Ontology-Based Human-Computer Cloud for Decision Support

2018 ◽  
Vol 9 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Alexander Smirnov ◽  
Andrew Ponomarev ◽  
Nikolay Shilov ◽  
Alexey Kashevnik ◽  
Nikolay Teslya
Keyword(s):  
Information Processing ◽  
Decision Support ◽  
Service Composition ◽  
Support Services ◽  
Ad Hoc ◽  
The Novel ◽  
Cloud Environment ◽  
Tourist Destination ◽  
Automatic Service Composition ◽  
Layer Cloud

A variety of information processing and decision support tasks (especially in the context of smart city or smart tourist destination) rely both on the automated and human-based procedures. The article proposes a multi-layer cloud environment that, first, unifies various kinds of resources used by these information processing and decision-support scenarios (hardware, software, and human), and second, implements an ontology-based automatic service composition procedures that can be used to build ad hoc decision-support services for problems unknown in advance. The service composition is based on uniform description of all parts of the environment with a help of ontologies. The article describes the architecture and models of the novel human-computer cloud environment. It also describes several scenarios of decision support in tourism leveraging the proposed human-computer cloud concept.

Ontology-Based Human-Computer Cloud for Decision Support

2021 ◽  
pp. 410-430
Author(s):  
Alexander Smirnov ◽  
Andrew Ponomarev ◽  
Nikolay Shilov ◽  
Alexey Kashevnik ◽  
Nikolay Teslya
Keyword(s):  
Information Processing ◽  
Decision Support ◽  
Service Composition ◽  
Support Services ◽  
Smart City ◽  
Ad Hoc ◽  
The Novel ◽  
Cloud Environment ◽  
Automatic Service Composition ◽  
Layer Cloud

A variety of information processing and decision support tasks (especially in the context of smart city or smart tourist destination) rely both on the automated and human-based procedures. The article proposes a multi-layer cloud environment that, first, unifies various kinds of resources used by these information processing and decision-support scenarios (hardware, software, and human), and second, implements an ontology-based automatic service composition procedures that can be used to build ad hoc decision-support services for problems unknown in advance. The service composition is based on uniform description of all parts of the environment with a help of ontologies. The article describes the architecture and models of the novel human-computer cloud environment. It also describes several scenarios of decision support in tourism leveraging the proposed human-computer cloud concept.

Human-Computer Cloud and Its Applications in E-Tourism

2021 ◽  
pp. 1143-1176
Author(s):  
Andrew Ponomarev ◽  
Nikolay Shilov
Keyword(s):  
Information Processing ◽  
Decision Support ◽  
Resource Management ◽  
Ad Hoc ◽  
Dynamic Environments ◽  
Resource Provisioning ◽  
Cloud Environment ◽  
On Demand ◽  
Building Information ◽  
Developing Area

The chapter addresses two problems that typically arise during the creation of decision support systems that include humans in the information processing workflow, namely, resource management and complexity of decision support in dynamic environments, where it is impossible (or impractical) to implement all possible information processing workflows that can be useful for a decision-maker. The chapter proposes the concept of human-computer cloud, providing typical cloud features (elasticity, on demand resource provisioning) to the applications that require human input (so-called human-based applications) and, on top of resource management functionality, a facility for building information processing workflows for ad hoc tasks in an automated way. The chapter discusses main concepts lying behind the proposed cloud environment, as well as its architecture and some implementation details. It is also shown how the proposed human-computer cloud environment solves information and decision support demands in the dynamic and actively developing area of e-tourism.

Human-Computer Cloud and Its Applications in E-Tourism

2020 ◽  
pp. 202-235
Author(s):  
Andrew Ponomarev ◽  
Nikolay Shilov
Keyword(s):  
Information Processing ◽  
Decision Support ◽  
Resource Management ◽  
Ad Hoc ◽  
Dynamic Environments ◽  
Resource Provisioning ◽  
Cloud Environment ◽  
On Demand ◽  
Building Information ◽  
Developing Area

The chapter addresses two problems that typically arise during the creation of decision support systems that include humans in the information processing workflow, namely, resource management and complexity of decision support in dynamic environments, where it is impossible (or impractical) to implement all possible information processing workflows that can be useful for a decision-maker. The chapter proposes the concept of human-computer cloud, providing typical cloud features (elasticity, on demand resource provisioning) to the applications that require human input (so-called human-based applications) and, on top of resource management functionality, a facility for building information processing workflows for ad hoc tasks in an automated way. The chapter discusses main concepts lying behind the proposed cloud environment, as well as its architecture and some implementation details. It is also shown how the proposed human-computer cloud environment solves information and decision support demands in the dynamic and actively developing area of e-tourism.

Gothic and Anti-Gothic, 1797–1820

2018 ◽  
Author(s):  
Robert Miles
Keyword(s):  
Ad Hoc ◽  
The Novel ◽  
Gothic Novel

This chapter discusses the Gothic from 1797 to 1820. The Gothic reached its apogee in the late 1790s, when it secured a third share of the novel market, after which it withered. From 1797 onward, the Gothic seems inseparable from an anti-Gothic shadow that materialized in myriad forms, from ad hoc animadversions found in the reviews mocking the genre's formulaic character, to full-blown parodies. While the quantity of novels advertising themselves as products of the ‘terror-system’ declined during the first two decades of the century, the Gothic migrated downmarket, sustaining itself, post-1820, by embedding itself in other ‘genres’. Putting aside the tale, which the Gothic dominated, one quickly perceives that the Gothic is a variety of the novel—one of its subgenres best labelled ‘romance’. Moreover, one can best and most accurately represent the Gothic novel during the period as the proliferation of several schools, above all, of Radcliffe, Godwin, Lewis, and Schiller.

A framework for prospectively defining progression rules for internal pilot studies monitoring recruitment

2017 ◽  
Vol 27 (12) ◽  
pp. 3612-3627 ◽  
Author(s):  
Lisa V Hampson ◽  
Paula R Williamson ◽  
Martin J Wilby ◽  
Thomas Jaki
Keyword(s):  
Ad Hoc ◽  
Final Analysis ◽  
Recruitment Rate ◽  
Recruitment Strategies ◽  
The Novel ◽  
Publicly Funded ◽  
Pilot Studies ◽  
Internal Pilot ◽  
Target Sample Size ◽  
Challenging Situation

Just over half of publicly funded trials recruit their target sample size within the planned study duration. When recruitment targets are missed, the funder of a trial is faced with the decision of either committing further resources to the study or risk that a worthwhile treatment effect may be missed by an underpowered final analysis. To avoid this challenging situation, when there is insufficient prior evidence to support predicted recruitment rates, funders now require feasibility assessments to be performed in the early stages of trials. Progression criteria are usually specified and agreed with the funder ahead of time. To date, however, the progression rules used are typically ad hoc. In addition, rules routinely permit adaptations to recruitment strategies but do not stipulate criteria for evaluating their effectiveness. In this paper, we develop a framework for planning and designing internal pilot studies which permit a trial to be stopped early if recruitment is disappointing or to continue to full recruitment if enrolment during the feasibility phase is adequate. This framework enables a progression rule to be pre-specified and agreed upon prior to starting a trial. The novel two-stage designs stipulate that if neither of these situations arises, adaptations to recruitment should be made and subsequently evaluated to establish whether they have been successful. We derive optimal progression rules for internal pilot studies which minimise the expected trial overrun and maintain a high probability of completing the study when the recruitment rate is adequate. The advantages of this procedure are illustrated using a real trial example.

An agent-based approach towards automatic service composition in ambient intelligence

2008 ◽  
Vol 29 (3-4) ◽  
pp. 265-276 ◽  
Author(s):  
Maria J. Santofimia ◽  
Francisco Moya ◽  
Felix J. Villanueva ◽  
David Villa ◽  
Juan C. Lopez
Keyword(s):  
Service Composition ◽  
Ambient Intelligence ◽  
Agent Based ◽  
Automatic Service Composition

scholarly journals Minimum disruption service composition and recovery in mobile ad hoc networks

2009 ◽  
Vol 53 (10) ◽  
pp. 1649-1665 ◽  
Author(s):  
Shanshan Jiang ◽  
Yuan Xue ◽  
Douglas C. Schmidt
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Service Composition ◽  
Ad Hoc ◽  
Mobile Ad Hoc ◽  
Hoc Networks

scholarly journals Wildfire detection notifications for impact-based decision support services in Oklahoma using geostationary super rapid scan satellite imagery

2016 ◽  
Vol 04 (14) ◽  
pp. 182-191 ◽  
Author(s):  
Todd Lindley ◽  
Aaron Anderson ◽  
Vivek Mahale ◽  
Thomas Curl ◽  
William Line ◽  
...  
Keyword(s):  
Decision Support ◽  
Satellite Imagery ◽  
Support Services ◽  
Rapid Scan
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