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This is an archived syllabus from 2015-2016

COMP60411 Modelling Data on the Web syllabus 2015-2016

COMP60411 Modelling Data on the Web

Level 6
Credits: 15
Enrolled students: 56

Course leader: Uli Sattler


Additional staff: view all staff

Assessment methods

  • 50% Written exam
  • 50% Coursework
Timetable
SemesterEventLocationDayTimeGroup
Sem 1 P1 Lecture 2.19 Fri 09:00 - 13:00 -
Sem 1 P1 Lecture 2.19 Fri 14:00 - 16:00 -
Sem 1 P1 Lab 2.25 (A+B) Fri 15:00 - 17:00 -
Themes to which this unit belongs
  • Data on the Web

Overview

This course unit covers central concepts and considerations for semi-structured and un-structured data on the web. Starting from the traditional relational view, we consider the four core concepts of data modelling, i.e., core data models, schema languages, query languages, and update mechanisms. We discuss these four core concepts for relational, tree, and graph shaped data models, and meet various formalisms, APIs, and languages that have been developed for these along the way, including XML, JSON, RDF, XQuery, XML Schema, and SPARQL.

We develop a framework for analysing whether a particular information model is well-designed, i.e., whether it makes good use of the features provided by the formalisms used, and whether it fits its purpose. We will make use of various example formalisms, APIs, and languages including XML, JSON, RDF, XQuery, XML Schema, and SPARQL and use these for various modelling exercises to deepen our understanding of these concepts.

 

Aims

This course unit aims to give students a good understanding of the core concepts of data modelling, and will give them some familiarity with various formalisms, APIs, and languages that have been developed for modelling data on the web, as well as various design and representation issues that arise. Students will learn how to compare different data modelling formalisms, and how to design or analyse a data management system, i.e., whether it makes good use of the features provided by the formalisms used, and whether it fits its purpose.

Laboratory sessions will ground the abstract notions on practical cases and tools.

Syllabus

          • Introduction: four fundamental concepts of data modelling, i.e., core data models, schema languages, query languages, and update mechanisms 

          • Tree data and formalisms (XML, JSON)

          • Schema Languages for tree data (DTDs, XML Schema, JSON Schema, and more)

          • Query Languages for tree data (XPath, XQuery)

          • APIs for tree data (DOM, SAX, ...)

          • Updating tree data and robustness

          • Graph data and formalisms (RDF, GraphML)

          • Schema Languages for graph data (RDFS)

          • Query Languages for graph data (SPARQL)

          • APIs for graph data

          • Updating graph data and robustness

Feedback methods

Weekly coursework will be collected via Blackboard, and feedback is provided through the same mechanism.

Study hours

  • Lectures (20 hours)
  • Practical classes & workshops (15 hours)

Employability skills

  • Analytical skills
  • Problem solving
  • Research
  • Written communication

Learning outcomes

Programme outcomeUnit learning outcomesAssessment
G1Have an understanding of the history and foundations of various forms of semi-structured data and their formalisms.
  • Examination
G1Have an understanding of the four fundamental concepts (core data models, schema languages, query languages, and update mechanisms, their relevant properties, an be able to analyse their use in a given data management system. Have an understanding of various formalisms developed for the fundamental concepts for semi-structured data (XML, JSON, RDF, DTDs, XML Schema, XQuery, SPARQL, etc), and be able to use them to model, describe, and query data.
  • Examination
G2 G3 G4Have mastered the basic range of techniques for representing, modelling, and querying semi- and un-structured data, and be able to use tools developed for them.
  • Examination
  • Lab assessment

Reading list

COMP60411 does not have a specified reading list.

Additional notes

Links to course unit teaching materials can be found on the School of Computer Science website for current students.