A temporal ordering specification of some session services

1984 ◽  
Author(s):  
Vincenza Carchiolo ◽  
Alberto Faro ◽  
Giuseppe Scollo
Keyword(s):  
Temporal Ordering

Two Candidate Approaches o Text Sequencing: An Addendum to “The Diachrony Debate: A Tutorial on Methods”

2018 ◽  
Vol 26 (2) ◽  
Author(s):  
Dean A. Forbes
Keyword(s):  
Computational Biology ◽  
Middle English ◽  
Diagnostic Tool ◽  
Reliable Method ◽  
Biblical Hebrew ◽  
Quantitative Comparison ◽  
Curve Analysis ◽  
Single Feature ◽  
S Curve ◽  
Temporal Ordering

In a recent essay published in this journal, I illustrated the limitations one may encounter when sequencing texts temporally using s-curve analysis. I also introduced seriation, a more reliable method for temporal ordering much used in both archaeology and computational biology. Lacking independently ordered Biblical Hebrew (BH) data to assess the potential power of seriation in the context of diachronic studies, I used classic Middle English data originally compiled by Ellegård. In this addendum, I reintroduce and extend s-curve analysis, applying it to one rather noisy feature of Middle English. My results support Holmstedt’s assertion that s-curve analysis can be a useful diagnostic tool in diachronic studies. Upon quantitative comparison, however, the five-feature seriation results derived in my former paper are found to be seven times more accurate than the single-feature s-curve results presented here. 

scholarly journals Event order generation using Reference Event based qualitative Temporal (REseT) relations in Time Event Ontology

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
V. Uma ◽  
G. Aghila
Keyword(s):  
Query Languages ◽  
Vital Role ◽  
Knowledge Representation And Reasoning ◽  
Interval Algebra ◽  
Event Ordering ◽  
Ontology Language ◽  
Reference Event ◽  
Event Order ◽  
Event Based ◽  
Temporal Ordering

AbstractOWL (Web Ontology Language) is the standard language for Semantic Web and is used in defining ontologies for Web. Temporal event data are ubiquitous in nature. Temporal data can be represented qualitatively using temporal relations in OWL, enabling temporal ordering of events which plays a vital role in task planners. The basic Allen’s temporal interval relations can be used to describe relations in OWL. Allen’s interval algebra is a well known formalism used to represent and reason the temporal knowledge. In this work, Allen’s interval algebra is extended by Reference Event based Temporal (REseT) relations to reduce the ambiguity in the before relation. The extended formalism is used in the representation of relations between time intervals and the viability of ordering of events in ontology is elucidated. This paper proposes a temporal knowledge representation and reasoning based event ordering system which helps in the temporal ordering of events. The advantage of this method is that it does not introduce any additional constructs in OWL and hence the existing reasoning tools and DL based query languages are capable of generating the linear order of events. The system is investigated experimentally using the COW (Correlates of War) dataset and has been evaluated using the Percent_ Similarity measure.

scholarly journals Slow Cortical Waves via Cyclicity

2021 ◽  
Author(s):  
Ivan Abraham ◽  
Bahar Shahsavarani ◽  
Ben Zimmerman ◽  
Fatima Husain ◽  
yuliy baryshnikov
Keyword(s):  
Time Series ◽  
Dynamic Structure ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Fine Grained ◽  
Human Connectome Project ◽  
Fmri Time Series ◽  
The Brain ◽  
Cortical Waves ◽  
Temporal Ordering

Fine-grained information about dynamic structure of cortical networks is crucial in unpacking brain function. Here,we introduced a novel analytical method to characterize the dynamic interaction between distant brain regions,based on cyclicity analysis, and applied it to data from the Human Connectome Project. Resting-state fMRI time series are aperiodic and, hence, lack a base frequency. Cyclicity analysis, which is time-reparametrization invariant, is effective in recovering dynamic temporal ordering of such time series along a circular trajectory without assuming any time scale. Our analysis detected the propagation of slow cortical waves across thebrain with consistent shifts in lead-lag relationships between specific brain regions. We also observed short bursts of strong temporal ordering that dominated overall lead-lag relationships between pairs of regions in the brain, which were modulated by tasks. Our results suggest the possible role played by slow waves of ordered information between brain regions that underlie emergent cognitive function.

Managing projects as a mode of temporal ordering. Performative organising of time and temporality in projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yannick Kalff
Keyword(s):  
Empirical Data ◽  
Temporal Structure ◽  
Project Managers ◽  
Temporal Perspective ◽  
Content Type ◽  
Temporal Structures ◽  
Research Gap ◽  
Temporal Flow ◽  
Conceptual Nature ◽  
Temporal Ordering

Purpose Project studies analyse either managing practices or the temporal nature of project management, which leaves open a research gap: the temporality of managing practice. The paper demonstrates that performativity theory with a temporal perspective helps us to understand how managing a project organises limited temporal resources by aligning activities, deadlines or milestones to reach a goal in a given time.Design/methodology/approach The article utilises empirical data and grounded theory methodology. Ten interviews with project managers from two companies support empirically guided theory building and conceptual reasoning.Findings The article extends John Law's “modes of ordering” to a project-specific mode of temporal ordering. This mode of temporal ordering describes the underlying rationale of project managers who assign, order and materialise time to generate the temporal structure of the project.Research limitations/implications The conceptual nature of the paper and its limited empirical data restrict the generalisation of the findings. The article's goal is to initiate further research and to offer a set of tools for such research.Originality/value The contribution links managing practice and temporality in a performativity approach. This link focusses the actual actions of the managers and contextualises them in the temporal flow of the project. Managing projects as a mode of temporal ordering describes how project managers enact temporal structures and how they themselves and their activities are temporally embedded.

scholarly journals Temporal ordering of omics and multiomic events inferred from time-series data

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Sandeep Kaur ◽  
Timothy J. Peters ◽  
Pengyi Yang ◽  
Laurence Don Wai Luu ◽  
Jenny Vuong ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Temporal Ordering
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