Linked Open Social Signals
From Knoesis wiki
We explore the symbiosis of real time analysis and linked data. Representing social signals as structured data will enable flexibility in handling the information overload of those interested in collectively analyzing social signals for sensemaking.
This is work in progress by Pablo N. Mendes (Kno.e.sis), Alex Passant (DERI), Pavan Kapanipathi (Kno.e.sis) and Dr. Amit P. Sheth (Kno.e.sis). It builds upon Twitris and SMOB.
Contents
[hide]Real Time
The load estimate for the firehose is 35K triples per hour (tph) for the health care topic.
Writeup
Get it from here:
Related
- Bibliography of Research on Twitter & Microblogging [1]
At Kno.e.sis
- Social Signals @kno.e.sis
- A. Sheth, Semantic Integration of Citizen Sensor Data and Multilevel Sensing: A comprehensive path towards event monitoring and situational awareness, February 17, 2009.
- A. Sheth, Citizen Sensing, Social Signals, and Enriching Human Experience- IEEE Internet Computing, July/August 2009.
- Meenakshi Nagarajan, Karthik Gomadam, Amit P. Sheth, Ajith Ranabahu, Raghava Mutharaju, Ashutosh Jadhav: Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences. WISE 2009: 539-553 [2]
At DERI
- Microblogging: A Semantic Web and Distributed Approach (Paper at SFSW2008)
- A Distributed Semantic Microblogging Platform (Challenge submission SFSW2008)
Semantic Microblogging
- http://smob.me
- http://semantictweet.com
- http://smesher.org/
- http://openmicroblogging.org/
- http://status.net/
- Short and Tweet: Experiments on Recommending Content from Information Streams [3]
- Cheng. Fall'09 class project at iSchool (Berkeley). Classifying Metatweets pdf
- Klout on health care: [4]
- Topsy on health care: [5]
- Krishnamurty, Gill, Arlitt. SIGCOMM'08. A few chirps about twitter. pdf
- classifies 100,000 users in broadcasters, acquaintances, miscreants or evangelists.
