doc. Ing. Tomáš Vitvar, Ph.D.

2012

This project will develop cutting-edge concepts and technologies in areas of software and web engineering that will include six topics: (1) model-driven development of software, (2) interoperability of object-oriented languages, (3) Intelligent filtering of news articles on the Web, (4) software ecosystems, (5) semantic representation of services and applications, (6) semantics and dynamics of users` interests. This project will enable integration of research results within these topics, improve organization of work via better management of work, integration of research results` evaluation with better distribution of research funds that will reflect actual research outcomes.

2011

Web Services enhanced with semantics, known as Semantic Web Services, have been in an active development for one decade now. They leverage expressive semantic languages for description of services and they use logical reasoning and problem-solving methods to enable automation of service provisioning (such as discovery, selection, composition, mediation and invocation of services). Many works in this area have built problem-solving infrastructures that act on behalf of users with one goal to reduce their manual activities and replace them by intelligent behavior of software agents. Although they provide very sophisticated automation methods, they usually assume that software agents can ultimately replace users' activities. They rely only on an explicit desired state and a desired quality that should result from the service provisioning and not how users could participate in the provisioning process. They do not take into account a wider user's environmental context such as his/her prese

2014

The goal of this project will be to research and develop novel methods for Web services recommendation that will take into account their dynamics. This project will build on the results of previous SGS projects where we developed base datasets about web services and base methods for recommendation. In this project we further plan to utilize these datasets, extend them with new information and develop new methods that will take into account web services age and their lifecycle. The research of this project will continue to address research questions that were identified during the AAAI symposium in Stanford in March 2012 entitled Intelligent Web Services Meet Social Computing. In upcoming years we plan to organize the similar event.

2013

The goal of the project will be to research and develop novel crowdsourcing methods for web service annotation and methods for analysis of web service descriptions and their recommendations. We will evaluate results of this research on a set of web services from public web service directories such as ProgrammableWeb.com. We will evaluate crowdsourcing methods on a group of students who will attend the Web 2.0 course in the upcoming summer semester. This research project directly addresses selected questions that have been discussed during the AAAI Spring Symposia in Stanford in March 2012 entitled Intelligent Web Services Meet Social Computing. Doc. Ing. Tomáš Vitvar, Ph.D. was a co-chair of this symposium.