Abstract

SANCHEZ REYNOSO, María Laura  and  DIVAN, Mario José. Assessment of semantic similarity in entities under monitoring: A systematic literatura mapping. Rev.fac.ing.univ. Antioquia [online]. 2021, n.99, pp.21-31. ISSN 0120-6230.  https://doi.org/10.17533/udea.redin.20200476.

The detection and evaluation of semantically similar entities in measurement projects is a key asset for real-time decision making because it allows reusing their knowledge and previous experiences. In this way, the objective of this work is to map the thematic area of ​​data stream processing to identify the topics that have been investigated in the detection of semantically similar entities. From the methodological point of view, a systematic mapping study was conducted obtaining 2,122 articles. Thus, 111 were kept refining the search strategy, and 25 were considered once the filters were applied jointly with the inclusion/exclusion criteria. After reading the 25 documents, just 6 were pertinent and allowed answering the research questions aligned with the research objective. The semantic similarity applied to entities under monitoring in the measurement and evaluation projects is a challenge. Real-time decision making depends on the obtained measures, the monitored entity, and the context in which it is immersed.

Keywords : Survey analysis; monitoring; semantic analysis; measurement; data processing.

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