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Ontologies and Semantic Web (2012)

The aim of this module is to provide the theoretical and practical scientific, methodological and technology basis involved in building ontology, which will be used in building applications that integrate, combine and deduce distributed and heterogeneous information. In particular, we will present: the concepts of ontology and annotation in the context of Semantic Web and corporate semantics, the fundamental theory and best-known ontologies; languages RDF(S) and OWL, the methodologies, methods and techniques used in its building that include guidelines for identifying the life-cycle, specification, planning, conceptualisation, correspondences, reuse, reengineering, etc.; methods and techniques for the annotation of resources and significant applications. Throughout the entire module open research problems will be set that allow students to provide innovative solutions.

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ÓSCAR CORCHO
ASUNCIÓN GÓMEZ

 

Departamento de Inteligencia Artificial.
Facultad de Informática. 

Optional subject of the "Máster Universitario en Inteligencia Artificial".

 

Last review: July 2012.

 

Valora esta asignatura

 

Credits: 6 ECTS.

 

GENERAL DESCRIPTION OF THE SUBJECT

The aim of this module is to provide the theoretical and practical scientific, methodological and technology basis involved in building ontology, which will be used in building applications that integrate, combine and deduce distributed and heterogeneous information. In particular, we will present: the concepts of ontology and annotation in the context of Semantic Web and corporate semantics, the fundamental theory and best-known ontologies; languages RDF(S) and OWL, the methodologies, methods and techniques used in its building that include guidelines for identifying the life-cycle, specification, planning, conceptualisation, correspondences, reuse, reengineering, etc.; methods and techniques for the annotation of resources and significant applications. Throughout the entire module open research problems will be set that allow students to provide innovative solutions.

 

OBJETIVES: KNOWLEDGE AND SKILLS

  • To be able to identify and solve a variety of real world problems where ontologies can be successfully applied. 
  • To be able to build consensuated ontologies by reusing ontological and non ontological resources in collaborative environments. 
  • To be able to use the languages, techniques, methods and methodologies that allow creating ontologies collaboratively in distributed contexts. 
  • To be able to identify the limitations of languages, techniques, methods and methodologies, and possible improvement areas. 
  • To be able to integrate ontologies in other software systems. 
  • To be able to manage bibliographical sources and to evaluate their importance to write innovative works or to reflect the state of the art in Ontological Engineering. 

 

LECTURES STRUCTURE

All lectures, except for the introductory one, will follow this structure: 

  • Presentation (90 minutes) 
  • Discussion about work done during the week (e.g., papers that have been read, assignment that has been carried out) (25 minutes) 
  • Description of work to be done for the following week (5 minutes)

 

EVALUATION

  • Practical assignment in RDFS and SPARQL realised in groups of two. (weight on the final grade 15%) 
  • Design of an ontology in groups of three. (weight on the final grade 35%) 
  • Design of a linked data application in groups of three. (weight on the final grade 25%) 
  • Optional individual written assignment, proposed by the teacher or student in furtherance of a research topic related to the subject. Particularly will be valued the aspect researcher or innovator. (weight on the final grade 25%) 

In the call of July, the student will submit an individual assignment including: an ontology (40% of the grade), an application linked data (40% of the grade) and an individual research assignment (20%)

Assessment criteria:

The grade will be decided based on the assessment of: 

  1. Written documentation of RDF (S) and SPARQL. This assignment will count 15%. 
  2.  Written documentation and oral presentation of the assignment on Ontologies. This assignment will count 35%. 
  3. Written documentation and oral presentation of the assignment on Linked Data. This assignment will count 25%. 
  4. Written documentation presented individually on a research topic related to the subject.  

Particularly will be valued the aspect researcher or innovator. This assignment will count 25%. 

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Copyright 2009, Autores y colaboradores. Reconocer autoría/Citar obra. Pérez, A. d. M. G., Corcho, O. (2010, March 08). Ontologies and Semantic Web (2012). Retrieved August 18, 2017, from OCW UPM - OpenCourseWare de la Universidad Politécnica de Madrid Web site: http://ocw.upm.es/ciencia-de-la-computacion-e-inteligencia-artificial/ontologies-and-semantic-web-2012. Esta obra se publica bajo una licencia Licencia Creative Commons Licencia Creative Commons