This is a system design activity aimed at developing a preliminary version of the Business Strategic Model for an organization using the well-known Business Model Canvas. Following that approach, the model helps the organization to make explicit the organization’s value propositions, customer relationships, customer segme...
This is a system design activity aimed at helping an organization to evaluate and (re)design/evolve a small domain ontology using state of the art ontology evaluation techniques.
This is a system design activity aimed at helping an organization to develop a small-sized ontology for a domain of interest to the organization.
Proposing a preliminary Enterprise Architecture Model for an Organization using the international standard ARCHIMATE. This model could represent basic aspects of a Service-Oriented Architecture, also exploring its relation to Information Systems and Infrastructure Design.
This is an activity is about the use of modern analyses and evaluation techniques to assess the ontological quality of a domain ontology/information/data/conceptual model.
Advanced Course on Information Modeling. In particular, the course employs the modeling language OntoUML and its associated methodological and computational tools to address the topic of conceptual modeling for Semantic Interoperability. The course also discusses the relation between OntoUML and the OMG SIMF – Semantic Information Model Federation – Initiative.
Teaching activity on Ontology Engineering comprising Ontological Analysis, Ontology Modeling, Ontology Codification (including aspects related to the Semantic Web) and Validation (using visual simulation).
Introductory course in the Business Modeling Canvas and related techniques and how they can be used for Value Proposition Design. The course also discusses the relation between Business Modeling and Enterprise Architecture.
Follow up course to the “Introductory course on Enterprise Architecture” using ARCHIMATE. This course addresses advanced aspects of Service-Oriented Enterprise Modeling including aspects such as Risk Management and the relation to the TOGAF standard.
Recommendation systems automatically match online users with products, documents or in general, items. They can, for instance, increase the click-through rate, purchases or average basket size in online shops. Based on a set of specifics and requirements of a domain and with access to data, offline experimentations will be performed.
Bots are becoming popular in many applications to simplify the information access processes and support users. We have experience in creating bots for helping students to select the right meal for them in the university canteen. This technology can be adapted in other application domains.
Classification is a machine learning approach to automatically assign a category to data records, where the categories can be binary values, such as good/bad, or can consist of multiple values. The basis for training a classifier is a large enough that constitutes the ground-truth, i.e., information about how the data should be labeled. Data can be, for instance, documents, sensor measurements...
This activity consists of a pilot consultancy on process mining. Process mining is a mining technique that allows to create a process model using the logs of the running process as input, to reason over it (e.g., identify bottlenecks) and to propose how to improve it. This activity will address data preparation, identification of most suitable techniques, and an initial analysis of the company...