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Citations

9

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Article has an altmetric score of 3

Grant support

This work has partially funded by Datos 4.0 (TIN2016-78011-C4-4-R) project, from Agencia Estatal de Investigacion del MINECO and ERDF.

Analysis of institutional authors

Alobaid, ACorresponding AuthorCorcho, OCorresponding Author

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December 21, 2020
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Proceedings Paper
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Typology-based semantic labeling of numeric tabular data

Publicated to:Semantic Web. 12 (1): 5-20 - 2021-01-01 12(1), DOI: 10.3233/SW-200397

Authors: Alobaid, Ahmad; Kacprzak, Emilia; Corcho, Oscar;

Affiliations

Univ Politecn Madrid, Dept Artificial Intelligence, Madrid 28223, Spain - Author
Univ Southampton, Dept Elect & Comp Sci, Southampton, Hants, England - Author

Abstract

A lot of tabular data are being published on the Web. Semantic labeling of such data may help in their understanding and exploitation. However, many challenges need to be addressed to do this automatically. With numbers, it can be even harder due to the possible difference in measurement accuracy, rounding errors, and even the frequency of their appearance. Multiple approaches have been proposed in the literature to tackle the problem of semantic labeling of numeric values in existing tabular datasets. However, they also suffer from several shortcomings: closely coupled with entity-linking, rely on table context, need to profile the knowledge graph, and require manual training of the model. Above all, however, they all treat different types of numeric values evenly. In this paper, we tackle these problems and validate our hypothesis: whether taking into account the typology of numeric data in semantic labeling yields better results.

Keywords

Fuzzy clusteringLevels of measurementsSemantic annotationSemantic labelingSemantic webTablesTypology of numbers

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Semantic Web due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science Applications.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.82, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-15, the following number of citations:

  • WoS: 2
  • Scopus: 7

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-15:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 11.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 10 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.
  • The number of mentions on Wikipedia: 2 (Altmetric).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: France; Italy; United Kingdom.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ALOBAID, AHMAD) and Last Author (CORCHO GARCIA, OSCAR).

the authors responsible for correspondence tasks have been ALOBAID, AHMAD and CORCHO GARCIA, OSCAR.