loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Marek Jaszuk ; Teresa Mroczek and Barbara Fryc

Affiliation: University of Information Technology and Management, Poland

ISBN: 978-989-758-035-2

Keyword(s): Semantic Class, Automatic Ontology Building, Clustering Methods.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Computational Semantics ; Data Engineering ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Information Integration ; Information Retrieval ; Information Systems Analysis and Specification ; Integration/Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Pattern Recognition ; Society, e-Business and e-Government ; Software Engineering ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: The paper discusses the problem of discovering semantic classes which are the basic building block of any semantic model. A methods based on clustering techniques is proposed, which leads to discovering related data coming from survey questions and other sources of information. We explain how the questions can be interpreted as belonging to the same semantic class. Discovering semantic classes is assumed to be foundation for construction of the knowledge model (ontology) describing objects being the subjects of the survey. The ultimate goal of the research is developing a methodology for automatic building of semantic models from the data. In our case the surveys refer to different socio-economic factors describing student’s situation. Thus the particular goal of the work is construction of the knowledge model, which would allow for predicting the possible outcomes of the educational process. The research is, however, more general, and its results could be used for analyzing collectio ns of objects, for which we have data coming from surveys, and possibly some additional sources of information. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.226.234.20

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Jaszuk, M.; Mroczek, T. and Fryc, B. (2014). Identifying Semantic Classes within Student’s Data Using Clustering Technique.In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 371-376. DOI: 10.5220/0005111403710376

@conference{data14,
author={Marek Jaszuk. and Teresa Mroczek. and Barbara Fryc.},
title={Identifying Semantic Classes within Student’s Data Using Clustering Technique},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={371-376},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005111403710376},
isbn={978-989-758-035-2},
}

TY - CONF

JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Identifying Semantic Classes within Student’s Data Using Clustering Technique
SN - 978-989-758-035-2
AU - Jaszuk, M.
AU - Mroczek, T.
AU - Fryc, B.
PY - 2014
SP - 371
EP - 376
DO - 10.5220/0005111403710376

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.