Pub Date : 2019-05-01DOI: 10.1109/ISCAS.2019.8702737
Patricio Pérez, Julio Torres-Tello, Seok-Bum Ko
Document is unavailable: This DOI was registered to an article that was not presented by the author(s) at this conference. As per section 8.2.1.B.13 of IEEE's "Publication Services and Products Board Operations Manual," IEEE has chosen to exclude this article from distribution. We regret any inconvenience.
{"title":"An Artifact-Centric Business Process Execution Platform","authors":"Patricio Pérez, Julio Torres-Tello, Seok-Bum Ko","doi":"10.1109/ISCAS.2019.8702737","DOIUrl":"https://doi.org/10.1109/ISCAS.2019.8702737","url":null,"abstract":"Document is unavailable: This DOI was registered to an article that was not presented by the author(s) at this conference. As per section 8.2.1.B.13 of IEEE's \"Publication Services and Products Board Operations Manual,\" IEEE has chosen to exclude this article from distribution. We regret any inconvenience.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129146258","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 : 2016-09-05DOI: 10.1109/EDOCW.2016.7584394
Stephan Aier, Simon Weiss, R. Winter, Bernhard Rytz
We analyze the enterprise architecture management (EAM) 'journey' of the Swiss Federal Railways over the last twenty years. Fundamental organizational changes were matched by shifts of EAM's focus from advocating an enterprise-wide perspective over developing the enterprise architecture toolbox to establishing business transformation support. Beyond maturity considerations, insights from this longitudinal case study can be gained from an institutional perspective, i.e., by describing the EAM journey not only as a process of establishing the EAM function, but also as a process that extends EAM effects beyond the boundaries of IT. We identify four principles that guided this process: (1) Consistency of norms and values (2) Focus on reinventing rather than maturing (3) Picking the right EAM 'battles', and (4) Playing on EAM's holistic perspective.
{"title":"Untangling EA's Long Path of Becoming a Partner for Business Transformation: The Case of Swiss Federal Railways","authors":"Stephan Aier, Simon Weiss, R. Winter, Bernhard Rytz","doi":"10.1109/EDOCW.2016.7584394","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584394","url":null,"abstract":"We analyze the enterprise architecture management (EAM) 'journey' of the Swiss Federal Railways over the last twenty years. Fundamental organizational changes were matched by shifts of EAM's focus from advocating an enterprise-wide perspective over developing the enterprise architecture toolbox to establishing business transformation support. Beyond maturity considerations, insights from this longitudinal case study can be gained from an institutional perspective, i.e., by describing the EAM journey not only as a process of establishing the EAM function, but also as a process that extends EAM effects beyond the boundaries of IT. We identify four principles that guided this process: (1) Consistency of norms and values (2) Focus on reinventing rather than maturing (3) Picking the right EAM 'battles', and (4) Playing on EAM's holistic perspective.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126851959","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584395
Martin Henkel, E. Perjons, Ulrika Drougge
Public organizations handle many request from citizens, some are routine requests, while others are more complex. To handle requests it is assumed that the case handler and the client share some common grounds, for example that the client and handler have a basic shared understanding of the roles and requirement on them. In this paper we examine how the concept of open data can be used to help the interaction between the client and the case handler. Open data builds upon that public data sources, such as legislations and explanations thereof, is made public. Third parties can then make use of this data and provide tailor-made services for clients. The paper is based on a case study performed at a Swedish municipality, and focus on the potential of open data application for improving the municipalities case handling.
{"title":"Using Open Data to Support Case Management","authors":"Martin Henkel, E. Perjons, Ulrika Drougge","doi":"10.1109/EDOCW.2016.7584395","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584395","url":null,"abstract":"Public organizations handle many request from citizens, some are routine requests, while others are more complex. To handle requests it is assumed that the case handler and the client share some common grounds, for example that the client and handler have a basic shared understanding of the roles and requirement on them. In this paper we examine how the concept of open data can be used to help the interaction between the client and the case handler. Open data builds upon that public data sources, such as legislations and explanations thereof, is made public. Third parties can then make use of this data and provide tailor-made services for clients. The paper is based on a case study performed at a Swedish municipality, and focus on the potential of open data application for improving the municipalities case handling.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"418 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122119348","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584367
P. Blank, M. Maurer, Melanie Siebenhofer, Andreas Rogge-Solti, Stefan Schönig
Location-aware log data is an untapped source of information that promises new business analysis insights. This is in particular the case for business processes that can be linked to sensor data such as RFID or WiFi signals. Technically, this question can be formulated as a special type of alignment problem, which is well known in process mining. In this paper, we formalize the alignment problem for spatio-temporal event data. Our contribution is a novel algorithm that finds sensor IDs that travel together on the basis of their location information. Questions centered around spatio-temporal event logs may include all kinds of movements, such as customers in shops highlighting 'Hot and Cold areas' or tracking of material and goods in a production plant. For this paper, we choose a specific challenge for retail companies, which is to find out if customers are alone or visit the shop together with family or friends. Therefore, the algorithm is tested using positioning-data of a retail shop from the fashion industry. Our results highlight the benefits of location-based process mining by showing its applicability in real scenarios.
{"title":"Location-Aware Path Alignment in Process Mining","authors":"P. Blank, M. Maurer, Melanie Siebenhofer, Andreas Rogge-Solti, Stefan Schönig","doi":"10.1109/EDOCW.2016.7584367","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584367","url":null,"abstract":"Location-aware log data is an untapped source of information that promises new business analysis insights. This is in particular the case for business processes that can be linked to sensor data such as RFID or WiFi signals. Technically, this question can be formulated as a special type of alignment problem, which is well known in process mining. In this paper, we formalize the alignment problem for spatio-temporal event data. Our contribution is a novel algorithm that finds sensor IDs that travel together on the basis of their location information. Questions centered around spatio-temporal event logs may include all kinds of movements, such as customers in shops highlighting 'Hot and Cold areas' or tracking of material and goods in a production plant. For this paper, we choose a specific challenge for retail companies, which is to find out if customers are alone or visit the shop together with family or friends. Therefore, the algorithm is tested using positioning-data of a retail shop from the fashion industry. Our results highlight the benefits of location-based process mining by showing its applicability in real scenarios.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128903567","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584388
Benjamin Flesch, Ravikiran Vatrapu
This paper reports the second iteration of the Social Set Visualizer (SoSeVi), a set theoretical visual analytics dashboard of big social data. In order to further demonstrate its usefulness in large-scale visual analytics tasks of individual and collective behavior of actors in social networks, the current iteration of the Social Set Visualizer (SoSeVi) in version II builds on recent advancements in visualizing set intersections. The development of the SoSeVi dashboard involved cutting-edge open source visual analytics libraries (D3.js) and creation of new visualizations such as of actor mobility across time and space, conversational comets, and more. SoSeVi II introduces means of real-time migration visualization between social sets.
本文报道了Social Set Visualizer (SoSeVi)的第二次迭代，SoSeVi是一个集大社交数据的理论可视化分析仪表板。为了进一步证明其在社交网络中参与者的个人和集体行为的大规模视觉分析任务中的有用性，当前版本II的社会集可视化器(SoSeVi)建立在可视化集交叉点的最新进展之上。SoSeVi仪表板的开发涉及到尖端的开源可视化分析库(D3.js)，并创建了新的可视化，例如跨时间和空间的演员移动性、会话彗星等。SoSeVi II引入了社交集之间实时迁移可视化的方法。
{"title":"Social Set Visualizer (SoSeVi) II: Interactive Computational Set Analysis of Big Social Data","authors":"Benjamin Flesch, Ravikiran Vatrapu","doi":"10.1109/EDOCW.2016.7584388","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584388","url":null,"abstract":"This paper reports the second iteration of the Social Set Visualizer (SoSeVi), a set theoretical visual analytics dashboard of big social data. In order to further demonstrate its usefulness in large-scale visual analytics tasks of individual and collective behavior of actors in social networks, the current iteration of the Social Set Visualizer (SoSeVi) in version II builds on recent advancements in visualizing set intersections. The development of the SoSeVi dashboard involved cutting-edge open source visual analytics libraries (D3.js) and creation of new visualizations such as of actor mobility across time and space, conversational comets, and more. SoSeVi II introduces means of real-time migration visualization between social sets.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114352735","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584350
Stefan Scheit, T. Ploom, B. O'Reilly, A. Glaser
Workflow automation was first applied for structured processes, for processes which were determined at design time. Decades later case management emerged, workflows which were determined at runtime. Decisions in case management are made by human actors. Case management processing is very labor intensive. How could case management be transferred to a Straight-through processing type workflow which reduces involvement of human actors? This paper focuses on merger of case management with real time analytics which helps to replace human decision makers in the case management process with automated real time decision making while preserving non-deterministic nature of the workflow. Merger of case management with real time big data analytics could be next step in the evolution of the case management. Reference architecture for case management and real time analytics merger is defined. Also a case study is presented which implements defined reference architecture.
{"title":"Automated Event Driven Dynamic Case Management","authors":"Stefan Scheit, T. Ploom, B. O'Reilly, A. Glaser","doi":"10.1109/EDOCW.2016.7584350","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584350","url":null,"abstract":"Workflow automation was first applied for structured processes, for processes which were determined at design time. Decades later case management emerged, workflows which were determined at runtime. Decisions in case management are made by human actors. Case management processing is very labor intensive. How could case management be transferred to a Straight-through processing type workflow which reduces involvement of human actors? This paper focuses on merger of case management with real time analytics which helps to replace human decision makers in the case management process with automated real time decision making while preserving non-deterministic nature of the workflow. Merger of case management with real time big data analytics could be next step in the evolution of the case management. Reference architecture for case management and real time analytics merger is defined. Also a case study is presented which implements defined reference architecture.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130202452","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584351
Pontus Johnson, M. Ekstedt, Robert Lagerström
Enterprise architecture modeling and model maintenance are time- consuming and error-prone activities that are typically performed manually. This position paper presents new and innovative ideas on how to automate the modeling of enterprise architectures. We propose to view the problem of modeling as a probabilistic state estimation problem, which is addressed using Dynamic Bayesian Networks (DBN). The proposed approach is described using a motivating example. Sources of machine-readable data about Enterprise Architecture entities are reviewed.
{"title":"Automatic Probabilistic Enterprise IT Architecture Modeling: A Dynamic Bayesian Networks Approach","authors":"Pontus Johnson, M. Ekstedt, Robert Lagerström","doi":"10.1109/EDOCW.2016.7584351","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584351","url":null,"abstract":"Enterprise architecture modeling and model maintenance are time- consuming and error-prone activities that are typically performed manually. This position paper presents new and innovative ideas on how to automate the modeling of enterprise architectures. We propose to view the problem of modeling as a probabilistic state estimation problem, which is addressed using Dynamic Bayesian Networks (DBN). The proposed approach is described using a motivating example. Sources of machine-readable data about Enterprise Architecture entities are reviewed.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129460028","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584343
R. Laue, Arian Storch
Graphical models are useful for discussing different aspects of processes, structures or requirements. The visual syntax of a standard modelling language cannot support all such aspects. There are several cases where it would be desirable to decorate the symbols in a diagram with additional visual annotations. This way, it is possible to include specific information (such as security requirements) that cannot be expressed graphically when using the standard modelling language. In our paper, we present plug-ins for the Eclipse Modelling Framework that make it possible to decorate diagrams with additional visual annotations. These plug-ins can be added to Eclipse-based modelling tools, thus allowing them to enrich the expressiveness of their diagrams.
{"title":"Adding Visual Annotations to Model Elements in Eclipse-Based Diagram Editors","authors":"R. Laue, Arian Storch","doi":"10.1109/EDOCW.2016.7584343","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584343","url":null,"abstract":"Graphical models are useful for discussing different aspects of processes, structures or requirements. The visual syntax of a standard modelling language cannot support all such aspects. There are several cases where it would be desirable to decorate the symbols in a diagram with additional visual annotations. This way, it is possible to include specific information (such as security requirements) that cannot be expressed graphically when using the standard modelling language. In our paper, we present plug-ins for the Eclipse Modelling Framework that make it possible to decorate diagrams with additional visual annotations. These plug-ins can be added to Eclipse-based modelling tools, thus allowing them to enrich the expressiveness of their diagrams.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131320581","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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