July 18, 2019
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Dealing with Semantic Heterogeneity Issues on the Web

Publicated to: IEEE INTERNET COMPUTING. PP (99): 1-1 - 2019-01-01 PP(99), DOI: 10.1109/MIC.2011.129

Authors:

Gracia J; Mena E
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Abstract

The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers. To accomplish its goals, mechanisms are required to make explicit the semantics of Web resources, to be automatically processed by software agents (this semantics being described by means of online ontologies). Nevertheless, issues arise caused by the semantic heterogeneity that naturally happens on the Web, namely redundancy and ambiguity. For tackling these issues, we present an approach to discover and represent, in a non-redundant way, the intended meaning of words in Web applications, while taking into account the (often unstructured) context in which they appear. To that end, we have developed novel ontology matching, clustering, and disambiguation techniques. Our work is intended to help bridge the gap between syntax and semantics for the Semantic Web construction.
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Keywords

Agent technologyAgentsAtmospheric measurementsC.2.4.c distributed databasesContextDistributed heterogeneous databasesGlobal information systemsH.2.4.d distributed databasesH.2.5 heterogeneous databasesH.2.8.a bioinformatics (genome or protein) databasesI computing methoI.2 artificial intelligence &amp#38#60I.2.11.b intelligent agentsI.2.11.d multiagent systemsI.2.12 intelligent web services and semantic webI.2.12 intelligent web services and semantic web &amp#38#60I.2.12.d ontology languages &amp#38#60I.2.13.i knowledge reuseMobile computingMultiagent systemsOntologiesParticle measurementsRedundancySemantic webSemanticsWeb

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE INTERNET COMPUTING due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position 12/108, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Software Engineering.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • Scopus: 1
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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 2026-04-25:

  • 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: 20 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/11396/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 480
  • Downloads: 408
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Leadership analysis of institutional authors

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 (Jorge Gracia) .

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