@article{PrietoGonzalezStantchevColomoPalacios2014, author = {Prieto-Gonz{\´a}lez, Lisardo and Stantchev, Vladimir and Colomo-Palacios, Ricardo}, title = {Applications of ontologies in knowledge representation of human perception}, series = {International Journal of Metadata, Semantics and Ontologie}, volume = {9}, journal = {International Journal of Metadata, Semantics and Ontologie}, number = {1}, pages = {74 -- 80}, year = {2014}, abstract = {Information overload is becoming bigger as internet grows. This entails several problems such as difficulty in finding information and redundancy of knowledge. In this paper, a solution of these problems is presented as a global representation of knowledge based on human perception, and modelled by means of ontologies. In this study we present the approach with several advantages as well as some drawbacks related to state of the art technologies.}, language = {en} } @misc{Stantchev2014, author = {Stantchev, Vladimir}, title = {Addressing Sustainability in IT-Governance Frameworks}, year = {2014}, abstract = {Keine Angabe No details}, language = {en} } @inproceedings{Stantchev2015, author = {Stantchev, Vladimir}, title = {Requirements Engineering and Risk Management Solutions}, year = {2015}, abstract = {Keine Angabe No details}, language = {en} } @article{StantchevPrietoGonzalezTamm2015, author = {Stantchev, Vladimir and Prieto-Gonz{\´a}lez, Lisardo and Tamm, Gerrit}, title = {Cloud computing service for knowledge assessment and studies recommendation in crowdsourcing and collaborative learning environments based on social network analysis}, series = {Computers in Human Behavior}, volume = {51}, journal = {Computers in Human Behavior}, number = {B}, pages = {762 -- 770}, year = {2015}, abstract = {Interactions among people have substantially changed since the emergence of social networks, the expansion of the Internet and the proliferation of connected mobile devices, and so have the possibilities of collaborative learning, with the inclusion of new e-learning platforms. From this point, assessing human knowledge in these virtual environments is not a trivial task. This work presents a novel cloud-computing-based service which relies on advanced artificial intelligence mechanisms to infer knowledge and interest from users considering the aggregated data presented from/to these users in different social networks. This way it is possible to assess with a certain degree of confidence the user knowledge level in different topics as well as recommend additional specific education related to his/her former studies in order to get a better/desired job.}, language = {en} } @inproceedings{Stantchev2015, author = {Stantchev, Vladimir}, title = {Mathematical Models for Data Analysis in Econometrics}, year = {2015}, abstract = {Keine Angabe No details}, language = {en} } @inproceedings{Stantchev2015, author = {Stantchev, Vladimir}, title = {Mathematical Models for Data Analysis in Healthcare}, year = {2015}, abstract = {Keine Angabe No details}, language = {en} } @inproceedings{Stantchev2015, author = {Stantchev, Vladimir}, title = {Governance of Cloud Computing}, year = {2015}, abstract = {Keine Angabe No details}, language = {en} }