Knowledge Representation on the Web

2019-2020
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

-Learn the requirements of representing knowledge at Web scale
(Knowledge and understanding)
-Master the RDF, RDFS, OWL and SPARQL languages, and their automatic
reasoning capabilities (Apply knowledge and understanding)
-Acquire dexterity in technologies that use these languages (NoSQL
databases, RDF libraries, query languages, ontology editors) (Knowledge
and understanding)
-Set up a project and apply these methods and technologies to build
fundamental Linked Data infrastructure (Apply knowledge and
understanding) (Make judgements)
-Learn to design experiments on top of the built infrastructure to make
a scientific contribution to these fields (Apply knowledge and
understanding) (Communication)
-Obtain familiarity with the research fields of Semantic Web, Knowledge
Representation, Information Extraction, and write a research paper about
the identified research problems (Apply knowledge and understanding)
(Communication) (Lifelong learning skills)

Inhoud vak

In this course, you will learn the theory of knowledge representation
languages that are used to express information on the Web, their
application to real-world problems and data, and the research methods
behind them.

Onderwijsvorm

Content lectures (attendance mandatory)
Practical sessions (attendance mandatory)
Invited lectures (attendance mandatory)
Project development sessions
Demo market
Research paper writing

Toetsvorm

The exam (E): 30%
The project proposal (Pr) and Demo (D): 20% (10% each)
The final research paper (Pa): 50%

Literatuur

Handbook of Knowledge Representation (F. van Harmelen, V. Lifschitz, B.
Porter)
A Semantic Web Primer (F. van Harmelen, G. Antoniou)
Linked Data: Evolving the Web into a Global Data Space (T. Heath, C.
Bizer; http://linkeddatabook.com/editions/1.0/)

Doelgroep

MSc Artificial Intelligence

Toelichting Canvas

All announcements and materials are made available via Canvas

Aanbevolen voorkennis

Basic knowledge of programming; basic knowledge in logics; spoken and
written English. Basic knowledge in knowledge representation (SAT,
constraint programming, description logics, qualitative reasoning) a
plus.

Algemene informatie

Vakcode XM_0060
Studiepunten 6 EC
Periode P5
Vakniveau 400
Onderwijstaal Engels
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator dr. A. Merono Penuela
Examinator dr. I. Tiddi
Docenten dr. A. Merono Penuela
dr. I. Tiddi

Praktische informatie

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