, Amit1 aGomadam, Karthik1 aNagarajan, Meenakshi1 aRanabahu, Ajith uhttps://daselab.cs.ksu.edu/publications/twitris-socially-influenced-browsing