Social event detection : a systematic approach using ontology and linked open data with significance to semantic links
Joint Authors
Selvam, Sheba
Balakrishnan, Ramadoss
Ramakrishnan, Balasundaram
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 4 (31 Jul. 2018)9 p.
Publisher
Publication Date
2018-07-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
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
American Psychological Association (APA)
Selvam, Sheba& Balakrishnan, Ramadoss& Ramakrishnan, Balasundaram. 2018. Social event detection : a systematic approach using ontology and linked open data with significance to semantic links. The International Arab Journal of Information Technology،Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839076
Modern Language Association (MLA)
Selvam, Sheba…[et al.]. Social event detection : a systematic approach using ontology and linked open data with significance to semantic links. The International Arab Journal of Information Technology Vol. 15, no. 4 (Jul. 2018).
https://search.emarefa.net/detail/BIM-839076
American Medical Association (AMA)
Selvam, Sheba& Balakrishnan, Ramadoss& Ramakrishnan, Balasundaram. Social event detection : a systematic approach using ontology and linked open data with significance to semantic links. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839076
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-839076