Reference no: EM132713913

Semantic Data Technologies

Semantic Application

Objective:

To create a software application using Semantic Data Technologies (i.e. a data model using an ontology, a dataset using RDF/RDFS and an application interface that runs SPARQL queries at the back-end and executes results in human-readable format).

Concept / Aim
You can choose any idea for the application considering if the application area is a suitable one for a semantic-based application? Are the aims both useful and achievable?

e.g. an application where users can search or ?lter some data using search controls (like text ?elds, checkboxes and radio buttons).
Design

Use of RDF, RDF schema and Ontology design. You are encouraged to use existing RDF schema and Ontologies but will be assessed on your added value. This may be focused on creating your own, or extending/specialising existing frameworks, or using these in a knowledge-based application.

Implementation
Implementing a graphical user interface that will utilise the semantic dataset created in the Design phase (as explained above). You can use any programming language to implement the interface e.g. Java, PHP or C#. The interface should be executing at least 2-3 SPARQL queries.

Evaluation and Use
SPARQL queries to show how your system works. You should consider providing at least ?ve different queries to show the use of the semantic concepts for your chosen application. Please provide queries with the screenshots for the results (either run on Protégé or your SPARQL end-point). These queries may include the queries from the step above (implementation).

Critical re?ection
Critically re?ect on your application. It may include a comparison of your application with alternative approaches that use semantic information as well as those that do not. You can consider the intended outcome for your application as well as the actual ?nal result. It requires an extensive literature review.

Demonstration
You will be asked to demonstrate your application in the last two week of the semester. At this level, we assume good quality presentation i.e. proper use of English, visual effect of the presentation, content, depth of knowledge and handling of questions. The presentations can be done online too.

Learning outcome 1: Understand and critically appraise the uses of RDF and ontologies for big data, internet and knowledge based applications.

Learning outcome 2: Understand the theoretical underpinnings and their application in semantic based reasoning.

Learning outcome 3: Apply conceptual modelling principles to create semantic data models.

Learning outcome 4: Utilise semantic models to implement knowledge-based applications in a variety of domains.

Learning outcome 5: Re?ect critically on their own and others designs for semantic based applications.