IDENTIFYING DATA 2017_18
Subject (*) KNOWLEDGE REPRESENTATION AND ENGINEERING Code 17665203
Study programme
Computer Engineering: Computer Security and Intelligent Systems (2013)
 Cycle 2nd
Descriptors Credits Type Year Period
6 Optional 2Q
Language
Català
Department Computer Engineering and Mathematics
Coordinator
RIAÑO RAMOS, DAVID
 E-mail david.riano@urv.cat
Lecturers
RIAÑO RAMOS, DAVID
Web http://moodle.urv.cat
General description and relevant information In the context of computer applications, the need to implement intelligent solutions to increasing complex problems (such as business intelligence, intelligent control systems, decision support sytems, Internet browsing, etc.) is becoming every time more frequent. Many of these intelligent solutions are based on the existence of a knowledge base that regulates or affects the performance of computer systems and gives these systems the (distinguishing) character of intelligent. These knowledge bases are expressed according to some formats, structures and formal representation languages that, in some cases, define international standards. The field of "knowledge representation" in this course sets the fundamentals for these formats and languages ??for knowledge formalization. The field of "knowledge engineering" addresses the learning and practice of techniques and methods for building knowledge bases.
In this subject you only have the right to make the exam, because the degree you are studying is going to be extinguished. You have to take a look the timetable of the subject to know the exam's date. If you need an extraordinary exam session, you have to enrol for this, presenting an application to the secretariat of your campus or faculty.

Continguts
Topic Sub-topic
1. Introduction and Concepts Data, Information and Knowledge; Knowledge Types and Uses; Knowledge Representation; Knowledge Engineering; Syntax and Semantics
2. Knowledge Representation First order logic; Rules and production systems; Object-Oriented Representations; Network Representation; Ontologies
3. Knowledge Engineering Knowledge Life-Cycle; Knowledge Audit; Knowledge Acquisition; Detailed Case-Study

Atenció personalitzada
Description
The lecturer provides six outclass hours per week to attend individual and group doubts.

Avaluació
 
Other comments and second exam session

The remedial exam will be unique and it will have a weight of 100% of the final mark.

Fonts d'informació
Basic Brachman, Ronald J; Levesque, Hector J., Knowledge Representation and Reasoning, 2004, Morgan Kaufmann
Riaño, David, Knowledge Representation and Engineering Notes, yearly,

Complementary

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.