Techniques for searching future events

Details Techniques for searching future events Techniques for searching future events

2006-08-11

2010-02-23

Ali, Mohammad (Department: 2158)

Data processing: database and file management or data structures

Database design

Data structure types

Reexamination Certificate

active

07668813

ABSTRACT:
A future retrieval system operable to enable searching for future events associated with a set of documents includes at least one memory device configured to store a database of the documents. The system identifies future events associated with the documents and generates temporal data and a confidence value for each future event. The confidence value represents a likelihood of occurrence for the corresponding future event. The system evaluates text associated with the future events to generate event metadata, and indexes the documents with the associated event metadata, temporal data, and confidence levels in the database. The system generates search results corresponding to selected ones of the documents in the database in response to queries which include references to future times, and ranks the search results in accordance with the confidence values associated with the future events associated with the selected documents.

REFERENCES:
patent: 6631373 (2003-10-01), Otani et al.
patent: 7039631 (2006-05-01), Finger, II
Ricardo Baeza-Yates, Searching the Future, Jan. 2004, Center for Web Research Dept. of Computer Science, University of Chile, 6 pages, Applicant's IDS.
Ricardo Baeza-Yates, Challenges in the Interaction of Information Retrieval and Natural Language Processing , 2004, Springer Berlin / Heidelberg, vol. 2945/2004, pp. 445-456 (http://www.springerlink.com/content/2c86t1ka6uk62087/).
Ahmad, P. de Oliveira, P. Manomaisupat, M. Casey, T. Taskaya. Description of Events: An Analysis of Keywords and Indexical Names. InProceedings, Third International Conference on Language Resources and Evaluation, LREC 2002: Workshop on Event Modelling for Multilingual Document Linking,pp. 29-35, 2002.
Allan J., editor. Topic Detection and Tracking: Event-based Information Organization, Kluwer, 2002.
Baeza-Yates, Challenges in the Interaction of Information Retrieval and Natural Language Processing, Technical Report, CS Dept. niversity of Chile, Feb. 2004.
Baeza-Yates, Searching the Future, Technical Report, CS Dept. University of Chile, Jan. 2004.
Dale, H. Moisl, and H. Somers, editors. Handbook of Natural Language Processing, Marcel Dekker, NY, 2000.
Date, H. Darwen, and N. Lorentzos. Temporal Data & the Relational Model, Morgan Kaufmann, 2002.
Gregersen, C.S. Jensen. Temporal Entity-Relationship Models-A Survey.IEEE Transactions on Knowledge and Data Engineeringpp. 464-497, 1999.
Kroha, R. Baeza-Yates. A Case Study: News Classi—cation Based on Term Frequency.Sixth International Workshop on Theory and Applications of Knowledge Management(TAKMA 2005), Copenhagen, Denmark, Aug. 2005.
Lavrenko, M. Schmill, D. Lawrie, P. Ogilvie, D. Jensen, and J. Allan. Language models for—nancial news recommendation. InProceedings of the ninth international conference on Information and knowledge management,VA, pp. 389-396, 2000.
Lavrenko, M. Schmill, D. Lawrie, P. Ogilvie, D. Jensen, and J. Allan. Mining of Concurrent Text and Time-Series, InKDD-2000 Workshop on Text Mining,Boston, MA, 2000.
Lent, R. Agrawal, R. Srikant. Discovering Trends in Text Databases, InProc. 3rd Int. Conf. Knowledge Discovery and Data Mining,D. Heckerman, H. Mannila, and D. Pregibon, and R. Uthurusamy, editors. AAAI Press, pp. 227.230, 1997.
Macskassy, and F. Provost. Intelligent information triage. InProceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval,New Orleans, LA, pp. 318.326, 2001.
Nahm, and R.J. Mooney. Text Mining with Information Extraction. InProceedings of the AAA 2002 Spring Symposium on Mining Answers from Texts and Knowledge Bases,pp. 60-67, Stanford, CA, Mar. 2002.
Pazienza, J.G. Carbonell, and J. Siekmann, editors. Information Extraction: Towards Scalable, Adaptable Systems, LNAI, Springer, 1999.
Pazienza, editor. Information Extraction in the Web Era: Natural Language Communication for Knowledge Acquisition and Intelligent Information Agents, LNAI 1714, Springer, 2003.
Permunetilleke, and R.K. Wong. Currency exchange rate forecasting from news headlines. InProceedings of the thirteenth Australasian conference on Database technologies,vol. 5, pp. 131-139, 2002.
Schilder, and Chr. Habel. Temporal information extraction for temporal question answering. InProceedings of the 2003 AAAI Spring Symposium in New Directions in Question Answering,Stanford University, CA, 2003.
Schilder, Temporal Expressions to Temporal Information: Semantic Tagging of News Messages.In Proceedings of ACL'01 workshop on temporal and spatial information proceessings,pp. 65-72, Toulouse, France, 2001.
Tansel, Clifford, Gadia, Jajodia, Segev, and Snodgrass, editors.Temporal databases: theory, design, and implementation,Benjamin-Cummings, CA, USA, 1993.
Wuthrich, D. Permunetilleke, S. Leung, W. Lam, V. Cho, and J. Zhang. Daily Prediction of Major Stock Indices from textual WWWData,HKIE Transactions,vol. 5, No. 3, pp. 151-156, 1998.

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