Analysis on the semantic relationships in event structures on the basis of ontology

Ontology is a distinct, canonical and shared system of concepts, which is oriented to objects （fields）. Nowadays, every discipline or field attaches great importance to establishing and applying ontology for research. And ontologies that related to linguistics are WordNet by cognitive linguist Prof. Miller from PrincetonUniversity, FrameNet by Prof. Fillmore from California University, Berkeley, GOLD （General Ontology for Language Description） by Dr. Farrar from Arizona University and DOLCE （Descriptive Ontology for Linguistic and Cognitive Engineering） by CNR cognitive science and technology research centre of Italy, etc. This article focuses on event structures hot discussed in cognitive linguistics, through an ontologically analytical approach, and gives a systematic description on the concepts and semantic relationships involved in the event structures. Any event structure can be represented through the 7S schema. ＂For some purpose, somebody does something for someone with some means, sometimes and somewhere＂. Therefore, an event consists of 7 conceptual domains： purpose, actor, action, object, facility, location and time. In the article, the main concepts of the 7 domains and over 20 semantic relationships between these domains are described in detail and illustrated by some examples.

Musical Event Structure Metaphors in Beckett＇s Ghost Trio

Samuel Beckett＇ s dramaticles are permeated with musical aesthetic thought, which is one of his unique writing styles. Exploration of such style is beneficial and conducive to deepen our understanding of the abstract and fragmented dramatic discourse. This thesis makes attempt to investigate musical aesthetic thought from the angle of the Event Structure Metaphor.

Causation mechanism of coal miners' human errors in the perspective of life events

In order to effectively decrease the safety accidents caused by coal miners’human errors,this paper probes into the causality between human errors and life events,coping,psychological stress,psychological function,physiological function based on life events’vital influence on human errors,establishing causation mechanism model of coal miners’human errors in the perspective of life events by the researching method of structural equation.The research findings show that life events have significantly positive influence on human errors,with a influential effect value of 0.7945 and a influential effect path of‘‘life events—psychological stress—psychological function—physiological function—human errors’’and‘‘life events—psychological stress—physiological function—human errors’’.

Event-Based Operational Semantics and a Consistency Result for Real-Time Concurrent Processes with Action Refinement

In this paper an event-based operational interleaving semantics is proposed for real-time processes, for which action refinement and a denotational true concurrency semantics are developed and defined in terms of timed event structures. The authors characterize the timed event traces that are generated by the operational semantics in a denotational way, and show that this operational semantics is consistent with the denotational semantics in the sense that they generate the same set of timed event traces, thereby eliminating the gap between the true concurrency and interleaving semantics. Keywords action refinement - real-time process algebra - semantics - timed event structure - formal method This work was supported by the National Natural Science Foundation of China (Grant No. 60373113) and the “Hundred-Talent Program” of Chinese Academy of Sciences.Xiu-Li Sun was born in 1975. She received her B.S. degree in 1998 and M.S. degree in 2002 from Taiyuan University of Technology, Shanxi. She is studying in the Institute of Computer Application, Chengdu for her doctorate.Wen-Ying Zhang was born in 1972. Now he is a Ph.D. candidate of Computer Application, the Chinese Academy of Sciences. His current research interests include formal verification, digital watermarking and pattern recognition.Jin-Zhao Wu was born in 1965. He obtained his Ph.D. degree in 1994 from the Institute of System Science, CAS. From 1994 to 1999 he was a postdoctoral researcher. His research interests include formal specification and verification, automatic reasoning, logic programming.

A Text Correlation Algorithm for Stock Market News Event Extraction

To extract effective information in massive financial news,this paper proposes amethod to calculate the correlation between text and text set by extracting structured events in the stockmarket news text,and provides more detailed and interpretable information.First,the structured event triplet was extracted from the text set,and the trained word vector was used to represent the event triplet as an event vector.Event vectors were clustered,the cosine distances were calculated for the cluster centers,and the correlation between the text sets was determined by matching.Finally,the event triplets with the highest correlation between the text sets were selected to provide explanation information for the calculation results.Experimental results show that this method effectively measures the correlation between text and text set.