Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview |
Badenes Olmedo, Carlos (2015). RESSIST: a research object-based recommender system. Thesis (Master thesis), E.T.S. de Ingenieros Informáticos (UPM).
Title: | RESSIST: a research object-based recommender system |
---|---|
Author/s: |
|
Contributor/s: |
|
Item Type: | Thesis (Master thesis) |
Masters title: | Inteligencia Artificial |
Date: | July 2015 |
Subjects: | |
Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview |
The scientific method is a methodological approach to the process of inquiry { in which
empirically grounded theory of nature is constructed and verified [14]. It is a hard, exhaustive and dedicated multi-stage procedure that a researcher must perform to achieve
valuable knowledge. Trying to help researchers during this process, a recommender system, intended as a researcher assistant, is designed to provide them useful tools and
information for each stage of the procedure. A new similarity measure between research
objects and a representational model, based on domain spaces, to handle them in dif
ferent levels are created as well as a system to build them from OAI-PMH (and RSS)
resources. It tries to represents a sound balance between scientific insight into individual
scientific creative processes and technical implementation using innovative technologies
in information extraction, document summarization and semantic analysis at a large
scale.
Item ID: | 37126 |
---|---|
DC Identifier: | https://oa.upm.es/37126/ |
OAI Identifier: | oai:oa.upm.es:37126 |
Deposited by: | Biblioteca Facultad de Informatica |
Deposited on: | 17 Jul 2015 07:51 |
Last Modified: | 09 Oct 2015 11:31 |