Abstract
Temporal information indexing is a specialization of general information indexing, which aims at creation of: clear, concise, correct and comprehensive representations of document important features, with respect to possible information needs. In case of temporal indexing, temporal features represent so called, time horizon or valid time of information, i.e. time period, to which information presented in a document relates.
Approaches to temporal information indexing are based mainly on temporal expressions extracted from document contents. This method, although satisfactory for many applications, is very limited. Temporal expressions are only one of many means of relating information to time used in written language.
In this paper, the possibility of temporal information indexing based on other, more broad and frequent document temporal feature is evaluated. Soundness and effectiveness of temporal indexing based on document syntactic features is presented.
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References
Abramowicz, W., Kalczynski, P., Kaczmarek, T., Wecel, K.: Time-indexer: a tool for extracting temporal references from text documents. In: The Information Resources Management Assciation International Conference 2003, pp. 832–835 (2003)
Abramowicz, W., Kalczynski, P.J., Wecel, K.: Filtering the Web to Feed Data Warehouses. Springer, New York, Inc., Secaucus, NJ, USA (2002)
Allen, J.F.: Maintaining knowledge about temporal intervals. Commun. ACM 26(11), 832–843 (1983)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison Wesley, Reading (1999)
Dalli, A., Wilks, Y.: Automatic dating of documents and temporal text classification. In: Proceedings of the Workshop on Annotating and Reasoning about Time and Events. Association for Computational Linguistics, Sydney, Australia, July 2006, pp. 17–22 (2006)
Euzenat, J., Montanari, A.: Handbook of Temporal Reasoning in Artificial Intelligence. In: Time Granularity, Elsevier Science Inc., Amsterdam (2005)
Ferro, L., Gerber, L., Mani, I., Sundheim, B., Wilson, G.: TIDES 2005 Standard for the Annotation of Temporal Expressions (2005)
Freksa, C.: Temporal reasoning based on semi-intervals. Artif. Intell. 54(1-2), 199–227 (1992)
Ingwersen, P.: Information Retrieval Interaction. Taylor Graham (1992)
Kalczynski, P.J., Chou, A.: Temporal document retrieval model for business news archives. Inf. Process. Manage. 41(3), 635–650 (2005)
Llavori, R.B., Cabo, M.J.A., Barber, F.: Discovering temporal relationships in databases of newspapers. In: IEA/AIE 1998: Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, London, UK, pp. 36–45. Springer, Heidelberg (1998)
Llido, D., Llavori, R.B., Cabo, M.J.A.: Extracting temporal references to assign document event-time periods. In: Mayr, H.C., Lazanský, J., Quirchmayr, G., Vogel, P. (eds.) DEXA 2001. LNCS, vol. 2113, pp. 62–71. Springer, Heidelberg (2001)
Mandel, M., Walker, C.: Time Annotation Guidelines For Less Commonly Taught Languages (2006)
Mani, I., Wilson, G.: Robust temporal processing of news. In: ACL 2000: Proceedings of the 38th Annual Meeting on Association for Computational Linguistics. Association for Computational Linguistics, Morristown, NJ, USA, pp. 69–76 (2000)
Mizzaro, S.: How many relevances in information retrieval? Interacting with Computers 10(3), 303–320 (1998)
Nagypal, G.: Improving information retrieval effectiveness by using domain knowledge stored in ontologies. In: OTM Workshops, pp. 780–789 (2005)
Ning, P., Wang, X.S., Jajodia, S.: An algebraic representation of calendars. Annals of Mathematics and Artificial Intelligence 36(1-2), 5–38 (2002)
Roubos, H., Setnes, M., Abonyi, J.: Learning fuzzy classification rules from data. In: RASC conference (2000)
Sauri, R., Littman, J., Knippen, B., Gaizauskas, R., Setzer, A., Pustejovsky, J.: TimeML 1.2.1 A Formal Specification Language for Events and Temporal Expressions (2005)
Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34(1), 1–47 (2002)
Swan, R., Allan, J.: Automatic generation of overview timelines. In: SIGIR 2000: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, pp. 49–56. ACM Press, New York (2000)
Vila, L.: Handbook of Temporal Reasoning in Artificial Intelligence. In: Formal Theories of Time and Temporal Incidence, Elsevier Science Inc., Amsterdam (2005)
Weiss, D.: Stempelator: A Hybrid Stemmer for the Polish Language. Technical Report RA-002/05, Institute of Computing Science, Poznan University of Technology, Poland (2005)
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Bassara, A. (2008). Language Model Based Temporal Information Indexing. In: Abramowicz, W., Fensel, D. (eds) Business Information Systems. BIS 2008. Lecture Notes in Business Information Processing, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79396-0_3
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DOI: https://doi.org/10.1007/978-3-540-79396-0_3
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