International Conference on Enterprise Information Systems最新文献_第10页

No More Hiding! WALDO: Easily Locating with a Wi-Fi Opportunistic Approach 别再躲了!WALDO:使用Wi-Fi机会主义方法轻松定位

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.5220/0007677505710578

B. Silva, J. C. D. Lima, Celio Trois, W. B. Pereira, C. C. Rocha

{"title":"No More Hiding! WALDO: Easily Locating with a Wi-Fi Opportunistic Approach","authors":"B. Silva, J. C. D. Lima, Celio Trois, W. B. Pereira, C. C. Rocha","doi":"10.5220/0007677505710578","DOIUrl":"https://doi.org/10.5220/0007677505710578","url":null,"abstract":"The popularization of mobile devices and increasing the number of sensors and embedded resources boosted a large amount of research in the area of context-aware. Among the most relevant contextual information is the location. In outdoor environments, the GPS technology is already widespread and used. However, the people tend to spend most of their time indoors, such as universities, hospitals, malls, and supermarkets, where the GPS location is compromised. Several approaches using mainly radio frequency technologies have been proposed to solve the problem of indoor location. So far, no widely accepted solution solves the problem of location indoors. In this way, this work to use an opportunistic approach, making use of the Wi-Fi infrastructure available in the environment, to provide the location of mobile stations. Based on this objective, the WALDO architecture was developed that unites the characteristics of different approaches of the works that have been produced in recent years, taking into account the techniques that present better results at each stage, in conjunction with a zone-based approach and ranking, on phase online of the fingerprint technique, which makes ignoring RSS readings that present noises.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134241242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Knowledge Graphs with Data Representatives 用数据代表增强知识图谱

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.5220/0007677400490060

André Pomp, Lucian Poth, Vadim Kraus, Tobias Meisen

{"title":"Enhancing Knowledge Graphs with Data Representatives","authors":"André Pomp, Lucian Poth, Vadim Kraus, Tobias Meisen","doi":"10.5220/0007677400490060","DOIUrl":"https://doi.org/10.5220/0007677400490060","url":null,"abstract":"Due to the digitalization of many processes in companies and the increasing networking of devices, there is an ever-increasing amount of data sources and corresponding data sets. To make these data sets accessible, searchable and understandable, recent approaches focus on the creation of semantic models by domain experts, which enable the annotation of the available data attributes with meaningful semantic concepts from knowledge graphs. For simplifying the annotation process, recommendation engines based on the data attribute labels can support this process. However, as soon as the labels are incomprehensible, cryptic or ambiguous, the domain expert will not receive any support. In this paper, we propose a semantic concept recommendation for data attributes based on the data values rather than on the label. Therefore, we extend knowledge graphs to learn different dedicated data representations by including data instances. Using different approaches, such as machine learning, rules or statistical methods, enables us to recommend semantic concepts based on the content of data points rather than on the labels. Our evaluation with public available data sets shows that the accuracy improves when using our flexible and dedicated classification approach. Further, we present shortcomings and extension points that we received from the analysis of our evaluation.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124879231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Impact of Business Rule Management on Enterprise Architecture 业务规则管理对企业架构的影响

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.5220/0007672105640571

Marlies van Steenbergen, K. Smit, M. Zoet

引用次数: 0

Secure Endpoint Device Agent Architecture 安全端点设备代理体系结构

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.5220/0007658705470554

K. Foltz, W. Simpson

引用次数: 1

Recommendation Framework for on-Demand Smart Product Customization 按需智能产品定制的推荐框架

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.5220/0007684401770187

Leila Esheiba, Amal Elgammal, M. El-Sharkawi

{"title":"Recommendation Framework for on-Demand Smart Product Customization","authors":"Leila Esheiba, Amal Elgammal, M. El-Sharkawi","doi":"10.5220/0007684401770187","DOIUrl":"https://doi.org/10.5220/0007684401770187","url":null,"abstract":"Product-service systems (PSSs) are being revolutionized into smart, connected products, which changes the industrial and technological landscape and unlocks unprecedented opportunities. The intelligence that smart, connected products embed paves the way for more sophisticated data gathering and analytics capabilities ushering in tandem a new era of smarter supply and production chains, smarter production processes, and even end-to-end connected manufacturing ecosystems. This vision imposes a new technology stack to support the vision of smart, connected products and services. In a previous work, we have introduced a novel customization PSS lifecycle methodology with underpinning technological solutions that enable collaborative on-demand PSS customization, which supports companies to evolve their product-service offerings by transforming them into smart, connected products. This is enabled by the lifecycle through formalized knowledge-intensive structures and associated IT tools that provide the basis for production actionable “intelligence” and a move toward more fact-based manufacturing decisions. This paper contributes by a recommendation framework that supports the different processes of the PSS lifecycle through analysing and identifying the recommendation capabilities needed to support and accelerate different lifecycle processes, while accommodating with different stakeholders’ perspectives. The paper analyses the challenges and opportunities of the identified recommendation capabilities, drawing a road-map for R&D in this direction.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131445399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

The Gold Tree: An Information System for Analyzing Academic Genealogy 金树:一个分析学术谱系的信息系统

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.5220/0007758401140120

Gabriel Madeira, E. N. Borges, Matheus Barañano, Prícilla Karen Nascimento, Giancarlo Lucca, Maria de Fatima Maia, H. Santos, G. Dimuro

引用次数: 4

Managing Discipline-Specific Metadata Within an Integrated Research Data Management System 在集成研究数据管理系统中管理学科特定元数据

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.5220/0007725002530260

Marius Politze, S. Bensberg, Matthias S. Müller

引用次数: 3

A Generic Architectural Framework for Machine Learning on Data Streams 数据流上机器学习的通用架构框架

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.1007/978-3-030-40783-4_6

Christoph Augenstein, Theo Zschörnig, N. Spangenberg, Robert Wehlitz, Bogdan Franczyk

引用次数: 0

Methods and System for Cloud Parallel Programming 云并行编程的方法和系统

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.5220/0007750506230629

V. Kasyanov, Elena V. Kasianova

引用次数: 9

Business Layer: An Enterprise Approach for Workflow Engine and Record Management Systems Integration 业务层:工作流引擎和记录管理系统集成的企业方法

International Conference on Enterprise Information Systems Pub Date : 2019-05-03 DOI: 10.1007/978-3-030-40783-4_8

J. Pires, André Vasconcelos, J. Borbinha

引用次数: 0