Temporal analysis of document collections: Framework and applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6393 LNCS, Issue , 2010, Pages 290-296

  Alonso, Omar ^a   Gertz, Michael ^b   Baeza Yates, Ricardo ^c  

^a MICROSOFT   (United States)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c YAHOO RESEARCH   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CONCEPT OF TIME; DIGITAL WORLD; DOCUMENT ANALYSIS; DOCUMENT COLLECTION; TEMPORAL ANALYSIS; TIME STAMPS;

TOWERS; ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

INFORMATION RETRIEVAL;

EID: 78549257865     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16321-0_30     Document Type: Conference Paper

References (5)

1. Alonso, O., Gertz, M., Baeza-Yates, R.: Clustering and Exploring Search Results using Timeline Constructions. In: 18th ACM Conf. on Information and Knowledge Management, pp. 97-106 (2009)
2. Alonso, O., Baeza-Yates, R., Gertz, M.: Effectiveness of Temporal Snippets. In: WSSP Workshop, WWW Madrid (2009)
3. Cha, S.-H., Srihari, S.N.: On measuring the distance between histograms. Pattern Recognition (35), 1355-1370 (2002)
4. Mani, I., Pustejovsky, J., Gaizauskas, R. (eds.): The Language of Time. Oxford University Press, Oxford (2005)
5. Schilder, F., Habel, C.: From Temporal Expressions to Temporal Information: Semantic Tagging of News Messages. In: ACL 2001Workshop on Temporal and Spatial Information Processing, pp. 1-8 (2001)