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Information Filtering and Retrieval pp 1–12Cite as

Time Event Extraction to Boost an Information Retrieval System

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 668))

Abstract

In this chapter we propose an innovative information retrieval system able to manage temporal information. The system allows temporal constraints in a classical keyword-based search. Information about temporal events is automatically extracted from text at indexing time and stored in an ad-hoc data structure exploited by the retrieval module for searching relevant documents. Our system can search textual information that refers to specific period of times. We perform an exploratory case study indexing all Italian Wikipedia articles.

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Notes

  1. 1.

    https://github.com/pippokill/TAIR.

  2. 2.

    http://lucene.apache.org/.

  3. 3.

    https://code.google.com/p/heideltime/.

  4. 4.

    http://lucene.apache.org/core/4_8_1/queryparser/org/apache/lucene/queryparser/classic/package-summary.html.

References

  1. Alonso, O., Gertz, M.: Clustering of search results using temporal attributes. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 597–598. ACM (2006)

    Google Scholar 

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

    Article  Google Scholar 

  3. Alonso, O., Gertz, M., Baeza-Yates, R.: Clustering and exploring search results using timeline constructions. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM ’09, pp. 97–106. ACM (2009)

    Google Scholar 

  4. Alonso, O., Strötgen, J., Baeza-Yates, R.A., Gertz, M.: Temporal information retrieval: challenges and opportunities. In: Proceedings of the 1st International Temporal Web Analytics Workshop (TWAW 2011), vol. 11, pp. 1–8 (2011)

    Google Scholar 

  5. Arikan, I., Bedathur, S.J., Berberich, K.: Time will tell: leveraging temporal expressions in IR. In: Baeza-Yates, R.A., Boldi, P., Ribeiro-Neto, B.A., Cambazoglu, B.B. (eds.) Proceedings of the 2ND International Conference on Web Search and Web Data Mining, WSDM 2009, Barcelona, Spain, February 9–11, 2009. ACM (2009)

    Google Scholar 

  6. Berberich, K., Bedathur, S., Alonso, O., Weikum, G.: A language modeling approach for temporal information needs. In: Proceedings of the 32nd European Conference on Advances in Information Retrieval, ECIR’2010, pp. 13–25. Springer (2010)

    Google Scholar 

  7. Campos, R., Dias, G., Jorge, A.M., Jatowt, A.: Survey of temporal information retrieval and related applications. ACM Comput. Surv. 47(2), 15:1–15:41 (2014)

    Google Scholar 

  8. Chang, A.X., Manning, C.D.: SUTime: a library for recognizing and normalizing time expressions. In: LREC, pp. 3735–3740 (2012)

    Google Scholar 

  9. Elsas, J.L., Dumais, S.T.: Leveraging temporal dynamics of document content in relevance ranking. In: Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, WSDM ’10, pp. 1–10. ACM (2010)

    Google Scholar 

  10. Hienert, D., Luciano, F.: Extraction of historical events from Wikipedia. In: Proceedings of the First International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data, pp. 25–36 (2011)

    Google Scholar 

  11. Hobbs, J.R., Pan, F.: An ontology of time for the semantic web. ACM Trans. Asian Lang. Inf. Process. (Special Issue on Temporal Information Processing) 3(1), 66–85 (2004)

    Google Scholar 

  12. Hoffart, J., Suchanek, F.M., Berberich, K., Weikum, G.: YAGO2: a spatially and temporally enhanced knowledge base from Wikipedia. Artif. Intell. 194, 28–61 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  13. Kanhabua, N., Nørvåg, K.: Learning to rank search results for time-sensitive queries. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM ’12, pp. 2463–2466. ACM (2012)

    Google Scholar 

  14. Kuzey, E., Weikum, G.: Extraction of temporal facts and events from Wikipedia. In: Proceedings of the 2nd Temporal Web Analytics Workshop, pp. 25–32. ACM (2012)

    Google Scholar 

  15. Ling, X., Weld, D.S.: Temporal information extraction. In: Proceedings of the 24th Conference on Artificial Intelligence (AAAI 2010). Atlanta, GA (2010)

    Google Scholar 

  16. Matthews, M., Tolchinsky, P., Blanco, R., Atserias, J., Mika, P., Zaragoza, H.: Searching through time in the New York Times. In: Proceedings of the Fourth Workshop on Human-Computer Interaction and Information Retrieval (HCIR 10), pp. 41–44 (2010)

    Google Scholar 

  17. Nunes, S., Ribeiro, C., David, G.: Use of temporal expressions in web search. In: Proceedings of the IR Research, 30th European Conference on Advances in Information Retrieval, ECIR’08, pp. 580–584. Springer (2008)

    Google Scholar 

  18. Pustejovsky, J., Castano, J.M., Ingria, R., Sauri, R., Gaizauskas, R.J., Setzer, A., Katz, G., Radev, D.R.: TimeML: robust specification of event and temporal expressions in text. New Dir. Quest. Answ. 3, 28–34 (2003)

    Google Scholar 

  19. Saurí, R., Knippen, R., Verhagen, M., Pustejovsky, J.: Evita: A robust event recognizer for QA systems. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, pp. 700–707. ACL (2005)

    Google Scholar 

  20. Strötgen, J., Zell, J., Gertz, M.: HeidelTime: tuning english and developing Spanish resources for TempEval-3. In: 2nd Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the 7th International Workshop on Semantic Evaluation, pp. 15–19. ACL (2013)

    Google Scholar 

  21. UzZaman, N., Llorens, H., Derczynski, L., Allen, J., Verhagen, M., Pustejovsky, J.: Semeval-2013 task 1: Tempeval-3: Evaluating time expressions, events, and temporal relations. In: 2nd Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the 7th International Workshop on Semantic Evaluation, pp. 1–9. ACL (2013)

    Google Scholar 

  22. Vandenbussche, P.Y., Teissèdre, C.: Events retrieval using enhanced semantic web knowledge. In: Workshop DeRIVE 2011 (Detection, Representation, and Exploitation of Events in the Semantic Web) in cunjunction with 10th International Semantic Web Conference 2011 (ISWC 2011) (2011)

    Google Scholar 

  23. Verhagen, M., Sauri, R., Caselli, T., Pustejovsky, J.: SemEval-2010 Task 13: TempEval-2. In: Proceedings of the 5th International Workshop on Semantic Evaluation, pp. 57–62. ACL (2010)

    Google Scholar 

  24. Whiting, S., Jose, J., Alonso, O.: Wikipedia as a time machine. In: Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion, pp. 857–862. International World Wide Web Conferences Steering Committee (2014)

    Google Scholar 

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Acknowledgments

The computational work has been executed on the IT resources made available by two projects financed by the MIUR (Italian Ministry for Education, University and Research) in the “PON Ricerca e Competitività 2007–2013” Program: ReCaS (Azione I —Interventi di rafforzamento strutturale, PONa3_00052, Avviso 254/Ric) and PRISMA (Asse II—Sostegno all’innovazione, PON04a2_A).

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Authors and Affiliations

  1. Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro & Lucia Siciliani

Authors
  1. Pierpaolo Basile
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  2. Annalina Caputo
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  3. Giovanni Semeraro
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  4. Lucia Siciliani
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Corresponding author

Correspondence to Pierpaolo Basile .

Editor information

Editors and Affiliations

  1. Parco Scientifico e Technologico della Sardegna, Center of Advanced Studies, Research and Development in Sardinia (CRS4), Pula, Italy

    Cristian Lai

  2. Dept. of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

    Alessandro Giuliani

  3. Dept. of Computer Science , University of Bari Aldo Moro, Bari, Italy

    Giovanni Semeraro

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Basile, P., Caputo, A., Semeraro, G., Siciliani, L. (2017). Time Event Extraction to Boost an Information Retrieval System. In: Lai, C., Giuliani, A., Semeraro, G. (eds) Information Filtering and Retrieval. Studies in Computational Intelligence, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-319-46135-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-46135-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46133-5

  • Online ISBN: 978-3-319-46135-9

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