Challenges Over Two Semantic Repositories - OWLIM and AllegroGraph

Author(s):  
Paria Tajabor ◽  
Tara Raafat

<p>The purpose of this research study is exploring two kind of semantic repositories with regards to various factors to find the best approaches that an artificial manager can use to produce ontology in a system based on their interaction, association and research. To this end, as the best way to evaluate each system and comparing with others is analysis, several benchmarking over these two repositories were examined. These two semantic repositories: OWLIM and AllegroGraph will be the main core of this study.  The general objective of this study is to be able to create an efficient and cost-effective manner reports which is required to support decision making in any large enterprise.</p>

2021 ◽  
Vol 13 (5) ◽  
pp. 2703
Author(s):  
Rodrigo A. Estévez ◽  
Stefan Gelcich

The United Nations calls on the international community to implement an ecosystem approach to fisheries (EAF) that considers the complex interrelationships between fisheries and marine and coastal ecosystems, including social and economic dimensions. However, countries experience significant national challenges for the application of the EAF. In this article, we used public officials’ knowledge to understand advances, gaps, and priorities for the implementation of the EAF in Chile. For this, we relied on the valuable information held by fisheries managers and government officials to support decision-making. In Chile, the EAF was established as a mandatory requirement for fisheries management in 2013. Key positive aspects include the promotion of fishers’ participation in inter-sectorial Management Committees to administrate fisheries and the regulation of bycatch and trawling on seamounts. Likewise, Scientific Committees formal roles in management allow the participation of scientists by setting catch limits for each fishery. However, important gaps were also identified. Officials highlighted serious difficulties to integrate social dimensions in fisheries management, and low effective coordination among the institutions to implement the EAF. We concluded that establishing clear protocols to systematize and generate formal instances to build upon government officials’ knowledge seems a clear and cost effective way to advance in the effective implementation of the EAF.


2016 ◽  
Vol 25 (sup1) ◽  
pp. 558-565 ◽  
Author(s):  
Nora McCarthy ◽  
Karen Neville ◽  
Andrew Pope ◽  
Anthony Gallagher ◽  
Alexander Nussbaumer ◽  
...  

2017 ◽  
Vol 11 (3) ◽  
pp. 419-455 ◽  
Author(s):  
Vivek Soni ◽  
Prasanta Kumar Dey ◽  
Rashmi Anand ◽  
Charru Malhotra ◽  
Devinder Kumar Banwet

Purpose The purpose of this research paper is to assess e-governance efficacy in various sectors of India. The paper develops on Grey System Theory (GST) methodology and enlightens grey portions of e-governance in select sectors. Research study identifies few grey criteria which affect implementation of information and communication technology (ICT) applications to support sustainable e-governance. Such criteria are related to information security breaches, information technology (IT) policy implementation, investments and strategic advantages for the various sector developments. Design/methodology/approach Considering “information” as a sensitive element to security for administration and part of dark portion to Indian economy, GST-based COmplex PRroportional ASsessment (COPRAS-G) method is adopted to assess the e-governance efficacy. The method provides flexible multicriteria decision-making (MCDM) approach to assess e-governance in prioritizing the sector alternatives of future strategic development. Priority order of select sectors is estimated, and COPRAS-G method is used in the research study to support decision-making on e-governance. Study compares ten major gross domestic product-dependent sectors based on few grey criteria. These criteria are chosen based on authors’ perspective on this study and feedback received from government officials of district levels under the Digital India-training programme. To address the subjectivity that lies in e-governance grey areas of sector, criteria are also weighted using fuzzy scale. Later methodology-based results are presented to draw a strategic road map for strategic development of the country. Findings On applying COPRAS-G method to predict pessimistic, optimistic and realistic scenarios of e-governance implementation across the ten sectors, high priory order in realistic scenario of results shows that implementation of ICT applications for e-governance should be in the sectors such as environment, climate change and in the railways. Industrial sector is also ranked as the preferred one over the other sectors on the basis of e-governance efficacy assessment. Research limitations/implications Here COPRAS-G method is used as MCDM techniques. However, few other MCDM techniques such as GRA, DRSA, VIKOR, SMAA, SWARA and SAW can be also explored to outrank various Indian sectors to deal with subjectivity in decision-making. Practical implications Implementation of ICT applications to support e-governance varies from sector to sector. ICT-based governance involves high degree of complexity in driving the operations for development of respective sectors. Therefore, government and policymakers need more flexibility to overcome present barriers of sector development. Such research can support decision-making where GST-based COPRAS-G method is able to capture and address the breaches of information security. Moreover, management concern for sector development has been presented on the basis of pessimistic, optimistic and realistic scenarios more precisely. Social implications The results can provide guidance to the academicians, policymakers and public sectors highlighting various possible measures to handle the security breaches in multi-facet intention of sustainable development. The outcomes from MCDM framework can also help in drawing a rough trajectory of strategy, i.e. development of ICTs applications and e-governance process. Originality/value This paper can supplement and act as the support for decision-making in conflicting situations on different flexible scenarios. Moreover, such work can synergize conflicting ideas of decision makers, academics and various other stakeholders of the Indian IT sector.


2021 ◽  
Author(s):  
Xiang Qian Gao

Current spatial decision support systems (SDSS) in manufacturing environments, which are mostly CAD-based, have many drawbacks and thus may make less effective and efficient spatial decisions. GIS-based SDSS can overcome those drawbacks and support decision-making in a much effective manner. Unfortunately, there is little research on GIS-based SDSS in a manufacturing environment. This thesis study focuses on a systematic approach to the development of GIS-based SDSS in a manufacturing environment. By using Trane China as an example, the prototype of Trane China SDSS (TCSDSS) is developed by adopting the unified software development process. The TCSDSS prototype contains eight object modules, which incorporate ArcGIS embedded models, ArcGIS feature data, and MS Access attribute data, to support decision-making in Trane China. The benefits from the use of the TCSDSS prototype that have been found include its spatial analysis, network analysis, and 3D analysis functions besides the improvement on communication and efficiency. It is also found that the newly developed GIS software packages such as ArcGIS 8.3, with the enhanced drawing functions, can provide enough adequate precision level required by facility layout.


2018 ◽  
Vol 170 ◽  
pp. 04021 ◽  
Author(s):  
Victor Bazhenov ◽  
Andrei Ustiuzhanin

Management and Economics in construction is submitted by this article as a settlement tool for construction justification of blower stations. These buildings with powerful units are under financial provision of communal wastewater utilities. Economic management implemented by usage of LCC analyses, which supposed to support decision making process. LCC analyses refer to its application with and without consideration of discount rates (DR, DR-out, DR-with). Also investigated variants of blower types: multistage without control (v1), multistage with VFD control (v2), single stage dual vane control (v3). The result of LCC analysis (DR-out) shows, that last variant 3 is most cost-effective for investments with economy of: 26,9% to (v1) and 21,7% to (v2) under the identical duty conditions. Consideration of discount rates (DR-with) resulted the same as: 21,5% to (v1) and 19,7% to (v2). The power consumption plays a significant role in LCC estimation. The result of LCC analysis (DR-out) shows the proportion “energy/LCC”: 94,9% (v1); 87,1% (v2); 84,5% (v3). Consideration of discount rates (DR-with) resulted the same as: 92,5% (v1); 81,1% (v2); 76,6% (v3). The reached power saving for all control methods of blower regulation are inside range 14,3–34,9%.


2021 ◽  
Author(s):  
Prashant Katiyar ◽  
Shailendra Kumar Srivast ◽  
Deepshikha Kushwaha

Abstract Recently, a continuous rising awareness among human community to an environmental issue had changed the frame of current scenario and shifted a whole attention of research community towards the sustainable energy options & selecting the greener-solvents technology like Ionic-Liquids (ILs). An ionic-liquid technology known to augment the biorefineries pre-processing step mainly targeted to dissolute the complex and rigid structure of lignocellulosic biomass and promote to produce an economically valuable biofuels. 1-Butyl-3methylimidazolium acetate [BMIM][COO−] and 1-Butyl-3-methylimidazolium chloride [BMIM][Cl−] (ILs) were extensively studied in a current research study. Studied Ionic-liquids have a great capacity to fractionate the plant cellular components by employing the process of delignification, as it can be depicted through an evaluation of degree of cellulose-crystallinity index. Current study exploits an aqueous-ionic-liquid technology, where a combined reaction mixture of deionized-water, ionic-liquids (ILs) and biomass load-size were used in (1:10:1) ratio under vacuum. An observed result of the study determined the Total reducing sugar (TRS) content and residual lignin yield after employing the ILs pretreatment. It estimate yield of Total reducing sugar (46.6%) and residual lignin (36.25498%) in S-12 shell biomass pretreated with [BMIM][COO−] at 120°C for 2.5h under vacuum. Although, Taguchi approach significantly notified the affect of process parameters during the ILs pretreatment processing. In this context, water-content (wt%) had found the most dominant physical factor instead of, temperature and time-duration. This research study also finds the S-12[BMIM][COO−], an effective biomass candidate compared to other studied biomasses to achieve the high biofuel yield in a cost-effective manner.


2019 ◽  
Vol 64 (3) ◽  
pp. 86-90
Author(s):  
NA Bradley ◽  
ED Kennedy ◽  
M Asif

Background Increased availability of routine investigations results in significant over-investigation, burdening patients with unnecessary tests as well as increasing cost. We aimed to identify the extent of monitoring of liver function tests in lung resections, and to ascertain whether any impact on clinical decision-making occurred. Methods Cases were identified using theatre records coded as “lobectomy/bilobectomy” in the three-month period 20 June 2017 to 20 September 2017. Electronic records were used to collect patient data. Results A total of 91 cases were included; 77 (85%) patients had 1 set of pre-operative LFTs, 12 (13%) patients had 2 sets, and 2 (2%) patients had 0 sets; 69 (76%) had normal LFTs pre-operatively; 298 sets of LFTs were measured post-operatively, with a median of 3 sets per patient; 61 (67%) patients had either normal or static LFTs post-operatively, 13 (14%) had isolated rise in GGT, 16 (17%) had derangement of ALT and AST, and 1 patient (1%) had deranged ALP. Altered clinical decision-making due to LFTs derangement was recorded in two cases (2%). Conclusion Clinicians have an obligation to justify expense, and practise in a cost-effective manner. Our data suggest that the routine perioperative monitoring of LFTs in thoracic surgery does not give any clear benefit to patient care.


2013 ◽  
Vol 423-426 ◽  
pp. 2196-2201 ◽  
Author(s):  
Zeng Zhong Wang ◽  
Bin Shi

Accelerated Bridge Construction (ABC) is recognized as an important method to design and rehabilitate highway bridge structures. ABC is bridge construction that uses innovative planning, design, materials, and construction methods in a safe and cost-effective manner to reduce the onsite construction time that occurs when building new bridges or replacing and rehabilitating existing bridges. ABC uses both new technology and innovative project management techniques to reduce the impact of bridge construction projects on the public and to reduce bridge construction costs. In the early stages of a construction project, engineers need to assess whether elements of ABC are achievable and effective for a specific bridge location. Use of decision-making tools in early stages of planning is advocated as a mechanism for helping decision maker assess alternatives with more confidence and for preventing investment in alternatives that are more costly. In this study, a set of decision making tools, based on the Bridge Construction Index (BCI) were developed. This tool is prepared for transportation specialists and decision-makers to determine if ABC techniques are more effective than traditional construction for a given bridge replacement or rehabilitation project.


Author(s):  
Tithi Choudhary ◽  
Muskan Shaikh ◽  
Shreya Khedekar ◽  
Richa Sirwani ◽  
Meenakshi A. Thalor

Any calamities or emergency situations have created drastic and everlasting impacts on mankind since history. Such situations need to be managed in an efficient and effective manner. There are countries of the world where the use of evolving technology is not a part of the management system. In this paper using a combination of technologies and tools we will provide a better alternative solution to the intuitive decisions thus making systems more reliable. Data Mining, Data Analytics, Data Visualization and Decision making have key applications demonstrated in this paper. Upon the choice of User Selections, this system will look into the number of deaths and recoveries that have occurred everyday from the start of spread of the COVID-19. Based on this information, the goal will be to analyze and formulate a death and recovery analysis, which will in turn help us in understanding the effect of corona virus on different work sectors, which in our case will be the Business sector of the country. The system will also focus on forecasting the GDP based on the past datasets of the country. Different visualization methods will be shown according to the Automated Machine learning system that will generate statistical depiction from the inflow of dynamic data. These info graphic visuals will provide a better understanding to the user as to how the situation will affect her own sector/domain as well as current stance of the GDP and enhance the overall User Experience (UX) of the user.


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