João Filipe dos Santos Sarraipa

Algoritmi | User | João Filipe dos Santos Sarraipa

At LASI

Member of the CTS R&D Unit

Academic Degree

Current Position

Personal Webpage

Personal Email

Orcid

0000-0003-3102-3179

Researcher ID

N-8492-2016

FCT Public Key

Ciência ID

E711-A18C-C261

Google Scholar

https://scholar.google.com/citations?user=w7yOsIEAAAAJ&hl=en

About Me

In the current global and knowledge-based business context, enterprise’s competitiveness is to a large extent determined by its ability to seamlessly interoperate in a collaborative business way. Consequently, to meet such business objective, it is essential that enterprises adapt their knowledge resources to smoothly interact with others. Then, the way knowledge is handled, is critical to organize such collaborative ways of working, which requires intellectual achievements sharing to facilitate continuous knowledge advancement among their members. However, due to the existent multiculturalism of people and enterprises, there are different representation views of business processes or products, even inside a same domain. Consequently, one of the main problems found in the interoperability between enterprise systems and applications is related to semantics. Semantic interoperability concerns to the ability of two systems to present and process, user information tasks in a way that meanings of those tasks are retained. It relates to the capability of managing concepts’ meanings and consequently its knowledge. A smooth semantic interoperability resolution of enterprises knowledge resources and systems requests an advanced characteristic of interoperation that is dynamicity. Such dynamic competence demands a high level of semantic adaptability, which represents the capacity level of adapting the system existent semantics or lexicon to new acquired knowledge. Additionally, it requires the automation and improvement of the enterprises business process based on the data gathered from enterprises’ hardware devices. The ability to manage such devices and to analyse its data to find patterns able to contextualize new situations will result in new fundamental business knowledge. Intelligent embedded systems able of autonomous decision-making to dynamically handle some degree of uncertainty of the new generated knowledge would increase the sensing and respective actuation of all systems in an enterprise. The sharing and integration of enterprises’ tacit or explicit knowledge to build a common knowledge base supported by artificial intelligence as learning proficiency capacitates an autonomously and dynamically knowledge acquisition able to establish and preserve interoperable communications with others. Thus, the research of knowledge creation theories and approaches for the improvement of sharing, transferring, and creation of knowledge solutions is crucial. This also conducts to the necessity of having effective knowledge transfer from research to the industry or academia, which aggregates concepts as technology enhanced learning or technological and business evaluation methods that would potentiate new technological innovations generation. Additionally, it is endorsed the vision that in the near future, knowledge creation solutions would potentiate both people and systems in joint effective self-transcending knowledge creation approaches.

Publications (71)

BRIDGING THE GAP: FOSTERING DIGITAL INCLUSION AND SOFT SKILLS IN STEM EDUCATION

2024 | conference-paper

Algoritmi | User | João Filipe dos Santos Sarraipa

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