A general language model for information retrieval (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Ranking very many typed entities on wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Identifying document topics using the Wikipedia category network
Web Intelligence and Agent Systems
Decoding wikipedia categories for knowledge acquisition
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Gathering and ranking photos of named entities with high precision, high recall, and diversity
Proceedings of the third ACM international conference on Web search and data mining
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia
Proceedings of the 13th International Conference on Extending Database Technology
MultimediaN e-culture demonstrator
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Exploiting temporal topic models in social media retrieval
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Structured summarization for news events
Proceedings of the 22nd international conference on World Wide Web companion
| Hi-index | 0.00 |
Wikipedia has become one of the most authoritative information sources on the Web. Each article in Wikipedia provides a portrait of a certain entity. However, such a portrait is far from complete. An informative portrait of an entity should also reveal the context the entity belongs to. For example, for a person, major historical, political and cultural events that coincide with her life are important and should be included in that person's portrait. Similarly, the person's interactions with other people are also important. All this information should be summarized and presented in an appealing and interactive visual interface that enables users to quickly scan the entity's portrait. We demonstrate CATE which is a system that utilizes Wikipedia to create a portrait of a given entity of interest. We provide a visualization tool that summarizes the important events related to the entity. The novelty of our approach lies in seeing the portrait of an entity in a broader context, synchronous with its time.