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KPIOnto: an ontology to describe (Key) Performance Indicators

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kpionto

KPIOnto: an ontology to describe (Key) Performance Indicators

Specification: http://kdmg.dii.univpm.it/kpionto

  • File "kpionto.ttl" includes the N3 serialization of the KPIOnto ontology.
  • File "kpionto.rdf" includes the RDF/XML serialization of the KPIOnto ontology.
  • The "example" folder includes usage examples of the ontology.

How to cite

Diamantini, C., Potena, D. and Storti, E. SemPI: A Semantic Framework for the Collaborative Construction and Maintenance of a Shared Dictionary of Performance Indicators. Future Generation Computer Systems (FGCS), vol. 54, pages 352-365, Elsevier, 2016.

Other papers on KPIOnto

  • Benvenuti, F., Diamantini, C., Potena D. and Storti, E. An Ontology-based Framework to Support Performance Monitoring in Public Transport Systems. Transportation Research Part C: Emerging Technologies, vol. 81, pages 188-208, Elsevier, 2017.

  • Diamantini, C., Potena D. and Storti, E. Analytics for Citizens: a Linked Open Data Model for Statistical Data Exploration. Concurrency and Computation: Practice & Experience (CCPE), 2017.

  • Diamantini, C., Potena D. and Storti, E. Exploiting mathematical structures of statistical measures for comparison of RDF Data Cubes. In: Bellatreche, L., Chakravarthy S. (eds.) Big Data Analytics and Knowledge Discovery, Dawak 2017. Lecture Notes in Computer Science, vol. 10440, pages 33-41, Springer, 2017.

  • Diamantini, C., Potena D. and Storti, E. Comparison of City Performances through Statistical Linked Data Exploration. In Proc. of the 2nd EAI International Conference on ICT Infrastructures and Services for Smart Cities (IISSC 2017), Brindisi, 20-21 aprile 2017.

  • Diamantini, C., Freddi, A., Longhi, S., Potena D. and Storti, E. A goal-oriented, ontology-based methodology to support the design of AAL environments. Expert Systems with Applications (ESWA), vol. 64, pages 117-131, Elsevier, 2016.

  • Diamantini, C. and Potena, D. and Storti, E. Extended Drill-down Operator: Digging into the Structure of Performance Indicators. Concurrency and Computation: Practice & Experience (CCPE), vol. 28, no. 15, pages 3948-3968, J. Wiley & Sons, 2016.

  • Diamantini, C., Potena, D. and Storti, E. SemPI: A Semantic Framework for the Collaborative Construction and Maintenance of a Shared Dictionary of Performance Indicators. Future Generation Computer Systems (FGCS), vol. 54, pages 352-365, Elsevier, 2016.

  • Cameranesi, M., Diamantini, C., Potena, D. and Storti, E. Semantic-driven Goal-Oriented Development of AAL Environments. In Proc. of the 2016 Int. Symposium on Collaborative Technologies and Systems (CTS 2016), IEEE, Orlando, FL, USA, pages 120-127, 2016.

  • Cameranesi, M., Diamantini, C., Potena, D. and Storti, E. GoAAL: an Ontology for Goal-oriented Development of AAL Environments. In Proc. of the 31st Symposium on Applied Computing (SAC 2016), ACM, Pisa Italy, April 4-8, 2016, pages 347-353, 2016.

  • Diamantini, C., Potena, D. and Storti, E. Collaborative Building of a Shared Library of Performance Indicators. In Proc. of the 24th Italian Symposium on Advanced Database Systems (SEBD2016), Ugento (LE), Italy, June 19-22, pages 246-253, 2016.

  • Diamantini, C. and Potena, D. and Storti, E. Monitoring Innovation and Production Improvement. In Missikoff, M. and Canducci, M. and Maiden, N. (eds.) Innovating Enterprise Innovation, pages 189-212, John Wiley & Sons, Inc., 2015.

  • Diamantini, C., Potena, D. and Storti, E. Semantics-based Multidimensional Query over Sparse Data Marts. In "Big Data Analytics and Knowledge Discovery", Proc. of 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2015), Lecture Notes in Computer Science, vol. 9263, pages 190-202, Springer, 2015.

  • Diamantini, C., Genga, L., Potena, D. and Storti, E. Collaborative Buildling of an Ontology of Key Performance Indicators. In Meersman, R. et al. (eds.) On the Move to Meaningful Internet Systems: OTM 2014 Conferences, Lecture Notes in Computer Science, vol. 8841, pages 148-165, Springer, 2014.

  • Diamantini, C., Potena, D. Storti, E. and Zhang, H. An Ontology-Based Data Exploration Tool for Key Performance Indicators. In Meersman, R. et al. (eds.) On the Move to Meaningful Internet Systems: OTM 2014 Conferences, Lecture Notes in Computer Science, vol. 8841, pages 727-744, Springer, 2014.

  • Diamantini, C., Potena, D. and Storti, E. Extending drill-down through semantic reasoning on indicator formulas. In L. Bellatreche and M. Mohania (eds.), DaWaK 2014, LNCS, vol. 8646, pages 57-68, Springer, 2014.

  • Diamantini, C., Potena, D. and Storti, E. A Logic-Based Formalization of KPIs for Virtual Enterprises. In X. Franch and P. Soffer (Eds.): CAiSE 2013 Workshops, LNBIP, vol. 148, pp. 274–285, Springer, 2013.

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