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On Because and Why: Reasoning with Natural Language 因为和为什么:用自然语言推理
Pub Date : 2018-07-01 DOI: 10.4018/IJCSSA.2018070101
M. Wheatman
Because, as an act of verbal reasoning, is described in terms of its transitivity, composite assertions and reasoning. The latter includes induction through X because Y and the deduction subsequently afforded by why X. Once the component assertions X and Y are disavowed, it illustrates the third level of Peircean reasoning, abduction. The language engine, Enguage, is introduced and positioned as a novel approach to language processing. Three utterance repertoires of the Enguage test suite, which support because and why, are described. These are then applied using Enguage, and the resultant output is presented. A user can thus demonstrate reasoning interactively, via text-to-speech software, with a machine that can be said to understand why.
因为,作为一种言语推理行为,是根据其及物性、复合断言和推理来描述的。后者包括通过X因为Y的归纳,以及随后由为什么X提供的演绎。一旦否定了组成断言X和Y,它说明了培尔海推理的第三个层次,溯因。介绍了语言引擎language,并将其定位为语言处理的一种新方法。描述了语言测试套件中支持“因为”和“为什么”的三个话语库。然后使用语言应用这些方法,并给出结果输出。因此,用户可以通过文本到语音的软件,与一台可以说理解原因的机器互动地演示推理。
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引用次数: 2
Embedded System Verification Using Formal Model an Approach Based on the Combined Use of UML and Maude Language 基于形式化模型的嵌入式系统验证——一种UML与Maude语言结合使用的方法
Pub Date : 2018-07-01 DOI: 10.4018/IJCSSA.2018070103
Amel Meliouh, A. Chaoui
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引用次数: 1
Using Business Ontology to Integrate Business Architecture and Business Process Management for Healthcare Modeling 使用业务本体集成用于医疗保健建模的业务体系结构和业务流程管理
Pub Date : 2018-07-01 DOI: 10.4018/IJCSSA.2018070102
B. Urquhart, W. Haque
Patient safety and quality of health care services continue to be an issue within healthcare organizations. Quality improvement of healthcare processes at a systems level requires a shared language so the system is well understood across and between business areas. Business ontology provides the ability to create a shared language which can be used to integrate business process management (BPM) and business architecture (BA) concepts to identify, prioritize, and plan system wide improvement. The effective application of this comprehensive management approach has been demonstrated using medication management services within a publicly funded Canadian healthcare organization. This article illustrates how the foundational ontology developed by the Global University Alliance and the related Business Process Management Ontology (BPMO) can be used to facilitate the integration of BA and BPM concepts to improve quality of medication management. The development of business artefacts resulted in a prioritized list of improvement initiatives and an action plan to implement and monitor the initiatives. The integration of BPM and BA using an ontology in a healthcare setting yields improved services at the systems level.
患者安全和医疗保健服务质量仍然是医疗保健组织内部的一个问题。系统级医疗保健流程的质量改进需要一种共享语言,以便在各个业务领域之间很好地理解系统。业务本体提供了创建共享语言的能力,该语言可用于集成业务流程管理(BPM)和业务体系结构(BA)概念,以识别、确定优先级并计划系统范围的改进。这种综合管理方法的有效应用已经在加拿大一家公共资助的医疗保健组织内通过药物管理服务得到了证明。本文阐述了如何使用Global University Alliance开发的基础本体和相关的业务流程管理本体(Business Process Management ontology, BPMO)促进BA和BPM概念的集成,从而提高药物管理的质量。业务工件的开发产生了改进计划的优先级列表,以及实现和监视这些计划的行动计划。在医疗保健设置中使用本体集成BPM和BA可以在系统级别上改进服务。
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引用次数: 2
Specifying Constraints for Detecting Inconsistencies in A Conceptual Graph Knowledge Base 在概念图知识库中指定检测不一致性的约束
Pub Date : 2017-07-01 DOI: 10.4018/IJCSSA.2017070103
Caralee Kassos, H. Delugach
This paper proposes a strategy for representing constraints in a conceptual graph knowledgebase.Wedescribeasetoftechniquesforusingtheseconstraintstodetect inconsistenciesinaknowledgebasebyfindingsetsofnodesthatareinconsistentwith theseconstraints.Thedetectionmethodisdesignedtobeefficient.Analgorithmwas developedandanalyzedanditscomputationalcomplexitywasfoundtobepolynomial withrespecttoknowledgebasesizeandnumberofchildnodesforeachconstraintnode. KeywoRDS Conceptual Graph, Graph Constraints, Inconsistency Detection, Knowledge Base
这篇论文提出了一种用概念图表示约束的策略knowledgebase。Wedescribeasetoftechniquesforusingtheseconstraintstodetect inconsistenciesinaknowledgebasebyfindingsetsofnodesthatareinconsistentwith theseconstraints.Thedetectionmethodisdesignedtobeefficient。Analgorithmwas developedandanalyzedanditscomputationalcomplexitywasfoundtobepolynomial withrespecttoknowledgebasesizeandnumberofchildnodesforeachconstraintnode。关键词概念图,图约束,不一致检测,知识库
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引用次数: 1
Case Studies in Applying Data Mining for Churn Analysis 应用数据挖掘进行客户流失分析的案例研究
Pub Date : 2017-07-01 DOI: 10.4018/IJCSSA.2017070102
S. Lomax, S. Vadera
The advent of price and product comparison sites now makes it even more important to retain customers and identify those that might be at risk of leaving. The use of data mining methods has been widely advocated for predicting customer churn. This paper presents two case studies that utilize decision tree learning methods to develop models for predicting churn for a software company. The first case study aims to predict churn for organizations which currently have an ongoing project, to determine if organizations are likely to continue with other projects. While the second case study presents a more traditional example, where the aim is to predict organizations likely to cease being a subscriber to a service. The case studies include presentation of the accuracy of the models using a standard methodology as well as comparing the results with what happened in practice. Both case studies show the significant savings that can be made, plus potential increase in revenue by using decision tree learning for churn analysis.
价格和产品比较网站的出现使得留住客户和识别那些可能有离开风险的客户变得更加重要。使用数据挖掘方法已经被广泛提倡用于预测客户流失。本文提出了两个案例研究,利用决策树学习方法来开发预测软件公司流失的模型。第一个案例研究旨在预测当前正在进行项目的组织的流失,以确定组织是否有可能继续进行其他项目。而第二个案例研究提供了一个更传统的例子,其目的是预测组织可能不再是服务的订阅者。案例研究包括使用标准方法展示模型的准确性,以及将结果与实际发生的情况进行比较。这两个案例研究都表明,通过使用决策树学习进行流失分析,可以节省大量资金,并增加潜在的收入。
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引用次数: 3
Conceptual Graphs Based Approach for Subjective Answers Evaluation 基于概念图的主观答案评价方法
Pub Date : 2017-07-01 DOI: 10.4018/IJCSSA.2017070101
Goonjan Jain, D. K. Lobiyal
Automated evaluation systems for objective type tests already exist. However, it is challenging to make an automated evaluation system for subjective type tests. Therefore, focus of this paper is on evaluation of simple text based subjective answers using Natural Language Processing techniques. A student's answer is evaluated by comparing it with a model answer of the question. Model answers cannot exactly match with the students' answers due to variability in writing. Therefore, researchers create conceptual graphs for both student as well as model answer and compute similarity between these graphs using techniques of graph similarity measures. Based on the similarity, marks are assigned to an answer. Lastly, in this manuscript authors compare the results obtained by human graders and the proposed system using Pearson correlation coefficient. Also, comparison has been drawn between the results of proposed system with other existing evaluation systems. The experimental evaluation of the proposed system shows promising results.
客观类型测试的自动评估系统已经存在。然而,建立一个主观类型测试的自动化评估系统是一个挑战。因此,本文的重点是利用自然语言处理技术对基于简单文本的主观答案进行评价。学生的答案是通过与问题的标准答案进行比较来评估的。由于写作的变化,模板答案不能与学生的答案完全匹配。因此,研究人员为学生和模型答案创建概念图,并使用图相似度度量技术计算这些图之间的相似性。根据相似度,给答案打分。最后,在本文中,作者使用Pearson相关系数比较了人类评分者和所提出的系统获得的结果。此外,还将拟议系统的结果与其他现有评价系统进行了比较。实验结果表明,该系统具有良好的性能。
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引用次数: 1
Transforming Birmingham City with Smart Applications 用智能应用改变伯明翰城市
Pub Date : 2016-07-01 DOI: 10.4018/IJCSSA.2016070102
L. Hernandez-Munoz, Gerald Feldman, Vahid Javidroozi, A. King, Raj Mack
Since the amount of people living in cities is expected to increase to 70% by 2050, cities will face many social and urbanisation challenges, and they will need to operate with reduced budgets and limited number of staff. The productivity of computers offers means to address city challenges and do more with less. In this paper, two Smart City projects carried out in Birmingham UK are presented. Firstly, in the Innovation Engine project, conceptual graphs were used to translate innovation experts' ideas into the specification of an open innovation model that may address the needs of large organisations with the capabilities of SMEs and citizens. Secondly, we present results of the pilot evaluation of the Digital Log Book, a smart web portal that enables citizens to access a whole range of public and private services including social housing, universal job match and jobseeker's allowance benefits. We can conclude that smart applications can be very useful to produce better public services and to support cities in the co-creation of new tools that empower citizens and organisations.
由于预计到2050年城市人口将增加到70%,城市将面临许多社会和城市化挑战,他们将需要减少预算和有限的员工数量。计算机的生产力提供了解决城市挑战和事半功倍的手段。本文介绍了在英国伯明翰开展的两个智慧城市项目。首先,在创新引擎项目中,概念图被用于将创新专家的想法转化为开放式创新模型的规范,该模型可以解决具有中小企业和公民能力的大型组织的需求。其次,我们介绍了数字日志的试点评估结果,这是一个智能门户网站,使公民能够获得一系列公共和私营服务,包括社会住房、普遍就业匹配和求职者津贴福利。我们可以得出结论,智能应用程序在提供更好的公共服务和支持城市共同创造赋予公民和组织权力的新工具方面非常有用。
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引用次数: 4
A Novel Wireless Mobility Monitoring and Tracking System: Applications for Smart Traffic 一种新型无线移动监控与跟踪系统:在智能交通中的应用
Pub Date : 2016-07-01 DOI: 10.4018/IJCSSA.2016070104
A. Fernández-Ares, A. García, M. G. Arenas, P. García-Sánchez, G. Romero, Suhail M. Odeh, P. Castillo
This paper presents a mobility monitoring system, based on the detection of Bluetooth and WiFi signals emitted by personal portable devices. The work also describes its possibilities of tracking in two real scenarios, one inside the Spanish city of Granada, and another one in a highway between Granada and Malaga, both with several detection nodes. They have been deployed trying to solve one of the most difficult issues in the city, namely the automatic and accurate hourly monitoring of traffic, in order to synchronise the traffic lights, for instance. Moreover, their deployment in a highway might be very useful for other traffic issues, such as computing the average speed in a section of the road. Thus, this system could be used as a tool for smart city and smart traffic. In the experiments, the datasets gathered by the system nodes are analysed, yielding useful information for the automatic detection of rush hours, the identification of traffic flows and computing speed rates.
本文提出了一种基于个人移动设备发出的蓝牙和WiFi信号检测的移动监控系统。这项工作还描述了它在两个真实场景中的跟踪可能性,一个是在西班牙格拉纳达市,另一个是在格拉纳达和马拉加之间的高速公路上,两者都有几个检测节点。他们的部署是为了解决城市中最困难的问题之一,即自动准确的每小时交通监控,例如,为了同步交通灯。此外,在高速公路上部署它们可能对其他交通问题非常有用,例如计算路段的平均速度。因此,该系统可以作为智慧城市和智慧交通的工具。在实验中,分析了系统节点收集的数据集,为自动检测高峰时间、识别交通流量和计算速度提供了有用的信息。
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引用次数: 6
Providing an Attractive Environment for People to Engage in Health Activities: Serving with Landscape 为市民提供有吸引力的健康活动环境:以景观服务
Pub Date : 2016-07-01 DOI: 10.4018/IJCSSA.2016070103
Hung-Pin Hsu
Parks and green spaces have been allocated for city residents to offer them healthier natural environments. However, people living in cities may have less opportunity to engage with the natural environment since parks seem to be passive locations of activity. We investigated how to proactively enhance the attraction of green space to improve people's health. First, we surveyed how 683 city residents were engaged in physical activities. From them, 30 people were recruited for depth interviews. Results showed that the park environment and the health activities that feature 'inner-attraction' could enhance the frequency and persistence of the city residents to engage in healthy activities. We also evaluated the service experience and attraction of 40 users in a 3-month program in the Daan Forest Park of Taipei City in Taiwan. Using the culture probes method, we found that the experience cycle and the use of social media enhanced the park's inner and inter attraction, and that the role of the park was transformed from a passive green space provider to an active service operator.
公园和绿地被分配给城市居民,为他们提供更健康的自然环境。然而,生活在城市里的人可能很少有机会接触自然环境,因为公园似乎是被动的活动场所。我们研究了如何主动增强绿地的吸引力,以改善人们的健康。首先,我们调查了683名城市居民的体育锻炼情况。从中选出30人进行深度面试。结果表明,公园环境和具有“内吸引”特征的健康活动可以增强城市居民参与健康活动的频率和持久性。我们也评估了40位使用者在台湾台北市大安森林公园为期3个月的服务体验与吸引力。利用文化探针方法,我们发现体验周期和社交媒体的使用增强了公园的内在吸引力和相互吸引力,公园的角色从被动的绿地提供者转变为主动的服务运营商。
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引用次数: 0
A Semantic Meta-Modelling Approach for Smart Government: Service Discovery Based on Conceptual Structures 智能政府的语义元建模方法:基于概念结构的服务发现
Pub Date : 2016-07-01 DOI: 10.4018/IJCSSA.2016070105
Hind Lamharhar, I. Zaoui, A. Kabbaj, D. Chiadmi
The main objective of many e-government solutions is establishing smart government through developing user oriented, integrated and interoperable services. However, the heterogeneous and distributed nature of public administrations and the limit of traditional service discovery approaches does not enable achieving efficiently this objective. Rather achieving semantic interoperability through the development of shared e-government knowledge can be the key to smart government. As its main contribution, this paper presents a semantic modelling approach of data and public services, and a service discovery approach for building smart government applications. Our approach uses both semantic web services and conceptual structures technologies. Applying these technologies was shown to have an extremely high potential impact in smart government development. They enabled the improvement of the data and services description, of multiple resources, with additional semantic information, which allowed an automatic processing of information and services.
许多电子政务解决方案的主要目标是通过开发面向用户的、集成的和可互操作的服务来建立智能政务。然而,公共管理的异构和分布式特性以及传统服务发现方法的局限性,使这一目标无法有效实现。相反,通过开发共享的电子政务知识来实现语义互操作性可能是智能政务的关键。作为其主要贡献,本文提出了数据和公共服务的语义建模方法,以及用于构建智能政府应用程序的服务发现方法。我们的方法同时使用语义web服务和概念结构技术。应用这些技术对智能政府的发展具有极高的潜在影响。它们能够通过附加的语义信息改进多个资源的数据和服务描述,从而实现信息和服务的自动处理。
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引用次数: 1
期刊
Int. J. Concept. Struct. Smart Appl.
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