Pub Date : 2019-05-03DOI: 10.5220/0007744706080615
Joni O. Salminen, Soon-Gyo Jung, B. Jansen
The massive volume of online analytics data about customers has led to novel opportunities for user segmentation. However, getting real value from data remains challenging for many organizations. One of the recent innovations in online analytics is data-driven persona generation that can be used to create high-quality human representations from online analytics data. This manuscript (a) summarizes the potential of data-driven persona generation for online analytics, (b) characterizes nine open research questions for data-driven persona generation, and (c) outlines a research agenda for making persona analytics more useful for decision makers.
{"title":"The Future of Data-driven Personas: A Marriage of Online Analytics Numbers and Human Attributes","authors":"Joni O. Salminen, Soon-Gyo Jung, B. Jansen","doi":"10.5220/0007744706080615","DOIUrl":"https://doi.org/10.5220/0007744706080615","url":null,"abstract":"The massive volume of online analytics data about customers has led to novel opportunities for user segmentation. However, getting real value from data remains challenging for many organizations. One of the recent innovations in online analytics is data-driven persona generation that can be used to create high-quality human representations from online analytics data. This manuscript (a) summarizes the potential of data-driven persona generation for online analytics, (b) characterizes nine open research questions for data-driven persona generation, and (c) outlines a research agenda for making persona analytics more useful for decision makers.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"1 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":"131086112","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}
Pub Date : 2019-05-03DOI: 10.5220/0007677400490060
André Pomp, Lucian Poth, Vadim Kraus, Tobias Meisen
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.
{"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}
Pub Date : 2019-05-03DOI: 10.5220/0007750506230629
V. Kasyanov, Elena V. Kasianova
In this paper, a cloud parallel programming system CSSP being under development at the Institute of Informatics Systems is considered. The system is aimed to be an interactive visual environment of functional and parallel programming for supporting of computer science teaching and learning. The system will support the development, verification and debugging of architecture-independent parallel programs and their correct conversion into efficient code of parallel computing systems for its execution in clouds. In the paper, the CPPS system itself, its input functional language, and its internal graph presentation of the functional programs are described.
{"title":"Methods and System for Cloud Parallel Programming","authors":"V. Kasyanov, Elena V. Kasianova","doi":"10.5220/0007750506230629","DOIUrl":"https://doi.org/10.5220/0007750506230629","url":null,"abstract":"In this paper, a cloud parallel programming system CSSP being under development at the Institute of Informatics Systems is considered. The system is aimed to be an interactive visual environment of functional and parallel programming for supporting of computer science teaching and learning. The system will support the development, verification and debugging of architecture-independent parallel programs and their correct conversion into efficient code of parallel computing systems for its execution in clouds. In the paper, the CPPS system itself, its input functional language, and its internal graph presentation of the functional programs are described.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"13 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":"126678929","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}
Pub Date : 2019-05-03DOI: 10.5220/0007672105640571
Marlies van Steenbergen, K. Smit, M. Zoet
Business Rule Management (BRM) is a means to make decision-making within organizations explicit and manageable. BRM functions within the context of an Enterprise Architecture (EA). The aim of EA is to enable the organization to achieve its strategic goals. Ideally, BRM and EA should be well aligned. This paper explores through study of case study documentation the BRM design choices that relate to EA and hence might influence the organizations ability to achieve a digital business strategy. We translate this exploration into five propositions relating BRM design choices to EA characteristics.
{"title":"Impact of Business Rule Management on Enterprise Architecture","authors":"Marlies van Steenbergen, K. Smit, M. Zoet","doi":"10.5220/0007672105640571","DOIUrl":"https://doi.org/10.5220/0007672105640571","url":null,"abstract":"Business Rule Management (BRM) is a means to make decision-making within organizations explicit and manageable. BRM functions within the context of an Enterprise Architecture (EA). The aim of EA is to enable the organization to achieve its strategic goals. Ideally, BRM and EA should be well aligned. This paper explores through study of case study documentation the BRM design choices that relate to EA and hence might influence the organizations ability to achieve a digital business strategy. We translate this exploration into five propositions relating BRM design choices to EA characteristics.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"1 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":"129546593","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}
Pub Date : 2019-05-03DOI: 10.5220/0007758401140120
Gabriel Madeira, E. N. Borges, Matheus Barañano, Prícilla Karen Nascimento, Giancarlo Lucca, Maria de Fatima Maia, H. Santos, G. Dimuro
Academic genealogy investigates the relationships between student researchers and academy professionals. In recent years, it proved to be a powerful technique to help analyze the spread of scientific knowledge. Tools that make to visualize these relationships among academics easier are potentially useful and have been proposed. This work specifies and describes the development of a Web information system for creating and visualizing academic genealogy trees from a set of metadata extracted and integrated from multiple sources. The proposed system allows a researcher to query and track information about his or her advisers and graduate students at any level. A case study was explored to validate the system using data from more than 570 thousand theses and dissertations.
{"title":"The Gold Tree: An Information System for Analyzing Academic Genealogy","authors":"Gabriel Madeira, E. N. Borges, Matheus Barañano, Prícilla Karen Nascimento, Giancarlo Lucca, Maria de Fatima Maia, H. Santos, G. Dimuro","doi":"10.5220/0007758401140120","DOIUrl":"https://doi.org/10.5220/0007758401140120","url":null,"abstract":"Academic genealogy investigates the relationships between student researchers and academy professionals. In recent years, it proved to be a powerful technique to help analyze the spread of scientific knowledge. Tools that make to visualize these relationships among academics easier are potentially useful and have been proposed. This work specifies and describes the development of a Web information system for creating and visualizing academic genealogy trees from a set of metadata extracted and integrated from multiple sources. The proposed system allows a researcher to query and track information about his or her advisers and graduate students at any level. A case study was explored to validate the system using data from more than 570 thousand theses and dissertations.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"1 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":"130682783","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}
Pub Date : 2019-05-03DOI: 10.1007/978-3-030-40783-4_6
Christoph Augenstein, Theo Zschörnig, N. Spangenberg, Robert Wehlitz, Bogdan Franczyk
{"title":"A Generic Architectural Framework for Machine Learning on Data Streams","authors":"Christoph Augenstein, Theo Zschörnig, N. Spangenberg, Robert Wehlitz, Bogdan Franczyk","doi":"10.1007/978-3-030-40783-4_6","DOIUrl":"https://doi.org/10.1007/978-3-030-40783-4_6","url":null,"abstract":"","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"36 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":"133779147","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}
Pub Date : 2019-05-03DOI: 10.5220/0007725002530260
Marius Politze, S. Bensberg, Matthias S. Müller
Our university intends to improve the central IT-support for management of research data. A core demand is supporting FAIR guiding principles. In order to make research data findable for future research projects, an application for the creation and storage of structured meta data for research data was developed. The created meta data repository enable creating, maintaining and querying research data based on discipline-specific properties. Since large number of meta data standards exist for different scientific domains, technologies from the areas of Linked Data and Semantic Web are used to process and store meta data. This work describes the requirements, the design and the implementation a the meta data application that can be integrated into existing research work flows and gives an overview of technical backgrounds used for creating the meta data repository.
{"title":"Managing Discipline-Specific Metadata Within an Integrated Research Data Management System","authors":"Marius Politze, S. Bensberg, Matthias S. Müller","doi":"10.5220/0007725002530260","DOIUrl":"https://doi.org/10.5220/0007725002530260","url":null,"abstract":"Our university intends to improve the central IT-support for management of research data. A core demand is supporting FAIR guiding principles. In order to make research data findable for future research projects, an application for the creation and storage of structured meta data for research data was developed. The created meta data repository enable creating, maintaining and querying research data based on discipline-specific properties. Since large number of meta data standards exist for different scientific domains, technologies from the areas of Linked Data and Semantic Web are used to process and store meta data. This work describes the requirements, the design and the implementation a the meta data application that can be integrated into existing research work flows and gives an overview of technical backgrounds used for creating the meta data repository.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"267 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":"133792434","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}
Pub Date : 2019-05-03DOI: 10.5220/0007658705470554
K. Foltz, W. Simpson
Software agents are installed on endpoint devices to monitor local activity, prevent harmful behavior, allow remote management, and report back to the enterprise. The challenge in this environment is the security of the agents and their communication with the enterprise. This work presents an agent architecture that operates within a high-security Enterprise Level Security (ELS) architecture that preserves end-to-end integrity, encryption, and accountability. This architecture uses secure hardware for sensitive key operations and device attestation. Software agents leverage this hardware security to provide services consistent with the ELS framework. This enables an enterprise to manage and secure all endpoint device agents and their communications with other enterprise services.
{"title":"Secure Endpoint Device Agent Architecture","authors":"K. Foltz, W. Simpson","doi":"10.5220/0007658705470554","DOIUrl":"https://doi.org/10.5220/0007658705470554","url":null,"abstract":"Software agents are installed on endpoint devices to monitor local activity, prevent harmful behavior, allow remote management, and report back to the enterprise. The challenge in this environment is the security of the agents and their communication with the enterprise. This work presents an agent architecture that operates within a high-security Enterprise Level Security (ELS) architecture that preserves end-to-end integrity, encryption, and accountability. This architecture uses secure hardware for sensitive key operations and device attestation. Software agents leverage this hardware security to provide services consistent with the ELS framework. This enables an enterprise to manage and secure all endpoint device agents and their communications with other enterprise services.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"91 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133488797","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}
Pub Date : 2019-05-03DOI: 10.5220/0007684401770187
Leila Esheiba, Amal Elgammal, M. El-Sharkawi
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.
{"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}
Pub Date : 2019-05-03DOI: 10.5220/0007722502450252
A. Dutra, R. Prikladnicki, T. Conte
This paper presents the results of a field research aiming at identifying the practices adopted by High Productivity Software Engineering Teams .This field research was developed through interviews with project managers from several companies with the following objectives: to evaluate the knowledge of the professionals in relation to the characteristics of the high performance teams found in the literature; understand and identify which practices companies use to develop each high performance characteristic; identify the training approaches that are used to improve the professionals in each practice.
{"title":"A Field Research on the Practices of High Performance Software Engineering Teams","authors":"A. Dutra, R. Prikladnicki, T. Conte","doi":"10.5220/0007722502450252","DOIUrl":"https://doi.org/10.5220/0007722502450252","url":null,"abstract":"This paper presents the results of a field research aiming at identifying the practices adopted by High Productivity Software Engineering Teams .This field research was developed through interviews with project managers from several companies with the following objectives: to evaluate the knowledge of the professionals in relation to the characteristics of the high performance teams found in the literature; understand and identify which practices companies use to develop each high performance characteristic; identify the training approaches that are used to improve the professionals in each practice.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"36 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":"115788187","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}
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