The aim of this seminar is to give students insights in actual Web technologies. At the kick-off session, each of the lectures will give an introduction into his/her topic. The available topics are (but not limited to):

Fuzzy-Based Web Controlling
Performance measures should not only be numeric or quantitative, they could also be qualitative. The equal treatment of quantitative and qualitative properties makes the fuzzy logic approach attractive for web analytics, web controlling, and social media monitoring. Fuzzy logic overcomes the classical logic with binary values \'true\' and \'false\' and can deal with grey scales (values between 0 and 1). By this, it is possible to fuzzily categorize, analyze, and control smart objects, online customers, products or services, and processes.

Knowledge Management & Expert Systems
Knowledge Management describes different methods and practices used for gathering, storing and distributing knowledge and as such can be applied in various different fields. The focus will be on looking into Knowledge Management System in a Web based Environment for companies and adding an Expert Recommendation System on top, in order to cover the four fields of the knowledge pyramid, which are data, information, knowledge and wisdom.

Sensemaking in the Social Semantic Web
Sensemaking is a multidisciplinary field of research, with the attempt to understand the process by which entities give meaning to experience. This could be achieved by the respective entity by natural learning for humans and machine learning for computer programs. Thereby the Social Semantic Web can be seen as a Web of collective knowledge systems such as taxonomies or ontologies, which are able to provide useful information based on entities contributions and which get better as more entities participate. Here the focus is on linking these concepts and to create practical solutions for everyday challenges, such as applications or frameworks

Web Monitoring
Web Monitoring defines a systematic and continuous search for relevant information in the World Wide Web. Trough sentiment, opinion and content analysis, the aim is to find patterns to extract knowledge out of Web resources, e.g. social media content. A possible way to do this, are artificial neuronal networks, which empathize human thinking. As a consequence, Web monitoring can give deeper insights in customer thinking and improve the customer relationship. The main idea thereby is to explicitly consider and test different ideas than traditional statistical ones.

For each topic five subtopics are supposed to be developed further by student groups (preferably of two) to get a deeper knowledge in this subtopic. In the final presentation the collected knowledge can be shared and aggregated. This is a highly interdisciplinary

 Kickoff: 26 February 2018, 5pm - 6pm, University of Fribourg (Pérolles 90), room A403
• Midterm presentation: 29 March 2018, 9am - 12pm, University of Fribourg (Pérolles 90), room A403
 Final presentation: 25 May 2018, 9am - 5pm, University of Fribourg (Pérolles 90)​​​​​​​, room G414