2019 IEEE 21st Conference on Business Informatics (CBI)最新文献_第5页

Information Security Risks, Benefits, and Mitigation Measures in Cloud Sourcing 云采购中的信息安全风险、收益和缓解措施

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00036

Frederik Wulf, Susanne Strahringer, M. Westner

引用次数: 6

Computational Modelling for Bankruptcy Prediction: Semantic Data Analysis Integrating Graph Database and Financial Ontology 破产预测的计算建模:整合图数据库和金融本体的语义数据分析

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00017

Natalia Yerashenia, A. Bolotov

{"title":"Computational Modelling for Bankruptcy Prediction: Semantic Data Analysis Integrating Graph Database and Financial Ontology","authors":"Natalia Yerashenia, A. Bolotov","doi":"10.1109/CBI.2019.00017","DOIUrl":"https://doi.org/10.1109/CBI.2019.00017","url":null,"abstract":"In this paper, we propose a novel intelligent methodology to construct a Bankruptcy Prediction Computation Model, which is aimed to execute a company's financial status analysis accurately. Based on the semantic data analysis and management, our methodology considers Semantic Database System as the core of the system. It comprises three layers: an Ontology of Bankruptcy Prediction, Semantic Search Engine, and a Semantic Analysis Graph Database system. The Ontological layer defines the basic concepts of the financial risk management as well as the objects that serve as sources of knowledge for predicting a company's bankruptcy. The Graph Database layer utilises a powerful semantic data technology, which serves as a semantic data repository for our model. The article provides a detailed description of the construction of the Ontology and its informal conceptual representation. We also present a working prototype of the Graph Database system, constructed using the Neo4j application, and show the connection between well-known financial ratios. We argue that this methodology which utilises state of the art semantic data management mechanisms enables data processing and relevant computations in a more efficient way than approaches using the traditional relational database. These give us solid grounds to build a system that is capable of tackling the data of any complexity level.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116647424","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

Towards Tax Compliance by Design: A Decentralized Validation of Tax Processes Using Blockchain Technology 通过设计实现税收合规:使用区块链技术对税收流程进行分散验证

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00071

Filip Fatz, Philip Hake, P. Fettke

{"title":"Towards Tax Compliance by Design: A Decentralized Validation of Tax Processes Using Blockchain Technology","authors":"Filip Fatz, Philip Hake, P. Fettke","doi":"10.1109/CBI.2019.00071","DOIUrl":"https://doi.org/10.1109/CBI.2019.00071","url":null,"abstract":"Tax compliance requires businesses to implement compliant processes but also documenting and reporting mechanisms to proof a compliant process execution. Non-compliance has far-reaching consequences ranging from financial penalties to criminal investigations, thus threatening the competitive position of a business. Therefore, the Organisation for Economic Co-operation and Development (OECD) investigates means, among others the blockchain technology, to ease the tax compliance efforts of businesses. However, ensuring tax compliance in business processes is a complex and challenging task, which is why tax compliance management is often implemented as an independent area of responsibility within a business. Nevertheless, an integration of tax compliance into the business processes is necessary to enable compliance by design, resulting in efficient processes. In this paper, we investigate whether blockchain technology can contribute to tax compliance by design in business processes. To meet this end, we provide a conceptual design and a prototype for compliant process execution in the context of value-added taxes.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127072207","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: 13

Information Spaces for Big Data Processing: Unification and Parallelization of Sequential Information Accumulation Procedures 面向大数据处理的信息空间:顺序信息积累过程的统一与并行化

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00031

P. Golubtsov

{"title":"Information Spaces for Big Data Processing: Unification and Parallelization of Sequential Information Accumulation Procedures","authors":"P. Golubtsov","doi":"10.1109/CBI.2019.00031","DOIUrl":"https://doi.org/10.1109/CBI.2019.00031","url":null,"abstract":"In large-scale research, data are usually collected on many sites, have a huge volume, and new data are constantly generated. Since it is often impossible to collect all the relevant data on a single computer, much attention is paid to the algorithms that provide sequential or parallel accumulation of information and do not need to store all the original data. As an example of information accumulation, the Bayesian updating procedure for linear experiments is analyzed. The corresponding information spaces are defined and the relations between them are studied. It is shown that processing can be unified and simplified by introducing a special canonical form of information representation and transforming all the data and the original prior information into this form. Thanks to the rich algebraic properties of the canonical information space, the sequential Bayesian procedure allows various parallelization options that are ideally suited for distributed data processing platforms, such as Hadoop MapReduce. This opens up the possibility of a flexible and efficient scaling of information accumulation in distributed data processing systems.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121512735","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

A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation 铁路自动化故障分析数字同伴的概念设计

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00073

Alexander Wurl, Andreas A. Falkner, Alois Haselböck, Alexandra Mazak

引用次数: 2

Development of Software Complex Personnel Assessment in RDS Environment RDS环境下复合型人员评估软件的开发

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.10104

O. Kuznetsova, Anastasia Marencova

引用次数: 0

The Effects of Mobile Device Usage on Students' Perceived Level of Dialog, Self-Regulated Learning Strategies and E-Learning Outcomes 移动设备使用对学生对话感知水平、自主学习策略和网络学习成果的影响

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00044

Sean B. Eom

引用次数: 3

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00059

Christian Dietzmann, R. Alt

引用次数: 2

Context-Aware BPM Using IoT-Integrated Context Ontologies and IoT-Enhanced Decision Models 使用物联网集成的上下文本体和物联网增强决策模型的上下文感知BPM

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00069

Rongjia Song, J. Vanthienen, Weiping Cui, Ying Wang, Lei Huang

{"title":"Context-Aware BPM Using IoT-Integrated Context Ontologies and IoT-Enhanced Decision Models","authors":"Rongjia Song, J. Vanthienen, Weiping Cui, Ying Wang, Lei Huang","doi":"10.1109/CBI.2019.00069","DOIUrl":"https://doi.org/10.1109/CBI.2019.00069","url":null,"abstract":"IoT (Internet of Things) has the capability of capturing dynamic context from the physical world into the digital world. Context-aware BPM (Business Process Management) should integrate IoT as a key perspective of dynamic context of a business process and to enhance the decision making in a business process. IoT is often used to automate the process execution or integrated in the process model as resources of smart devices and additional concepts. In this way, IoT data is directly used without processing or reasoning with other contextual data to obtain higher-order contextual knowledge, which impairs its potential capability. The context layer and the decision layer are still missing while integrating IoT in BPM to obtain context-awareness. Decisions are still considered within context-aware BPM in a traditional way. This paper provides a separate concern of decisions from the process flow. We propose that the context-aware BPM ecosystem consists of four components which are: context-aware process models, context models, decision models and context-aware process execution. A framework is proposed to connect the IoT infrastructure to the context-aware BPM ecosystem using IoT-integrated ontologies and IoT-enhanced decision models, which enables the capabilities of IoT to make business processes and the decision making involved aware of the dynamic context.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121856222","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: 19

Abusiveness is Non-Binary: Five Shades of Gray in German Online News-Comments 谩骂是非二元的:德国网络新闻评论的五种灰色阴影

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00009

Marco Niemann

{"title":"Abusiveness is Non-Binary: Five Shades of Gray in German Online News-Comments","authors":"Marco Niemann","doi":"10.1109/CBI.2019.00009","DOIUrl":"https://doi.org/10.1109/CBI.2019.00009","url":null,"abstract":"Online news comment sections face a surge in uncivil, abusive and even straightforwardly hateful and threatening posts. In Germany especially the refugee crisis beginning in 2015 has sparked a lot of controversial and even unacceptable user comments. Overwhelmed by the amount of content and facing the risk of fines and a churn of readers as well as advertisers, many platforms shut down their comment sections as a last resort. To reduce their moderation effort, academics started applying machine learning to classify comments automatically. However, these efforts so far have been mostly focused on English texts. To provide similar systems for German, this paper implements and evaluates six different machine learning classifiers and five different strategies to convert textual comments into machine-compatible vectors. Contrary to common belief in the domain, comments often evade binary classification: Often comments are not only hateful, or insulting or threatening but fall within multiple of these categories. Hence, we will go beyond traditional multi-class classification models and prototypically evaluate the use of multi-label techniques. The first evaluations indicate that systems for abusive language detection are transferable to the German language and that supporting multi-labels might not only help to improve the detection of rare abusiveness types but also lead to a more realistic representation of actual online commentary.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121867450","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