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Ontology-Driven Business Intelligence for Comparative Data Analysis [chapter]

Thomas Neuböck, Bernd Neumayr, Michael Schrefl, Christoph Schütz
2014 Lecture Notes in Business Information Processing  
Wirtschaftsinformatik -Data & Knowledge Engineering Development strategy for tool support ■ Focus on primary analysis needs of business partners ■ Provide support for most frequent analysis tasks ■ Keep  ...  ., Tableau + perfect for is-reporting, multi-granular, multi-perspective -no support for business terms -no direct support for comparison -no guidance Data Warehouse Products of mega vendors + perfect  ...  Comparative OLAP ■ Build cubes for selected roll-up facts, using mdo-concepts to define points of cubes and to instantiate generic measures ■ Build likewise comparative cubes for comparative facts ■ Define  ... 
doi:10.1007/978-3-319-05461-2_3 fatcat:u5hsx7ecgjc6lbdxn2b2bnxgpy

Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework [chapter]

Sonja Zillner
2021 The Elements of Big Data Value  
The DDI framework describes all relevant aspects of any generic data-driven innovation and is backed by empirical data and scientific research encompassing a state-of-the-art analysis, an ontology describing  ...  AbstractTo support the process of identifying and scoping data-driven innovation, we are introducing the data-driven innovation (DDI) framework, which provides guidance in the continuous analysis of factors  ...  The DDI framework is based on a conceptual model represented as ontology. The DDI ontology describes all relevant aspects of any generic data-driven business.  ... 
doi:10.1007/978-3-030-68176-0_12 fatcat:gmxqcwvvuvgdjapw3d7k3typn4

THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN DATA MINING

LONGBING CAO, CHENGQI ZHANG
2007 International journal of pattern recognition and artificial intelligence  
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is to let data tell a story disclosing hidden information regarding a business issue.  ...  The results show that domain-driven data mining has a potential for further enhancing the actionability of mined patterns in real-world situation.  ...  We are grateful to the support and business knowledge from related organizations, for instance, Mr Rick Schurmann from Centrelink, and Prof. Mike Aikten from CMCRC.  ... 
doi:10.1142/s0218001407005612 fatcat:6ln5hcaxefaftp44kjdywbpjy4

Semantic Web Tools and Decision-Making [chapter]

Francisco Antunes, Manuela Freire, João Paulo Costa
2014 Lecture Notes in Business Information Processing  
We also elaborate on actual and foreseen possibilities for a deeper integration, considering the actual implementation, opportunities and constraints in the decision-making context.  ...  ), for later analysis by a DSS.  ...  Knowledge-driven and Data-driven DSS can benefit the most from Semantic Web features, as it provides enhanced content relationships with the possibility for greater retrieval accuracy.  ... 
doi:10.1007/978-3-319-07179-4_31 fatcat:fkgidorpdnedvp6ztslcqvyhf4

Towards real-time business intelligence

B. Azvine, Z. Cui, D. D. Nauck
2005 BT technology journal  
But it is becoming essential nowadays that not only is the analysis done on real-time data, but also actions in response to analysis results can be performed in real time and instantaneously change parameters  ...  This paper discusses issues and problems of current business intelligence systems, and then outlines our vision of future real-time business intelligence.  ...  We believe that technologies like intelligent data analysis, soft computing and ontologies will play a major role in the development of RTBI.  ... 
doi:10.1007/s10550-005-0043-0 fatcat:ydf5dyurcnenvcgg7glq3ad5lu

Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability

Basma Hamrouni, Abdelhabib Bourouis, Ahmed Korichi, Mohsen Brahmi
2021 Sustainability  
Consequently, applying this paradigm for software tools of business model development will make a great promise for supporting business model design, sustainability, and innovation.  ...  Aim: In this vision, the purpose of this paper is to propose a new generation of intelligent decision support systems for Business Model having the ability to provide explanations to increase confidence  ...  A number of DSSs were presented such as Model-driven DSS and Data-driven DSS, then the emergence of Communication-Driven DSS, Web-based DSS, and Knowledge-driven or Knowledge Based DSS (KB-DSS) that can  ... 
doi:10.3390/su13179819 fatcat:c5dgi4opzbfitlnyfsc6o4hl2y

Research on Ontology Modeling of Steel Manufacturing Process Based on Big Data Analysis

Qing Bao, Jian Wang, Jin Cheng, H. Gong, B. Yan, J.H. Lee
2016 MATEC Web of Conferences  
This paper proposes a big data knowledge management system(BDAKM S) adhering to data driven, intelligent analysis, service publication, dynamic update princip le which can effectively extracts knowledge  ...  Using data potentials, big data analysis can be an effective way to deal with knowledge acquisition as it solves the inaccuracy and imperfection mechanism modeling may lead to.  ...  the data driven, intelligent analysis, service publication, dynamic update patterns to transform data to knowledge: integrative service.  ... 
doi:10.1051/matecconf/20164504005 fatcat:3fk6ftu3rnchjmjjhly3rkoxga

The 'magic square': A roadmap towards emotional business intelligence

Vagan Terziyan, Olena Kaikova
2014 Journal of Decision Systems  
Acknowledgements: This research has been inspired by the TEKES Feeling$ Program for the activity "Emotional Business Intelligence".  ...  We are grateful to the anonymous reviewers for their valuable comments, which helped to essentially improve the paper.  ...  Comparably to Brézillon & Aroua (2013) , which offers contextual graphs formalism for modeling context-driven processes in a flat way, the Metapetrinet enables separate observation of processes related  ... 
doi:10.1080/12460125.2015.969592 fatcat:ylxcbcwcbnfs5bfb3uiee2zcba

Multi-criteria Evaluation of the Intelligent Dashboard for SME Managers based on Scorecard Framework

Mirosław Dyczkowski, Jerzy Korczak, Helena Dudycz
2014 Proceedings of the 2014 Federated Conference on Computer Science and Information Systems  
The evaluation method is based on a scorecard framework, oriented towards Business Intelligence (BI) systems and projects dedicated to the management supporting of small and medium enterprises (SME).  ...  Notably, the scorecard framework was extended to the new evaluation criteria associated with innovative knowledge-based functions created in the InKoM project, especially such as ontologies of economic  ...  higher regard for revenue growth and competitive advantage stemming from Business Intelligence than their larger peers One of the main parts of modern BI systems is the ontology.  ... 
doi:10.15439/2014f388 dblp:conf/fedcsis/DyczkowskiKD14 fatcat:k3axk4j7efetfizeej5kdfnqce

Stakeholders-Driven Requirements Semantics Acquisition for Networked Software Systems

Bin Wen, Peng Liang, Keqing He
2010 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops  
By employing the functions provided by semantic wikis, a stakeholders-driven semantics acquisition platform for prerequirements is designed.  ...  The semantic model can facilitate consistency check and reasoning for high-quality requirements.  ...  Compared with our work, SOP hasn't underlying model to conduct stakeholders annotation, since requirements semantics may be imprecision and lack intelligent applications.  ... 
doi:10.1109/compsacw.2010.76 dblp:conf/compsac/WenLH10 fatcat:i4sjd6n3kjgkfifezqxt3nsqrq

Multi-criteria evaluation of BI systems. The case study of InKoM dashboard

Mirosław Dyczkowski, Jerzy Korczak, Helena Dudycz
2014 Informatyka Ekonomiczna  
regard for revenue growth and competitive advantage stemming from Business Intelligence than their larger peers [Wisdom of Crowdsâ Small… 2013, p. 15 Features of SMEs and analysis of the BI market for  ...  The data exploration module in InKoM not only is integrated with topic maps/ ontologies and contains data exploration methods and algorithms dedicated for SMEs, but also is simple to use for non-analysts  ...  WIELOKRYTERIALNA EWALUACJA SYSTEMÓW BUSINESS INTELLIGENCE.  ... 
doi:10.15611/ie.2014.3.04 fatcat:jatlwoxgvnckvh3wnzsakt3mrq

Real-Time Business Intelligence [chapter]

2006 Informa Telecoms & Media  
However, it is becoming clear that business success requires such data analysis to be carried out in real-time, and that actions in response to analysis results must also be performed in real-time in order  ...  This paper discusses issues and problems of current business intelligence systems, and then outlines our vision of future real-time business intelligence.  ...  We believe that technologies like intelligent data analysis, soft computing and ontologies will play a major role in the development of RTBI.  ... 
doi:10.1201/9780849387913.ch6 fatcat:tknzjfhdcvgq7mgliqhi47ehnq

Using Ontology Engineering Methods to Improve Computer Science and Data Science Skills

Svetlana Chuprina, Vassil Alexandrov, Nia Alexandrov
2016 Procedia Computer Science  
The role of visual data exploration tools for certain issues under discussion and some use cases are discussed.  ...  This paper focuses on issues of ontology construction process, Computing Classification System and Data Science domain ontology all used to help not only IT-students but any IT-specialists from industry  ...  the existing tools that are conducive to the data-driven decision making.  ... 
doi:10.1016/j.procs.2016.05.447 fatcat:linkwrofgve2hku7cvvlqw64lq

Performance Monitoring Framework for Service Oriented System Lifecycle

Tehreem Masood, Chantal Cherifi, Nejib Moalla
2016 Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development  
Along with that we design ontologies for technical indicators at service level, binding level, composition level and server level.  ...  We design a base Service Monitoring Ontology that captures all the information about the service domain.  ...  Agent uses an OWL-S based ontology and an OWL reasoner to compare ontology based service descriptions.  ... 
doi:10.5220/0005853608000806 dblp:conf/modelsward/MasoodCM16 fatcat:chdttyzzwvcfrfhrrcavqpiyqu

Piecemeal Development of Intelligent Applications for Smart Spaces

Eila Ovaska, Jarkko Kuusijarvi
2014 IEEE Access  
Business knowledge is mostly informal and domain-dependent, but architectural knowledge is generic, at least semiformal, and represented in principles, ontologies, patterns, and rules that together form  ...  The PSE facilitates the incremental development of intelligent applications by supporting abstraction, aggregation, and adaptability in smart-space development.  ...  This phase needs its own test plan for collecting users' experiences and analysis of the collected feedback data.  ... 
doi:10.1109/access.2014.2309396 fatcat:q7mams53kzezjozwsbymi6wpq4
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