Assisting Process Modeling by Identifying Business Process Elements in Natural Language Texts
Process modeling plays a significant role in the business process lifecycle, as it must stress the quality of process...
Using Multidimensional Concepts for Detecting Problematic Sub-KPIs in Analysis Systems
Business Intelligence, and more recently Big Data, have been steadily gaining traction in the last decade. As globalization triggers...
Automatically Annotating Business Process Models with Ontology Concepts at Design-Time
In business process modelling, it is known that using a consistent labelling style and vocabulary improves process model quality....
OPL-ML: A Modeling Language for Representing Ontology Pattern Languages
Reuse has been pointed out as a promising approach for Ontology Engineering. Reuse in ontologies allows speeding up the...
Evaluating Quality Issues in BPMN Models by Extending a Technical Debt Software Platform
Taking into account the current role of modelling at organizational levels, the quality of business process models (i.e., models...
Utility-Driven Data Management for Data-Intensive Applications in Fog Environments
The usage of sensors, smart devices, and wearables is becoming more and more common, and the amount of data...
Assessing the Positional Planimetric Accuracy of DBpedia Georeferenced Resources
Assessing the quality of the main linked data sources on the Web like DBpedia or Yago is an important...
Assessing the Completeness Evolution of DBpedia: A Case Study
RDF web datasets, thanks to their semantic richness, variety and fine granularity, are increasingly adopted by both researchers’ and...
The Universal Ontology: A Vision for Conceptual Modeling and the Semantic Web (Invited Paper)
This paper puts forward a vision of a universal ontology (UO) aiming at solving, or at least greatly alleviating,...
Stream Clustering of Chat Messages with Applications to Twitch Streams
This paper proposes a new stream clustering algorithm for text streams. The algorithm combines concepts from stream clustering and...
