Fuzzy Semantic Labeling of Semi-structured Numerical Datasets

Alobaid, Ahmad and Corcho, Oscar (2018). Fuzzy Semantic Labeling of Semi-structured Numerical Datasets. In: "European Knowledge Acquisition Workshop EKAW 2018", 12 - 16 Nov. 2018, Nancy - France. ISBN 978-3-030-03666-9. pp. 19-33. https://doi.org/10.1007/978-3-030-03667-6_2.

Description

Title: Fuzzy Semantic Labeling of Semi-structured Numerical Datasets
Author/s:
  • Alobaid, Ahmad
  • Corcho, Oscar
Item Type: Presentation at Congress or Conference (Article)
Event Title: European Knowledge Acquisition Workshop EKAW 2018
Event Dates: 12 - 16 Nov. 2018
Event Location: Nancy - France
Title of Book: European Knowledge Acquisition Workshop EKAW 2018
Date: 2018
ISBN: 978-3-030-03666-9
Volume: 11313
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
UPM's Research Group: Ontology Engineering Group OEG
Creative Commons Licenses: None

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Abstract

SPARQL endpoints provide access to rich sources of data (e.g. knowledge graphs), which can be used to classify other less structured datasets (e.g. CSV files or HTML tables on the Web). We propose an approach to suggest types for the numerical columns of a collection of input files available as CSVs. Our approach is based on the application of the fuzzy c-means clustering technique to numerical data in the input files, using existing SPARQL endpoints to generate training datasets. Our approach has three major advantages: it works directly with live knowledge graphs, it does not require knowledge-graph profiling beforehand, and it avoids tedious and costly manual training to match values with types. We evaluate our approach against manually annotated datasets. The results show that the proposed approach classifies most of the types correctly for our test sets.

More information

Item ID: 56252
DC Identifier: http://oa.upm.es/56252/
OAI Identifier: oai:oa.upm.es:56252
DOI: 10.1007/978-3-030-03667-6_2
Official URL: https://link.springer.com/chapter/10.1007/978-3-030-03667-6_2
Deposited by: Ahmad Alobaid
Deposited on: 02 Sep 2019 05:39
Last Modified: 02 Sep 2019 05:39
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