Please join us on Friday, February 12, 2016 from 3:00-4:00 at the Ryerson Social Media Lab for a talk by Ebrahim Bagheri (@ebrahim_bagheri), Canada Research Chair in Software and Semantic Computing, Associate Professor and Director for the Laboratory for Systems, Software and Semantics (LS3) at Ryerson University on:
“Information Mining from Microblogging Platforms”
Event: Social Media Lab Speaker Series
Date: Friday, February, 2016
Time: 3:00-4:00 pm
Location: 10 Dundas Street East, Toronto
Ryerson Social Media Lab at the Ted Rogers School of Management (Note: When you enter 10 Dundas, look for the elevator bank (marked as Office Tower) next to the Starbucks Coffee on the 1st floor. Take the elevator to the 10th floor, our office suite #1002 will be on the right.)
The microblogging platforms have gained wide popularity over the past few years. For instance, Twitter alone has over 300M active users and generates over 500M tweets per day. The unique characteristic of microblogging services, only allowing short length messages to be communicated, has brought about interesting changes to how information is expressed and communicated by the users, i.e., the semantics of information when expressed on microblogs differ from when expressed on other medium. For instance, the word ‘metal’ when observed on microblogs carries a different semantic meaning, most likely referring to heavy metal music, as opposed to when used in other contexts where its predominant sense is the metal material. In this talk, I will discuss how the meaning and senses of words can be captured and modelled on microblogs to enable better and more efficient .search, retrieval and recommendation of content.
Ebrahim Bagheri is a Canada Research Chair in Software and Semantic Computing, an Associate Professor and the Director for the Laboratory for Systems, Software and Semantics (LS3) at Ryerson University, and has been active in the areas of the Semantic Web and Software Engineering. He was one of the research theme leaders of the national project on Radiation Emission Monitoring at the National Research Council Canada and was responsible for leading the development of the Semantic Web and Knowledge Engineering components of that project. In 2011, he co-chaired the Canadian Semantic Web Conference in Vancouver, BC (http://ceur-ws.org/Vol-774/). His work on Software Platforms for Big Data Information Extraction has resulted in provisionally patented technologies namely Denote and Derive. Denote is a software platform based on Linked Open Data and Derive is an extensible architecture for unsupervised knowledge extraction and object (concept and property-value pair) population from the Web. He has been involved in projects that encompass the use of large-scale software platform technologies in the areas of e-commerce and business process modeling funded by NSERC, AIF and IBM. He has been PI/coPI on projects worth over $8M CAD including 2 active NSERC Collaborative and Research Development (CRD) projects. He is a Senior Member of IEEE and an IBM Faculty Fellow.
About the Social Media Lab Speaker Series:
The Social Media Lab Speaker Series bring together scholars, researchers and practitioners to exchange ideas and debate key issues associated with social media and new media research. The series serves as a venue for social media scholars to meet and network. Traditionally we invite leading and emerging researchers in the field to discuss theoretical and methodological topics that are of interest to the broader research community. We usually feature 8-10 talks per semester. The talks are typically about forty minutes long followed by twenty minutes of Q&A. For those who cannot join us in person, the lecture are broadcast live over Periscope and posted on YouTube after the event.