Ing. Jaroslav Kuchař, Ph.D.

2020 - 2021

Společnost připravuje vytvoření datové platformy, která propojí dosud nespolupracující roztroušená veřejně dostupná data z datových a informačních zdrojů z oblasti marketingu, médií a komunikace. Datová platforma na jednom místě poskytne přehled o datových zdrojích využitelných v rámci procesu marketingové komunikace.

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.