Building text-based temporally linked event network for scientific big data analytics. Issue 5 (October 2016)

• Record Type: Journal Article
• Authors: Zhang, Junsheng; Yao, Changqing; Sun, Yunchuan; Fang, Zengquan
• Is Part Of: Personal and ubiquitous computing. Volume 20:Issue 5(2016)
• Page Start: 743
• Page End: 755
• Publication Date: 2016-10
• Subjects: Event -- Information analytics -- Temporal information -- Temporal relation reasoning -- Big data; Mobile computing -- Periodicals; Portable computers -- Periodicals; Human-computer interaction -- Periodicals; 004.16
• DOI: 10.1007/s00779-016-0940-x
• Languages: English
• ISSNs: 1617-4909

Abstract

Abstract Events formulate the world of the human being and could be regarded as the semantic units in different granularities for information organization. Extracting events and temporal information from texts plays an important role for information analytics in big data because of the wide use of multilingual texts. This paper surveys existing research work on text-based event temporal resolution and reasoning including identification of events, temporal information resolutions of events in English and Chinese texts, the rule-based temporal relation reasoning between events and relevant temporal representations. For the scientific big data analytics, we point out the shortcomings of existing research work and give the argument about the future research work for advancing identification of events, establishment of temporal relations and reasoning of temporal relations.