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Artículo
TAPON: a two-phase machine learning approach for semantic labelling
(Elsevier, 2019-01-01)
Through semantic labelling we enrich structured information from sources such as HTML pages, tables, or JSON files, with labels to integrate it into a local ontology. This process involves measuring some features of the ...
Artículo
TAPON-MT: a versatile framework for semantic labelling
(Elsevier, 2019-07)
Semantic labelling refers to the problem of assigning known labels to the elements of structured information from a source such as an HTML table or an RDF dump with unknown semantics. In the recent years it has become ...
Artículo
An evolutionary approach to estimating software development projects
(Elsevier, 2001)
The use of dynamic models and simulation environments in connection with software projects paved the way for tools that allow us to simulate the behaviour of the projects. The main advantage of a Software Project Simulator ...