Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which some may display media cap- tured at these events. This information is, however, often incomplete and always locked into the sites. This prevents users from creating overviews of media associated with an event from multiple websites. We carried out exploratory user studies with potential end-users to guide the design of a web-based environment for supporting event-based services. Based on our results, our goal is to provide support for exploring and selecting events and associated media, and for discovering meaningful, surprising or entertaining connections between events, media and participants by consuming linked data. We assembled a large co...
Users are sharing vast amounts of social data through social networking platforms accessible by Web ...
Millions of users share their experiences, thoughts, and interests online, through social media site...
Abstract. An ever increasing amount of event-centric knowledge is spread over multiple social servic...
Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which so...
Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which so...
Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which so...
We present a large dataset composed of events descriptions together with media descriptions associat...
We present a large dataset composed of events descriptions together with media descriptions associat...
We present a large dataset composed of events descriptions together with media descriptions associat...
Abstract. We present an event-based approach for users to explore, annotate and share media. We are ...
We present a method combining semantic inferencing and visual analysis for finding automatically med...
Abstract. An ever increasing amount of event-centric generated knowledge is spread over multiple soc...
We present a method to automatically detect and identify events from social media sharing web sites....
Users are sharing vast amounts of social data through social networking platforms accessible by Web ...
Users are sharing vast amounts of social data through social networking platforms accessible by Web ...
Users are sharing vast amounts of social data through social networking platforms accessible by Web ...
Millions of users share their experiences, thoughts, and interests online, through social media site...
Abstract. An ever increasing amount of event-centric knowledge is spread over multiple social servic...
Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which so...
Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which so...
Large numbers of websites contain (human-readable) infor- mation about scheduled events, of which so...
We present a large dataset composed of events descriptions together with media descriptions associat...
We present a large dataset composed of events descriptions together with media descriptions associat...
We present a large dataset composed of events descriptions together with media descriptions associat...
Abstract. We present an event-based approach for users to explore, annotate and share media. We are ...
We present a method combining semantic inferencing and visual analysis for finding automatically med...
Abstract. An ever increasing amount of event-centric generated knowledge is spread over multiple soc...
We present a method to automatically detect and identify events from social media sharing web sites....
Users are sharing vast amounts of social data through social networking platforms accessible by Web ...
Users are sharing vast amounts of social data through social networking platforms accessible by Web ...
Users are sharing vast amounts of social data through social networking platforms accessible by Web ...
Millions of users share their experiences, thoughts, and interests online, through social media site...
Abstract. An ever increasing amount of event-centric knowledge is spread over multiple social servic...