Document Type
Conference Proceeding
Publication Date
10-2015
Abstract
Recently Twitter, has emerged as one of the primary medium for sharing and seeking of the latest information related to variety of the topics including health information. Recently, Twitter has emerged as one of the primary mediums for sharing and seeking the latest information related to a variety of topics, including health information. Although Twitter is an excellent information source, identification of useful information from the deluge of tweets is one of the major challenge. Twitter search is limited to keyword based techniques to retrieve information for a given query and sometimes the results do not contain real-time information. Moreover, Twitter does not utilize semantics to retrieve results. To address these challenges, we developed a system (Social Health Signals) by leveraging rich domain knowledge to extract relevant and reliable health information from Twitter in near real-time. We have used semantics based techniques 1) to retrieve relevant and reliable health information shared on Twitter in real-time 2) to enable question answering 3) to rank results based on relevancy, popularity and reliability 4) to semantically categorize the information.
Repository Citation
Jadhav, A. S.,
Soni, S.,
& Sheth, A. P.
(2015). Social Health Signals. .
https://corescholar.libraries.wright.edu/knoesis/1083
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the 14th International Semantic Web Conference, Bethlehem, PA, October 11-15, 2015.
This is the authors' version of this proceeding.