scholarly journals The Temporal dimension in the study of knowledge bases: Approaches to understanding knowledge creation and representation over time

Author(s):  
Melissa Adler ◽  
Joseph T. Tennis ◽  
Stas̆a Milojević ◽  
Seth van Hooland ◽  
Corinne Rogers ◽  
...  
Author(s):  
Eugénia C. Heldt

Time plays a central role in international organizations (IOs). Interactions among actors are embedded in a temporal dimension, and actors use formal and informal time rules, time discourses, and time pressure to obtain concessions from their counterparts. By the same token, legacies and innovations within and outside IOs can be examined as a dynamic process evolving over time. Against this background, this chapter has a twofold aim. First, it examines how actors use time in IOs with a particular focus on multilateral negotiations to justify their actions. Drawing on international relations studies and negotiation analysis, this piece explores six different dimensions of time in the multilateral system: time pressure, time discourse, time rules, time costs, time horizons, and time as a resource. Second, this chapter delineates the evolution of IOs over time with the focus on innovations that emerge to adapt their institutional system to new political and economic circumstances. This piece looks particularly at endogenous and exogenous changes in IOs, recurring to central concepts used by historical institutionalism, including path dependence, critical junctures, and sequencing. This allows us to map patterns of incremental change, such as displacement, conversion, drift, and layering.


Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3099
Author(s):  
V. Javier Traver ◽  
Judith Zorío ◽  
Luis A. Leiva

Temporal salience considers how visual attention varies over time. Although visual salience has been widely studied from a spatial perspective, its temporal dimension has been mostly ignored, despite arguably being of utmost importance to understand the temporal evolution of attention on dynamic contents. To address this gap, we proposed Glimpse, a novel measure to compute temporal salience based on the observer-spatio-temporal consistency of raw gaze data. The measure is conceptually simple, training free, and provides a semantically meaningful quantification of visual attention over time. As an extension, we explored scoring algorithms to estimate temporal salience from spatial salience maps predicted with existing computational models. However, these approaches generally fall short when compared with our proposed gaze-based measure. Glimpse could serve as the basis for several downstream tasks such as segmentation or summarization of videos. Glimpse’s software and data are publicly available.


1992 ◽  
Vol 49 (S1) ◽  
pp. 33-39 ◽  
Author(s):  
J. Roger Pitblado

Multivariate statistical procedures are used to establish empirical associations between acidity, visual lake water colour, dissolved organic carbon (DOC) concentrations, and Landsat-5 Thematic Mapper (TM) radiance data. Acidic lakes in an area northeast of Sudbury (Canada) are characterized by their clear, blue colours and very low DOC. With a subjective, three-class water colour grouping, 92% of the study lakes were correctly classified using TM data. Further, it is shown that DOC, the major component of water colour in this area, can be predicted within 1 mg/L of observed concentrations using TM data (multiple r = 0.93, P < 0.01). By deriving interrelationships between pH levels, water colour, and DOC, Landsat data provide a means to discriminate and map the acidic and nonacidic lakes of the study area. Examination of the reflectance characteristics of a single acidic lake (Bowland Lake) that has undergone neutralization suggests that Landsat data may be used to detect optical changes over time. However, the capability for monitoring the temporal dimension of lake acidification using satellite data has yet to be established.


Author(s):  
Kirsimarja Blomqvist

Technology partnerships are seen as a key element both in knowledge creation for technological development itself and in leveraging the value of technological knowledge (Bidault & Cummings, 1994; Teece, 1987; Ford, 1998). Complementary knowledge is generally regarded as a source for competitiveness (Doz & Hamel, 1998; Powell, 1998; Nahapiet & Ghoshal, 2000). Potentially, the focus on core competencies enables relatively stronger competitiveness (cumulative learning, focused use of critical resources) and ability to gain synergistic benefits and scale by leveraging different knowledge bases and networks (Miles, 2000; Blomqvist, 2002).


2019 ◽  
Vol 6 (9) ◽  
pp. 190826 ◽  
Author(s):  
Igor Khorozyan ◽  
Matthias Waltert

Human–predator conflicts are globally widespread, and effective interventions are essential to protect human assets from predator attacks. As effectiveness also has a temporal dimension, it is of importance to know how long interventions remain most effective and to determine time thresholds at which effectiveness begins to decrease. To address this, we conducted a systematic review of the temporal changes in the effectiveness of non-invasive interventions against terrestrial mammalian predators, defining a temporal trend line of effectiveness for each published case. We found only 26 cases from 14 publications, mainly referring to electric fences ( n = 7 cases) and deterrents ( n = 7 cases). We found electric fences and calving control to remain highly effective for the longest time, reducing damage by 100% for periods between three months and 3 years. The effectiveness of acoustical and light deterrents as well as guarding animals eroded quite fast after one to five months. Supplemental feeding was found to be counter-productive by increasing damage over time instead of reducing it. We stress that it is vital to make monitoring a routine requirement for all intervention applications and suggest to standardize periods of time over which monitoring can produce meaningful and affordable information.


Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 495
Author(s):  
HaeOk Choi ◽  
Chaolin Gu

Thus far, knowledge network research has been quantitative research, emphasizing that in limited industries, knowledge creation increasingly strengthens through geographical proximity or institutional connections. Although it has been suggested that knowledge networks should be researched using dynamic rather than static methods, the dynamic process of knowledge networks according to spatiotemporal changes has not been sufficiently researched. This paper uses the Chinese wine industry case to conduct related research. The results show that, first of all, wine-related knowledge creation activities were carried out in the big cities that formed the early market in the mid-2000s, and the geographical conditions in which the spatial scope was expanded were in the places that gradually developed over time. Second, although the spatial scope of knowledge creation activities is expanding with the active participation of private enterprise networks, private enterprises and the overall knowledge creation process are relatively isolated. Finally, in terms of the process of knowledge creation related to wine, in the development of regional linkages organizations relate to the knowledge providers who provide the required information, and have little to do with the geographically close knowledge providers.


2017 ◽  
Vol 51 (3) ◽  
pp. 235-258 ◽  
Author(s):  
Fabio Sartori ◽  
Riccardo Melen

Purpose A wearable expert system (WES) is an expert system designed and implemented to obtain input from and give outputs to wearable devices. Among its distinguishing features are the direct cooperation between domain experts and users, and the interaction with a knowledge maintenance system devoted to dynamically update the knowledge base taking care of the evolving scenario. The paper aims to discuss these issues. Design/methodology/approach The WES development method is based on the Knowledge Acquisition Framework based on Knowledge Artifact (KAFKA) framework. KAFKA employs multiple knowledge artifacts, each devoted to the acquisition and management of a specific kind of knowledge. The KAFKA framework is introduced from both the conceptual and computational points of view. An example is given which demonstrates the interaction, within this framework, of taxonomies, Bayesian networks and rule-based systems. An experimental assessment of the framework usability is also given. Findings The most interesting characteristic of WESs is their capability to evolve over time, due both to the measurement of new values for input variables and to the detection of new input events, that can be used to modify, extend and maintain knowledge bases and to represent domains characterized by variability over time. Originality/value WES is a new and challenging concept, dealing with the possibility for a user to develop his/her own decision support systems and update them according to new events when they arise from the environment. The system fully supports domain experts and users with no particular skills in knowledge engineering methodologies, to create, maintain and exploit their expert systems, everywhere and when necessary.


2003 ◽  
Vol 24 (3) ◽  
pp. 5-7 ◽  
Author(s):  
Patrick Marren

Discusses the economy and knowledge management via a knowledge bases and looks at where this knowledge base is today. States knowledge is a human being’s rightful certainty of what is actually the case, but does not help directly with knowledge on the job. Uses an example of a knowledge creation of a substitute, robot‐like creature called a “Golem” with cautionary, tragic results, to show what could happen in business organizations.


10.28945/3697 ◽  
2017 ◽  
Author(s):  
Samie Li Shang Ly ◽  
Raafat G Saade

Aim/Purpose: The purpose of this study is to shed light on how students learn within an environment tailored to knowledge creation. Background: We build on Nonaka, Toyama, and Konno’s three key elements: SECI model, Ba, Leadership as well as current knowledge management researchers critiques and improvements. Methodology: Based on an introductory marketing course, we used an in-house web based learning tool (peer-to peer) to capture score performances and perception surveys. The analysis was conducted through an exploratory factor analysis (EFA). Contribution: This study shed light on current knowledge management critiques by providing measures at the micro-level and community level. Findings: Perceptions of adaptability and usefulness change positively over time, while students’ repeated practice prepares them for different styles of questions as their performances increases over time. Recommendations for Practitioners: Organizations can understand how employees create knowledge through exchange of ideas, feedback, and common goals. Supervisor can understand their employees better and employees can gain a sense of control on their work. Recommendation for Researchers: The ability to capture information over time on the human and community level within a system allows further research to shed light on different variables of knowledge creation in the field. Impact on Society : An appreciation of the mechanism of knowledge creation can encourage organization to become more innovative and focus on people rather than material. Future Research: Measures such as the engagement level, the personality level, and compatibility level within a community to create knowledge are to be explored.


2018 ◽  
Vol 61 (12) ◽  
pp. 3075-3094 ◽  
Author(s):  
Daan J. van de Velde ◽  
Johan H. M. Frijns ◽  
Mieke Beers ◽  
Vincent J. van Heuven ◽  
Claartje C. Levelt ◽  
...  

PurposeRelative to normally hearing (NH) peers, the speech of children with cochlear implants (CIs) has been found to have deviations such as a high fundamental frequency, elevated jitter and shimmer, and inadequate intonation. However, two important dimensions of prosody (temporal and spectral) have not been systematically investigated. Given that, in general, the resolution in CI hearing is best for the temporal dimension and worst for the spectral dimension, we expected this hierarchy to be reflected in the amount of CI speech's deviation from NH speech. Deviations, however, were expected to diminish with increasing device experience.MethodOf 9 Dutch early- and late-implanted (division at 2 years of age) children and 12 hearing age-matched NH controls, spontaneous speech was recorded at 18, 24, and 30 months after implantation (CI) or birth (NH). Six spectral and temporal outcome measures were compared between groups, sessions, and genders.ResultsOn most measures, interactions of Group and/or Gender with Session were significant. For CI recipients as compared with controls, performance on temporal measures was not in general more deviant than spectral measures, although differences were found for individual measures. The late-implanted group had a tendency to be closer to the NH group than the early-implanted group. Groups converged over time.ConclusionsResults did not support the phonetic dimension hierarchy hypothesis, suggesting that the appropriateness of the production of basic prosodic measures does not depend on auditory resolution. Rather, it seems to depend on the amount of control necessary for speech production.


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