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 information and then nding the classes that best describe it. The problem with current techniques is that they do not model...
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February 5, 2020 (v1)PublicationUploaded on: December 4, 2022
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March 6, 2020 (v1)Publication
Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources requires establishing correspondences between the information and known information classes. This can be achieved with semantic labelling, which assigns known labels to structured information by classifying it according to...
Uploaded on: March 27, 2023 -
February 25, 2020 (v1)Publication
The popularity of knowledge graphs has led to the development of techniques to refine them and increase their quality. One of the main refinement tasks is completion (also known as link prediction for knowledge graphs), which seeks to add missing triples to the graph, usually by classifying potential ones as true or false. While there is a wide...
Uploaded on: March 27, 2023 -
March 7, 2023 (v1)Publication
Enterprise Application Integration (EAI) is currently one of the big challenges for Software Engineering. According to a recent report, for each dollar spent on developing an application, companies usually spend from 5 to 20 dollars to integrate it. In this paper, we propose a Domain Specific Language (DSL) for designing application integration...
Uploaded on: March 25, 2023