Abstract With the growing interest in capturing daily activities and sharing it through social media sites, enormous amount of multimedia content such as photographs, videos, texts, audio are made available on the web. Retrieval of multimedia content has now become a trivial task. Generally, people show interest in sharing photographs to a well-known closed community through social media sites like Flickr and Facebook. One solution to retrieve photographs is by identifying them as events. This task is known as Social Event Detection (SED). From the Flickr website, with the use of metadata like photoID, title, tags, description, date, time and geo-location for each photograph, the SED task is performed. As a central piece of the SED task, ontology for events domain is implemented. First half of the work is an explicit knowledge representation by constructing ontology for event detection using Protégé. Then, reasoning is done through HermiT reasoner and later SPARQL query is done to retrieve the media representing each event. The second half of the work involves in linking open description of specific events from different web services like Eventful, Last.fm, Foursquare, Upcoming and GeoNames. SPARQL query is done to measure the retrieval performance of each event after making semantic link using Linked Open Data (LOD). Finally an additional feature, the weather information for events is added, which shows removal of false positives in the SED task.

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[26] Yang Y., Pierce T., and Carbonell J., A Study of Retrospective and on-line Event Detection, in Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Melbourne, pp. 28-36, 1998. Sheba Selvam completed her BTech (Hons.) in Information Technology and ME in Computer Science and Engineering. She is currently a Research Scholar in the Department of Computer Applications, National Institute of Technology, Tiruchirappalli (NITT). She works in social media retrieval and her areas of interest include multimedia and information retrieval. Ramadoss Balakrishnan earned doctorate in Applied Mathematics from Indian Institute of Technology, Bombay India, in 1983 and is awarded M.Tech. in Computer Science & Engineering from Indian Institute of Technology, Delhi in 1995.Currently working as Professor in Computer Applications at National Institute of Technology, Tiruchirappalli, Tamil Nadu, India India( Deemed University, funded by Government of India). Recipient of Medal for Distinction in Engineering & Technology and cash prize by the Central Board of Irrigation & Power, New Delhi in 1983 for a research paper published in the Irrigation & Power Journal. Also recipient of Best Teacher Award in Computer Application for the year 2006-2007 from National Institute of Technology, Tiruchirappalli.. Having teaching & research experience of more than 25 years with more than 40 research publications in refereed journals & reputed International conferences. Research areas include Data Mining; Networks; Software Testing. Balasundaram Ramakrishnan completed his MCA and ME in Computer Science and Engineering. He obtained his PhD in the area of e-learning. He is working in the Department of Computer Applications, National Institute of Technology (NIT) as an Associate Professor. He joined NIT (formerly known as Regional Engineering College) during 1987. His areas of interests include object oriented analysis and design, internet and web technologies, HCI and mobile data management. He is involved in the development of e-learning course materials.