COM3504 The Intelligent Web
||This course is concerned with getting acquainted with the
present and future of the advanced Web. We will read and
discuss both introductory descriptions and cutting-edge
research papers. Topics will include:
- Basic technologies for searching and mining the WWW
- Large scale methodologies for the Web (e.g. Mapreduce)
- Client server architectures
- Advanced mobile Web apps
- Web 2.0 and Web 3.0 concepts, including mining social
media (e.g. Twitter and Facebook)
- The Web of Data and the Semantic Web.
Students should be aware that there are limited places available on this course.
||Prof. Fabio Ciravegna
|| The Web will look quite different in five years’ time.
This unit aims to let students aware of the changes in Web
technologies that are currently taking place, and to prepare
them for the coming future. Such changes involve the use of
advanced techniques that will allow more focused searches
and the creation of a new breed of automatic services based
on advanced agents. The aim of the module is:
- to describe the main approaches to the advanced
- to develop students' skills in designing and building
serious advanced systems for the Web
|| On completion of this course, students should:
- Know the basics of Web searching and how to design a
crawler and a client server architecture
- Know about a number of state-of-the-art advanced
- Have an in-depth knowledge about in client server architectures supporting services such as noSQL databases and connections to remote APIs
- Be able to write or customize a web system which uses
the Web of Data and Web 2.0 techniques
- Part I: Setting the Scene:
- A history of the Internet and the Web
- Present and Future Web
- Part II: Clients and Servers
- HTTP protocol
- Client server architectures in NodeJs
- Asynchronous and synchronous client/server connections
- Accessing remote noSQL databases
- Socket.io and WebRTC for Web video communication
- The mobile Web: progressive web apps and hybrid apps
- Part III: horizon scanning
- Spidering the Web and search engines: why where and what
- Web 2.0 and 3.0: why and what
- Part V: The Web of Data
- Part VI: Conclusions
- The future as seen from here.
||Only available to students within the Department of
Computer Science. This module cannot be taken with COM3517. The maximum number of students allowed on the module is 130.
|| Students learn the course matter through a mixture of
lectures, tutorials and laboratories. Each week there will
be 2 hours of lecture/tutorials and from the third week of
semester, 1 hour of supervised laboratory work.
||Students will be given formative (i.e. non marked) feedback on the first
part of the assignment within three weeks of submission.
||Most of the material for the module is provided in the
form of hyperlinks to relevant pages in the lecture notes
and on Blackboard.