Back to the future: A logical framework for temporal information representation and inferencing from financial news

Zi Huang, Kara Fai Wong, Wenjie Li, Dawei Song, Peter Bruza

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Temporal information carries information about changes and time of the changes. Consider a company investing in another company. The former may choose to inject the money gradually with the amount and frequency depending on the performance of the latter. This shows that an event can be completed in multiple steps and at any given time before completion, it is partially completed. Thus, the status of an event at any time could be described by some degree of completion. One can make inference based on such temporal information to predict what event(s) would.likely happen next. The prediction could be made not only based on the completed or partially completed events in the past, but also based on the correlation between the events, which have taken place (i.e. executed events), and the ones planned (i.e. planned events). This process of making inference based on the executed and planned temporal events is described lively as "Back to the Future" and can be considered as part of the formally-called temporal information inference. Existing temporal information processing frameworks (e.g., temporal database, temporal information extraction, and temporal logic), however, are ineffective for this purpose. This paper defines a novel logical framework for two-dimensional (i.e., executed and planned time lines) temporal information representing and inferencing. An operational model realising the logical framework in financial news data is also addressed.
Original languageEnglish
Title of host publicationNLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings
PublisherIEEE
Pages95-101
Number of pages7
ISBN (Electronic)0780379020, 9780780379022
DOIs
Publication statusPublished - 1 Jan 2003
EventInternational Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003 - Beijing Media Center, Beijing, China
Duration: 26 Oct 200329 Oct 2003

Conference

ConferenceInternational Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003
CountryChina
CityBeijing
Period26/10/0329/10/03

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software

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