Maintaining knowledge about temporal intervals
Communications of the ACM
The perfect search engine is not enough: a study of orienteering behavior in directed search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GATE: an architecture for development of robust HLT applications
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Chronica: a temporal web search engine
ICWE '06 Proceedings of the 6th international conference on Web engineering
On the value of temporal information in information retrieval
ACM SIGIR Forum
Proceedings of the 2008 ACM symposium on Applied computing
Second HAREM: New Challenges and Old Wisdom
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
TISE: A Temporal Search Engine for Web Contents
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 03
Use of Co-occurrences for Temporal Expressions Annotation
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
Temporal Semantics Extraction for Improving Web Search
DEXA '09 Proceedings of the 2009 20th International Workshop on Database and Expert Systems Application
Top-k queries on temporal data
The VLDB Journal — The International Journal on Very Large Data Bases
Automatic time expression labeling for english and chinese text
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Exploring temporal evidence in web information retrieval
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
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TheWeb can be considered a vast repository of temporal information, as it daily receives a huge amount of new pages. Generally, users are interested in information related to a specific temporal interval. In the information retrieval area, researches have newly incorporated the temporal dimension to the search engines. This paper presents a comprehensive study that describes the evolution of search engines on the exploitation of temporal information. Research directions and future perspectives are also presented, considering the authors' point of view.