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research-article

Survey of Temporal Information Retrieval and Related Applications

Authors:

Ricardo Campos,

Alípio M. Jorge,

Adam JatowtAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 47, Issue 2

Article No.: 15, Pages 1 - 41

https://doi.org/10.1145/2619088

Published: 25 August 2014 Publication History

Abstract

Temporal information retrieval has been a topic of great interest in recent years. Its purpose is to improve the effectiveness of information retrieval methods by exploiting temporal information in documents and queries. In this article, we present a survey of the existing literature on temporal information retrieval. In addition to giving an overview of the field, we categorize the relevant research, describe the main contributions, and compare different approaches. We organize existing research to provide a coherent view, discuss several open issues, and point out some possible future research directions in this area. Despite significant advances, the area lacks a systematic arrangement of prior efforts and an overview of state-of-the-art approaches. Moreover, an effective end-to-end temporal retrieval system that exploits temporal information to improve the quality of the presented results remains undeveloped.

References

[1]

Advanced Research Projects Agency. 1993. Software and intelligent systems technology office. In Proceedings of the 5th Conference on Message Understanding. Morgan Kaufmann.

[2]

E. Adar, J. Teevan, S. T. Dumais, and J. L. Elsas. 2009. The web changes everything: Understanding the dynamics of web content. In Proceedings of the WSDM'09. ACM, 282--291.

Digital Library

[3]

A. Aji, Y. Wang, E. Agichtein, and E. Gabrilovich. 2010. Using the past to score the present: extending term weighting models through revision history analysis. In Proceedings of the CIKM'10. ACM, 629--638.

Digital Library

[4]

J. Allan, J. Carbonell, G. Doddington, and J. Yamron. 1998. Topic detection and tracking pilot study final report. In Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop. 194--218.

[5]

F. J. Allen. 1983. Maintaining knowledge about temporal intervals. Communications of the ACM 26, 11, 832--843.

Digital Library

[6]

O. Alonso and M. Gertz. 2006. Clustering of search results using temporal attributes. In Proceedings of the SIGIR'06. ACM, 597--598.

Digital Library

[7]

O. Alonso, R. Baeza-Yates, and M. Gertz. 2007a. Exploratory search using timelines. In Proceedings of the Workshop on Exploratory Search and Computer Human Interaction Associated to CHI'07: SIGCHI. ACM.

[8]

O. Alonso, M. Gertz, and R. Baeza-Yates. 2007b. On the value of temporal information in temporal information retrieval. SIGIR Forum 41, 2, 35--41.

Digital Library

[9]

O. Alonso, M. Gertz, and R. Baeza-Yates. 2009a. Clustering and exploring search results using timeline constructions. In Proceedings of the CIKM'09. ACM, 97--106.

Digital Library

[10]

O. Alonso, R. Baeza-Yates, and M. Gertz. 2009b. Effectiveness of temporal snippets. In Proceedings of the WSRSP'09 Workshop associated to WWW'09. ACM.

[11]

O. Alonso, M. Gertz, and R. Baeza-Yates. 2011. Enhancing document snippets using temporal information. In Proceedings of the ISSPIR'11. Springer-Verlag, 26--31.

Digital Library

[12]

O. Alonso, J. Strötgen, R. Baeza-Yates, and M. Gertz. 2011. Temporal information retrieval: challenges and opportunities. In Proceedings of the TWAW'11 Workshop Associated to WWW'11.

[13]

O. Alonso and K. Shiell. 2013. Timelines as summaries of popular scheduled events. In Proceedings of the TempWeb'13 Workshop Associated to WWW'13. 1037--1044.

Digital Library

[14]

A. Anand, S. Bedathur, K. Berberich, and R. Schenkel. 2012. Index maintenance for time-travel text search. In Proceedings of the SIGIR'12. ACM, 235--243.

Digital Library

[15]

I. Arikan, S. Bedathur, and K. Berberich. 2009. Time will tell: Leveraging temporal expressions in information retrieval. In Proceedings of the WSDM'09. ACM.

[16]

C.-M. Au Yeung and A. Jatowt. 2011. Studying how the past is remembered: Towards computational history through large scale text mining. In Proceedings of the CIKM'11. ACM, 1231--1240.

Digital Library

[17]

S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives. 2007. DBpedia: A nucleus for a web of open data. In Proceedings of the ISWC'07. Springer-Verlag, 722--735.

Digital Library

[18]

O. Ayalon and E. Toch. 2013. Retrospective privacy: Managing longitudinal privacy in online social networks. In Proceedings of the SOUPS'13. ACM, 1--13.

Digital Library

[19]

R. Baeza-Yates, F. Saint-Jean, and C. Castillo. 2002. Web structure, dynamics and page quality. In Proceedings of the SPIRE'02. Springer-Verlag, 117--130.

Digital Library

[20]

R. Baeza-Yates. 2005. Searching the future. In Proceedings of the Mathematical/Formal Methods in Information Retrieval Workshop Associated to SIGIR'05. ACM.

[21]

E. Bakshy, I. Rosenn, C. Marlow, and L. Adamic. 2012. The role of social networks in information diffusion. In Proceedings of the WWW'12. ACM, 519--528.

Digital Library

[22]

S. Bannur and O. Alonso. 2014. Analyzing temporal characteristics of check-in data. In Proceedings of the WWW'14. ACM, 827--832.

Digital Library

[23]

L. Bauer, L. F. Cranor, S. Komanduri, M. Saranga, L. Michelle, M. K. Reiter, M. Sleeper, and B. Ur. 2013. The post anachronism: The temporal dimension of Facebook privacy. In Proceedings of the WPES'13. ACM.

Digital Library

[24]

K. Berberich, M. Vazirgiannis, and G. Weikum. 2005. Time-aware authority ranking. Internet Mathematics 2, 3, 301--332.

[25]

K. Berberich, S. Bedathur, T. Neumann, and G. Weikum. 2007a. A time machine for text search. In Proceedings of the SIGIR'07. ACM, 519--526.

Digital Library

[26]

K. Berberich, S. Bedathur, T. Neumann, and G. Weikum. 2007b. FluxCapacitor: Efficient time-travel text search. In Proceedings of the VLDB'07. 1414--1417.

Digital Library

[27]

K. Berberich, S. Bedathur, M. Sozio, and G. Weikum. 2009. Bridging the terminology gap in web archive search. In Proceedings of the WebDB'09 Associated to SIGMOD'09.

[28]

K. Berberich, S. Bedathur, O. Alonso, and G. Weikum. 2010. A language modeling approach for temporal information needs. In Proceedings of the ECIR'10. Springer-Verlag, 13--25.

Digital Library

[29]

K. Berberich and S. Bedathur. 2013. Temporal diversification of search results. In Proceedings of the TAIA'13 Workshop Associated to SIGIR'13.

[30]

K. Bollacker, P. Tufts, T. Pierce, and R. Cook. 2007. A platform for scalable, collaborative, structured information integration. In Proceedings of the IIWeb'07 Workshop Associated to AAAI'07. AAAI Press, 22--27.

[31]

I. Bordino, P. Boldi, D. Donato, M. Santini, and S. Vigna. 2008. Temporal evolution of the UK web. In Proceedings of the 1st International Workshop on AND'08 Associated to ICDM'08. IEEE Computer Society Press, 909--918.

Digital Library

[32]

S. Brin and L. Page. 1998. The anatomy of a large-scale hypertextual web search engine. In Proceedings of the WWW'98. Computer Networks: The International Journal of Computer and Telecommunications Networking 30, 1--7, 107--117.

Digital Library

[33]

B. C. Bruce. 1972. A model for temporal references and its application in a question answering program. Artificial Intelligence, 3: Elsevier. 1--25.

[34]

J. Callan and A. Moffat. 2012. Panel on use of proprietary data. In ACM SIGIR Forum 46(2), 10--18.

Digital Library

[35]

R. Campos, G. Dias, and A. M. Jorge. 2011a. An exploratory study on the impact of temporal features on the classification and clustering of future-related web documents. In Proceedings of the EPIA'11. Lecture Notes in Artificial Intelligence - Progress in Artificial Intelligence, 7026/2011: Springer-Verlag. 581--596.

Digital Library

[36]

R. Campos, G. Dias, and A. M. Jorge. 2011b. What is the temporal value of web snippets&quest; In Proceedings of the TWAW'11 Workshop Associated to WWW'11.

[37]

R. Campos, A. Jorge, and G. Dias. 2011c. Using web snippets and query-logs to measure implicit temporal intents in queries. In Proceedings of the QRU'11 Workshop associated to SIGIR'11. 13--16.

[38]

R. Campos, G. Dias, A. M. Jorge, and C. Nunes. 2012a. GTE: A distributional second-order co-occurrence approach to improve the identification of top relevant dates. In Proceedings of the CIKM'12. ACM, 2035--2039.

Digital Library

[39]

R. Campos, A. M. Jorge, G. Dias, and C. Nunes. 2012b. Disambiguating implicit temporal queries by clustering top relevant dates in web snippets. In Proceedings of the IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology. IEEE Computer Society Press, 1--8.

Digital Library

[40]

R. Campos, G. Dias, A. M. Jorge, and C. Nunes. 2014. GTE-Cluster: A temporal search interface for implicit temporal queries. In Proceedings of the ECIR'14. Springer-Verlag. 775--779.

[41]

P.-T. Chang, Y.-C. Huang, C.-L. Yang, S.-D. Lin, and P.-J. Cheng. 2012. Learning-based time-sensitive re-ranking for web search. In Proceedings of the SIGIR'12. ACM, 1101--1102.

Digital Library

[42]

A. Chang and C. Manning. 2012. SUTIME: A library for recognizing and normalizing time expressions. In Proceedings of the LREC'12.

[43]

S. Cheng, A. Arvanitis, and V. Hristidis. 2013. How fresh do you want your search results&quest; In Proceedings of the CIKM'13. ACM, 1271--1280.

Digital Library

[44]

J. Cho and H. Garcia-Molina. 2003. Estimating frequency of change. ACM Transactions on Internet Technology 3, 3, 256--290.

Digital Library

[45]

J. Cho, S. Roy, and R. Adams. 2005. Page Quality: In search of an unbiased web ranking. In Proceedings of the SIGMOD'05. ACM, 551--562.

Digital Library

[46]

F. Costa. Processing Temporal Information in Unstructured Documents. PhD thesis, Universidade de Lisboa.

[47]

J. Cook, A. Das Sarma, A. Fabrikant, and A. Tomkins. 2012. Your two weeks of fame and your grandmother's. In Proceedings of the WWW'12. ACM, 919--928.

Digital Library

[48]

S. Cousins and M. Kahn. 1991. The visual display of temporal information. Artificial Intelligence in Medicine 3, 6, 341--357.

Digital Library

[49]

H. Cunningham, D. Maynard, K. Bontcheva, and V. Tablan. 2002. GATE: A framework and graphical development environment for robust NLP tools and applications. In Proceedings of ACL'02. Association for Computational Linguistics, 168--175.

[50]

N. Dai and B. Davison. 2010. Freshness matters: in flowers, food, and web authority. In Proceedings of the SIGIR'10. ACM, 114--121.

Digital Library

[51]

N. Dai, M. Shokouhi, and B. D. Davison. 2011. Learning to rank for freshness and relevance. In Proceedings of the SIGIR'11. ACM, 95--104.

Digital Library

[52]

W. Dakka, L. Gravano, and P. G. Ipeirotis. 2012. Answering general time sensitive queries. IEEE Transactions on Knowledge and Data Engineering, 24(2): IEEE Computer Society Press. 220--235.

Digital Library

[53]

G. Dias, R. Campos, and A. Jorge. 2011. Future retrieval: what does the future talk about&quest; In Proceedings of the ENIR'11 Workshop Associated to SIGIR'11.

[54]

G. Dias, J. G. Moreno, A. Jatowt, and R. Campos. 2012. Temporal web image retrieval. In Proceedings of the SPIRE'12. Springer-Verlag, 199--204.

Digital Library

[55]

F. Diaz. 2009. Integration of news content into web results. In Proceedings of the WSDM'09. ACM, 182--191.

Digital Library

[56]

L. Döhling and U. Leser. 2014. Extracting and aggregating temporal events from text. In Proceedings of the WWW'14. ACM, 839--844.

Digital Library

[57]

A. Dong, Y. Chang, Z. Zheng, G. Mishne, J. Bai, R. Zhang, K. Buchner, C. Liao, and F. Diaz. 2010a. Towards recency ranking in web search. In Proceedings of the WSDM'10. ACM, 11--20.

Digital Library

[58]

A. Dong, R. Zhang, P. Kolari, B. Jing, F. Diaz, Y. Chang, Z. Zheng, and H. Zha. 2010b. Time is of the essence: Improving recency ranking using twitter data. In Proceedings of the WWW'10. ACM, 331--340.

Digital Library

[59]

M. Efron and G. Golovchinsky. 2011. Estimation methods for ranking recent information. In Proceedings of the SIGIR'11. ACM, 495--504.

Digital Library

[60]

M. Efron. 2012. Query-specific recency ranking: Survival analysis for improved microblog retrieval. In Proceedings of the TAIA'12 Workshop associated to SIGIR'12.

[61]

J. L. Elsas and S. T. Dumais. 2010. Leveraging temporal dynamics of document content in relevance ranking. In Proceedings of the WSDM'10. ACM, 1--10.

Digital Library

[62]

D. Fetterly, M. Manasse, M. Najork, and J. Wiener. 2003. A large-scale study of the evolution of web pages. In Proceedings of the WWW'03. ACM, 669--678.

Digital Library

[63]

A. Garcia-Fernandez, A.-L. Ligozat, M. Dinarelli, and D. Bernhard. 2011. When was it written&quest; automatically determining publication dates. In Proceedings of the SPIRE'11. Springer-Verlag, 221--236.

Digital Library

[64]

D. Gomes, J. Miranda, and M. Costa. 2011. A survey on web archiving initiatives. In Proceedings of the TPDL'11. Springer-Verlag, 408--420.

Digital Library

[65]

D. Gomes, M. Costa, D. Cruz, J. Miranda, and S. Fontes. 2013. Creating a billion-scale searchable web archive. In Proceedings of the TempWeb'13 Workshop associated to WWW'13. 1059--1066.

Digital Library

[66]

D. Graff, J. Kong, K. Chen, and K. Maeda. 2003. English Gigaword. Linguistic Data Consortium, Philadelphia.

[67]

M. Halbwachs. 1992. On Collective Memory. University of Chicago Press.

[68]

J. Hoffart, F. M. Suchanek, K. Berberich, and G. Weikum. 2013. YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence 194, 28--61.

Digital Library

[69]

L. Hoffmann. 2013. Looking back at big data. Communications of the ACM 56, 4, 21--23.

Digital Library

[70]

H. Holzmann, G. Gossen, and N. Tahmasebi. 2012. Formerly known as—a search engine incorporating named entity evolution. In Proceedings of the Coling'12. Association for Computational Linguistics, 215--222.

[71]

T. Huet, J. Biega, and F. M. Suchanek. 2013. Mining history with le monde. In Proceedings of the AKBC'13 Workshop Associated to CIKM'13. ACM, 49--53.

Digital Library

[72]

Y. Inagaki, N. Sadagopan, G. Dupret, A. Dong, C. Liao, Y. Chang, and Z. Zheng. 2010. Session based click features for recency ranking. In Proceedings of the AAAI'10. AAAI Press, 1334--1339.

[73]

A. Jatowt, Y. Kawai, and K. Tanaka. 2007. Detecting age of page content. In Proceedings of the WIDM'07 Workshop associated to CIKM'07. ACM, 137--144.

Digital Library

[74]

A. Jatowt, H. Kawai, K. Kanazawa, K. Tanaka, and K. Kunieda. 2009. Supporting analysis of future-related information in news archives and the web. In Proceedings of the JCDL'09. ACM, 115--124.

Digital Library

[75]

A. Jatowt, H. Kawai, K. Kanazawa, K. Tanaka, and K. Kunieda. 2010. Analyzing collective view of future, time-referenced events on the web. In Proceedings of the WWW'10. ACM, 1123--1124.

Digital Library

[76]

A. Jatowt, Y. Kawai, and K. Tanaka. 2011. Calculating content recency based on timestamped and non-timestamped sources for supporting page quality estimation. In Proceedings of the SAC'11. ACM.

Digital Library

[77]

A. Jatowt and C. M. Yeung. 2011. Extracting collective expectations about the future from large text collections. In Proceedings of the CIKM'11. ACM, 1259--1264.

Digital Library

[78]

A. Jatowt, C. M. Yeung, and K. Tanaka. 2013a. Estimating document focus time. In Proceedings of the CIKM'13. ACM, 2273--2278.

Digital Library

[79]

A. Jatowt, H. Kawai, K. Kanazawa, K. Tanaka, K. Kunieda, and K. Yamada. 2013b. Multi-lingual, Longitudinal analysis of future-related information on the web. In Proceedings of the ICCC'13. IEEE Computer Society Press, 27--32.

Digital Library

[80]

P. Jin, J. Lian, X. Zhao, and S. Wan. 2008. TISE: A temporal search engine for web contents. In Proceedings of the ISIITA'08. IEEE Computer Society Press, 220--224.

Digital Library

[81]

R. Jones and F. Diaz. 2007. Temporal profiles of queries. ACM Transactions on Information Systems 25, 3, Article 14.

Digital Library

[82]

H. Joho, A. Jatowt, and R. Blanco. 2013. A survey of temporal web search experience. In Proceedings of the TempWeb'13 Workshop Associated to WWW'13. 1101--1108.

Digital Library

[83]

H. Joho, A. Jatowt, and R. Blanco. 2014. NTCIR temporalia: A test collection for temporal information access research. In Proceedings of the WWW'14. ACM, 845--850.

Digital Library

[84]

F. Jong, H. Rode, and D. Hiemstra. 2005. Temporal language models for the disclosure of historical text. In Proceedings of the AHC'05. 161--168.

[85]

B. Kahle. 1997. Preserving the internet. Scientific American Magazine 276, 3, 72--73.

[86]

K. Kanazawa, A. Jatowt, and K. Tanaka. 2011. Improving retrieval of future-related information in text collections. In Proceedings of the WI-IAT'11. IEEE Computer Society, 278--283.

Digital Library

[87]

N. Kanhabua and K. Nørvåg. 2008. Improving temporal language models for determining time of non-timestamped documents. In Proceedings of the ECDL'08. Springer-Verlag, 358--370.

Digital Library

[88]

N. Kanhabua and K. Nørvåg. 2010. Determining time of queries for re-ranking search results. Determining time of queries for re-ranking search results. In Proceedings of ECDL'10. 261--272.

Digital Library

[89]

N. Kanhabua, R. Blanco, and M. Matthews. 2011. Ranking related news predictions. In Proceedings of the SIGIR'11. ACM, 755--764.

Digital Library

[90]

N. Kanhabua and K. Nørvåg. 2012. Learning to rank search results for time-sensitive queries. In Proceedings of the CIKM'12. ACM, 2463--2466.

Digital Library

[91]

N. Kanhabua, C. Niederee, and W. Siberski. 2013. Towards concise preservation by managed forgetting: Research issues and case study. In Proceedings of the iPRES'13.

[92]

M. Karam. 1994. Visualization using timelines. In Proceedings of the ISSTA'94 associated to SIGSOFT. ACM, 125--137.

Digital Library

[93]

H. Kawai, A. Jatowt, K. Tanaka, K. Kunieda, and K. Yamada. 2010. ChronoSeeker: Search engine for future and past events. In Proceedings of the ICUIMC'10. ACM, 166--175.

Digital Library

[94]

G. Kim and E. P. Xing. 2013. Time-sensitive web image ranking and retrieval via dynamic multi-task regression. In Proceedings of the WSDM'13. ACM, 163--172.

Digital Library

[95]

M. Klein and M. L. Nelson. 2010. Evaluating methods to rediscover missing web pages from the web infrastructure. In Proceedings of the JCDL'10. ACM, 59--68.

Digital Library

[96]

A. C. König, M. Gamon, and Q. Wu. 2009. Click-through prediction for news queries. In Proceedings of the SIGIR'09. ACM, 347--354.

Digital Library

[97]

A. Kulkarni, J. Teevan, K. M. Svore, and S. T. Dumais. 2011. Understanding temporal query dynamics. In Proceedings of the WSDM'11. ACM, 167--176.

Digital Library

[98]

G. Kumaran and J. Allan. 2004. Text classification and named entities for new event detection. In Proceedings of the SIGIR'04. ACM, 297--304.

Digital Library

[99]

E. Kuzei and G. Weikum. 2012. Extraction of temporal facts and events from Wikipedia. In Proceedings of the TempWeb'12 Workshop Associated to WWW'12. ACM, 25--32.

Digital Library

[100]

B. Lee, N. H. Riche, A. K. Karlson, and S. Carpendale. 2010. SparkClouds visualizing trends in tag clouds. In IEEE Transactions on Visualization and Computer Graphics 16, 6, 1182--1189.

Digital Library

[101]

X. Li and W. B. Croft. 2003. Time-based language models. In Proceedings of the CIKM'03. ACM, 469--475.

Digital Library

[102]

H. Li, G. Xu, W. B. Croft, M. Bendersky, Z. Wang, and E. Viegas. 2012. A public dataset for promoting query representation and understanding research. In Proceedings of the WSCD'12.

[103]

X. Li, B. Liu, and P. Yu. 2008. Time sensitive ranking with application to publication search. In Proceedings of the ICDM'08. IEEE Computer Society Press, 893--898.

Digital Library

[104]

J. Makkonen and H. Ahonen-myka. 2003. Utilizing temporal information in topic detection and tracking. In Proceedings of the ECDL'03. Springer-Verlag, 393--404.

[105]

E. Manica, C. F. Dorneles, and R. Galante. 2012. Handling temporal information in web search engines. In Proceedings of the SIGMOD Record 41, 3, 15--23.

Digital Library

[106]

I. Mani and G. Wilson. 2000. Robust temporal processing of news. In Proceedings of the ACL'00. Association for Computational Linguistics, 69--76.

Digital Library

[107]

J. Masanès. 2006. Web Archiving. Springer-Verlag.

Digital Library

[108]

M. Matthews, P. Tolchinsky, R. Blanco, J. Atserias, P. Mika, and H. Zaragoza. 2010. Searching through time in the New York Times. In Proceedings of the HCIR'10 Workshop. 41--44.

[109]

P. Mazur. 2012. Broad-Coverage Rule-Based Processing of Temporal Expressions. PhD thesis, Australia Macquarie University.

[110]

F. McCown and M. L. Nelson. 2008. Recovering a website's server components from the web infrastructure. In Proceedings of the JCDL'08. ACM, 124--133.

Digital Library

[111]

M. J. Metzger. 2007. Making sense of credibility on the web: Models for evaluating online information and recommendations for future research. Journal of the American Society for Information Science and Technology 58, 13, 2078--2091.

Digital Library

[112]

D. Metzler, R. Jones, F. Peng, and R. Zhang. 2009. Improving search relevance for implicitly temporal queries. In Proceedings of the SIGIR'09. ACM, 700--701.

Digital Library

[113]

J. B. Michel, Y. K. Shen, A. P. Aiden, A. Veres, M. K. Gray, J. P. Pickett, D. Hoiberg, D. Clancy, P. Norvig, J. Orwant, S. Pinker, M. A. Nowak, and E. L. Aiden. 2011. Quantitative analysis of culture using millions of digitized books. Science 331, 6014, 176--182.

[114]

Google Books. 2014. Ngram Viewer. Available at: https://books.google.com/ngrams.

[115]

M. A. Nascimento and M. H. Dunham. 1999. Indexing valid time via B+-trees—the MAP21 approach. IEEE Transactions on Knowledge and Engineering 11, 6, 929--947.

Digital Library

[116]

A. Ntoulas, J. Cho, and C. Olston. 2004. What's new on the web&quest;: The evolution of the web from a search engine perspective. In Proceedings of the WWW'04. ACM, 1--12.

Digital Library

[117]

S. Nunes, C. Ribeiro, and G. David. 2007. Using neighbors to date web documents. In Proceedings of the WIDM'07 Workshop Associated to CIKM'07. ACM, 129--136.

Digital Library

[118]

S. Nunes, C. Ribeiro, and G. David. 2008. Use of temporal expressions in web search. In Proceedings of the ECIR'08. Springer-Verlag. 580--584.

Digital Library

[119]

D. Odijk, G. Santucci, M. de Rijke, M. Angelini, and G. Granato. 2012. Exploring word meaning through time. In Proceedings of the TAIA'12 Workshop Associated to SIGIR'12.

[120]

M. Osborne, S. Petrovic, R. McCreadie, C. Macdonald, and I. Ounis. 2012. Bieber no more: First story detection using Twitter and Wikipedia. In Proceedings of the TAIA'12 Workshop Associated to SIGIR'12.

[121]

F. Palermo, J. Hays, and A. A. Efros. 2012. Dating historical color images. In Proceedings of the ECCV'12. Springer-Verlag, 499--512.

Digital Library

[122]

M. Pasca. 2008. Towards Temporal Web Search. In Proceedings of the ACM Symposium on Applied Computing. ACM, 1117--1121.

Digital Library

[123]

J. Perkiö, W. Buntine, and H. Tirri. 2005. A temporally adaptative content-based relevance ranking algorithm. In Proceedings of the SIGIR'05. ACM, 647--648.

Digital Library

[124]

C. Plaisant, B. Milash, A. Rose, S. Widoff, and B. Shneiderman. 1996. LifeLines: Visualizing personal histories. In Proceedings of the SIGCHI'96. ACM, 221--227.

Digital Library

[125]

J. M. Ponte and W. B. Croft. 1998. A language modeling approach to information retrieval. In Proceedings of the SIGIR'98. ACM, 275--281.

Digital Library

[126]

J. Pustejovsky, J. Castaño, R. Ingria, R. Sauri, R. J. Gaizauskas, A. Setzer, and G. Katz. 2003. TimeML: Robust specification of event and temporal expression in text. In Proceedings of the IWCS'03. 28--34.

[127]

J. Pustejovsky, M. Verhagen, R. Sauri, J. Littman, R. J. Gaizauskas, G. Katz, I. Mani, R. Knippen, and A. Setzer. 2006. TimeBank 1.2. In Proceedings of the Linguistic Data Consortium.

[128]

K. Radinsky, E. Agichtein, E. Gabrilovich, and S. Markovitch. 2011. A word at a time: computing word relatedness using temporal semantic analysis. In Proceedings of the WWW'11. ACM 337--346.

Digital Library

[129]

K. Radinsky and E. Horvitz. 2013. Mining the web to predict future events. In Proceedings of the WSDM'13. ACM, 255--264.

Digital Library

[130]

K. Radinsky, F. Diaz, S. Dumais, M. Shokouhi, A. Dong, and Y. Chang. 2013. Temporal web dynamics and its application to information retrieval. In Proceedings of the WSDM'13. Rome, Italy: ACM, 781--782.

Digital Library

[131]

R. Reinanda, D. Odijk, and M. de Rijke. 2012 Exploring entity associations over time. In Proceedings of the TAIA'12 Workshop Associated to SIGIR'12.

[132]

H. SalahEldeen and M. L. Nelson. 2013a. Carbon dating the web: Estimating the age of web resources. In Proceedings of the WWW'13. ACM, 1075--1082.

Digital Library

[133]

H. SalahEldeen and M. L. Nelson. 2013b. Reading the correct history&quest;: Modeling temporal intention in resource sharing. In Proceedings of the JCDL'13. ACM, 257--266.

Digital Library

[134]

T. Sakaki, M. Okazaki, and Y. Matsuo. 2010. Earthquake shakes Twitter users: Real-time event detection by social sensors. In Proceedings of the WWW'10. ACM. 851--860.

Digital Library

[135]

E. Sandhaus. 2008. The New York Times Annotated Corpus. Linguistic Data Consortium. Philadelphia.

[136]

F. Schilder and C. Habel. 2005. From temporal expressions to temporal information: Semantic tagging of news messages. In I. Mani, J. Pustejovsky, and R. Gaizauskas (eds.), The Language of Time: A Reader. Oxford University Press, 533--544.

[137]

A. Setzer and R. J. Gaizauskas. 2000. Annotating events and temporal information in newswire texts. In Proceedings of the LREC'00.

[138]

B. Shaparenko, R. Caruana, J. Gehrke, and T. Joachims. 2005. Identifying temporal patterns and key players in document collections. In Proceedings of the TDM'05 Workshop Associated to ICDM'05. IEEE Computer Society Press, 165--174.

[139]

M. Shokouhi. 2011. Detecting seasonal queries by time-series analysis. In Proceedings of the SIGIR'11. ACM, 1171--1172.

Digital Library

[140]

M. Shokouhi and K. Radinsky. 2012. Time-sensitive query auto-completion. In Proceedings of the SIGIR'12. ACM, 601--610.

Digital Library

[141]

R. Snodgrass and I. Ahn. 1985. A taxonomy of time databases. In Proceedings of the SIGMOD'85. ACM, 236--246.

Digital Library

[142]

S. Song and J. JaJa. 2008. Archiving Temporal Web Information: Organization of Web Contents for Fast Access and Compact Storage. Technical Report UMIACS-TR-2008-08, University of Maryland Institute for Advanced Computer Studies, Maryland, MD.

[143]

J. Strötgen and M. Gertz. 2010a. HeidelTime: High quality rule-based extraction and normalization of temporal expressions. In Proceedings of the IWSE'10 Associated to ACL'10. 321--324.

Digital Library

[144]

J. Strötgen and M. Gertz. 2010b. TimeTrails: A system for exploring spatio-temporal information in documents. In Proceedings of the VLDB Endowment: VLDB Endowment. 3, 1--2, 1569--1572.

Digital Library

[145]

J. Strötgen and M. Gertz. 2012. Multilingual and cross-domain temporal tagging. Language Resources and Evaluation. 1--30.

[146]

J. Strötgen and M. Gertz, Proximity²-aware ranking for textual, temporal, and geographic queries. In Proceedings of CIKM'13. ACM, 739--744.

Digital Library

[147]

J. Strötgen, O. Alonso, and M. Gertz. 2012. Identification of top relevant temporal expressions in documents. In Proceedings of the TempWeb'12 Workshop associated to WWW'12. ACM, 33--40.

Digital Library

[148]

F. M. Suchanek, G. Kasneci, and G. Weikum. 2007. Yago: A core of semantic knowledge. In Proceedings of the WWW'07. ACM, 697--706.

Digital Library

[149]

K. M. Svore, J. Teevan, S. T. Dumais, and A. Kulkarni. 2012. Creating temporally dynamic web search snippets. In Proceedings of the SIGIR'12. ACM, 1045--1046.

Digital Library

[150]

R. Swan and J. Allan. 1999. Extracting significant time-varying features from text. In Proceedings of the CIKM'99. ACM, 38--45.

Digital Library

[151]

R. Swan and D. Jensen. 2000. TimeMines: Constructing timelines with statistical models of word usage. In Proceedings of the TM'00 Workshop Associated to KDD'00. ACM, 73--80.

[152]

A. Styskin, F. Romanenko, F. Vorobyev, and P. Serdyukov. 2011. Recency ranking by diversification of result set. In Proceedings of the CIKM'11. ACM, 1949--1952.

Digital Library

[153]

N. Tahmasebi, G. Gossen, N. Kanhabua, H. Holzmann, and T. Risse. 2012. NEER: An unsupervised method for named entity evolution recognition. In Proceedings of the Coling'12. Association for Computational Linguistics, 2553--2568.

[154]

H. Takemura and K. Tajima. 2012. Tweet classification based on their lifetime duration. In Proceedings of the CIKM'12. ACM, 2367--2370.

Digital Library

[155]

P. P. Talukdar, D. Wijaya, and T. Mitchell. 2012. Coupled temporal scoping of relational facts. In Proceedings of the WSDM'12. ACM, 73--82.

Digital Library

[156]

M. Toyoda and M. Kitsuregawa. 2006. What's really new on the web&quest; Identifying new pages from a series of unstable web snapshots. In Proceedings of the WWW'06. ACM, 233--241.

Digital Library

[157]

J. Ugander, B. Karrer, L. Backstrom, and C. Marlow. 2011. The anatomy of the Facebook social graph. Computing Research Repository Journal. CoRR abs/1111.4503.

[158]

N. UzZaman, H. Llorens, L. Derczynski, M. Verhagen, J. Allen, and J. Pustejovsky. 2013. SemEval-2013 task 1: TempEval-3: Evaluating events, time expressions, and temporal relations. In Proceedings of the SemVal'13 Workshop. ACM, 1--9.

[159]

H. Van de Sompel, M. L. Nelson, R. Sanderson, L. L. Balakireva, S. Ainsworth, and H. Shankar. 2009. Memento: Time travel for the web. CoRR abs/0911.1112.

[160]

P.-Y. Vandenbussche and C. Teissèdre. 2011. Events retrieval using enhanced semantic web knowledge. In Proceedings of the DeRiVE'11 Workshop Associated to ISWC 2011.

[161]

M. T. Vicente-Diez and P. Martinez. 2009. Temporal semantics extraction for improving web search. In Proceedings of the DEXA'09. IEEE, 69--73.

Digital Library

[162]

M. Vlachos, C. Meek, Z. Vagena, and D. Gunopulos. 2004. Identifying similarities, periodicities and bursts for online search queries. In Proceedings of the ICMD'04. ACM, 131--142.

Digital Library

[163]

Y. Wang, M. Zhu, L. Qu, M. Spaniol, and G. Weikum. 2010. Timely YAGO: Harvesting, querying, and visualizing temporal knowledge from Wikipedia. In Proceedings of the EDBT'10. ACM, 697--700.

Digital Library

[164]

Y. Wang, B. Yang, L. Qu, M. Spaniol, and G. Weikum. 2011. Harvesting facts from textual web sources by constrained label propagation. In Proceedings of the CIKM'11. ACM, 837--846.

Digital Library

[165]

Y. Wang, D. Maximilian, M. Spaniol, and G. Weikum. 2012. Coupling label propagation and constraints for temporal fact extraction. In Proceedings of the ACL'12. Association for Computational Linguistics. 233--237.

Digital Library

[166]

W. Weerkamp and M. de Rijke. 2012. Activity prediction: A Twitter-based Exploration. In Proceedings of the TAIA'12 Workshop Associated to SIGIR'12.

[167]

S. Whiting and O. Alonso. 2012. Hashtags as milestones in time. In Proceedings of the TAIA'12 Workshop Associated to SIGIR'12.

[168]

S. Whiting, J. Jose, and O. Alonso. 2014. Wikipedia as a time machine. In Proceedings of the WWW'14. ACM, 857--861.

Digital Library

[169]

Yahoo. 2014. Yahoo&excl;'s Time Explorer. Available at: http://fbmya01.barcelonamedia.org:8080/future/.

[170]

Y. Yamamoto, T. Tezuka, A. Jatowt, and K. Tanaka. 2007. Honto&quest; Search: Estimating trustworthiness of web information by search results aggregation and temporal analysis. In Proceedings of the Joint 9th Asia-Pacific Web and 8th International Conference on Web-age Information Management Conference on Advances in Data and Web Management. 253--264.

Digital Library

[171]

R. Zhang, Y. Chang, Z. Zheng, D. Metzler, and J.-Y. Nie. 2009. Search result re-ranking by feedback control adjustment for time-sensitive query. In Proceedings of the NAACL-HLT'09. Association for Computational Linguistics, 165--168.

Digital Library

[172]

R. Zhang, Y. Konda, A. Dong, P. Kolari, Y. Chang, and Z. Zheng. 2010. Learning recurrent event queries for web search. In Proceedings of the EMNLP'10. Association for Computational Linguistics, 1129--1139.

Digital Library

[173]

J. Zobel and A. Moffat. 2006. Inverted files for text search engines. ACM Computing Surveys 38, 2, 1--56.

Digital Library

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 47, Issue 2

January 2015

827 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2658850

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering/University of Florida/Gainesville

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Publication History

Published: 25 August 2014

Accepted: 01 May 2014

Revised: 01 September 2013

Received: 01 May 2013

Published in CSUR Volume 47, Issue 2

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https://dl.acm.org/doi/10.1145/3701551.3704119
Rajamani SIyer R(2024)Using Complex Network Analysis Techniques to Uncover Fraudulent Activity in Connected Healthcare SystemsPractical Applications of Data Processing, Algorithms, and Modeling10.4018/979-8-3693-2909-2.ch019(244-268)Online publication date: 14-Jun-2024
https://doi.org/10.4018/979-8-3693-2909-2.ch019
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https://dl.acm.org/doi/10.1145/3673791.3698409
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Gao ZLi XLiu CWang XWang AYang LWang YHui PBraud T(2023)VR PreM+: An Immersive Pre-learning Branching Visualization System for Museum ToursProceedings of the Eleventh International Symposium of Chinese CHI10.1145/3629606.3629643(374-385)Online publication date: 13-Nov-2023
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