Enrolment on this course unit is limited to 82 students.
COMP38120 Documents, Services and Data on the Web syllabus 2018-2019
The web is a rich and rapidly evolving resource. In this course unit we will explore principles and techniques that underpin the web, and investigate how these are applied to provide webs of documents, services and data. In so doing, the concepts and standards associated with resource identification, access, description and scalability will be introduced, along with recurring functionalities such as publication and search.
This is a 20 credit course unit that runs for the entire year. Each semester involves workshops that introduce and provide experience with the key technical concepts, which are then brought together in an individual software project that will include the development of scalable search techniques for documents and data.
The aim of this course unit is to provide insights into and experience of techniques relating to documents, services and data on the web. The approach is that fundamental drivers, concepts and techniques for web documents, services and data are presented and discussed in workshop settings, and that a laboratory applies and evaluates the techniques in practice.
Enabling the web
- The internet and the web.
- Basic platform: URI, HTTP, DNS.
- Recurring themes: browsing, searching, crawling, linking, annotating, dynamism, scale.
- Web standards: HTTP, XML, RDF.
The document web
- Document management.
- Crawling and analysing the web.
- Information retrieval: meeting information needs, indexing, ranking.
- Web graph mining, including PageRank.
- Enhancing search through analytics and annotation.
The services web
- Services and the web.
- Types of service: software, platform, infrastructure.
- Cloud services: drivers and challenges.
- Developing scalable cloud services, including map/reduce.
The web of data
- Data on the web, shallow and deep web.
- Linked open data, and the linked data principles.
- Linked data design.
- Publishing linked data.
- Consuming and aggregating linked data.
Feedback methodsThe unit consists of workshops and laboratories: both such formats are interactive and enable continuous formative feedback. Summative feedback will be provided on two assessed laboratory activities.
- Practical classes & workshops (46 hours)
- Analytical skills
- Problem solving
|Programme outcome||Unit learning outcomes||Assessment|
|A5 A7||Students will understand the key properties of web architectures and standards, and the key concepts and terminology of the domain.|
|A5||Students will understand how the key web properties have been applied to the document web, and will be able to distinguish between different techniques for search.|
|A5||Students will understand the drivers for cloud services, and will have obtained experience with a representative cloud platform.|
|A5||Students will understand how the key web properties have been applied to the web of data, and will be able to demonstrate how they underpin data publication and consumption.|
|B1 B3 C2 C6 D4||Students will be able to apply techniques from services to problems from the data and document webs.|
|B1 B3 C1 C6 D4||Students will be able to evaluate the techniques applied in terms of their effectiveness and scalability in practice.|
|A7||Students will have an appreciation of the role of the information systems professional in web-scale processing.|
|Linked data: evolving the web into a global data space||Heath, Tom and Christian Bizer||9781608454303||Morgan & Claypool||2011||✖|
|Economics of cloud computing: an overview for decision makers||Williams, Bill||9781587143069||Cisco Press||2012||✖|
|Introduction to information retrieval||Manning, Christopher D. and Prabhakar Raghavan and Hinrich Schutze||9780521865715||Cambridge University Press||2008||✖|
|Data-intensive text processing with MapReduce||Lin, Jimmy and Chris Dyer||9781608453429||Morgan & Claypool||2010||✖|
|MapReduce design patterns: building effective algorithms and analytics for Hadoop and other systems||Miner, Donald and Adam Shook||9781449327170||O'Reilly Media||2012||✖|
Course unit materials
Links to course unit teaching materials can be found on the School of Computer Science website for current students.