Research in Web Data and Information Management

In this course, we discuss recent developments in the area of web data and information management. We select topics to discuss from the areas of:

• Web technology (e.g., web engineering, hypertext, adaptive web),

• Web data management (e.g., web data interoperability, system and data integration),

• Web data and semantics (e.g., ontologies, semantic web, metadata),

• Web data analytics (e.g., user modeling, web personalization, web information filtering and retrieval),

• Social web (e.g., social web data analytics, social networking, human computing),

• Web science (e.g., crowdsourcing, trust, data science),

• and applications that build on the above.

We discuss this content while learning about the role of scientific communication as well as the scientific methodologies and approaches for conducting research in the area.

In this research course, the students will have to prepare and give scientific presentations based on research papers about selected topics - the topics are selected in the first session, together with the students. The students will also have to attend the presentations and participate in discussions on the presented work. In addition, students will have to write a short survey about a topic in the area of web data and information management of their choice.