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Modeling Analytical Streams for Social Business Intelligence
(MDPI, 2018-08)
Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks. Contrary to traditional Business Intelligence (BI), SBI has to face the high dynamicity of both the social ...
Smart Outdoor Light Desktop Central Management System
(IEEE, 2018-04)
Light pollution and nature preservation, are new trends in which the European cities are involved as they evolve into Smart Cities. Internet of Things are changing the way that sensors and management control systems are ...
Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning
(MDPI, 2021-05-18)
The generation of electricity through renewable energy sources increases every day, with solar energy being one of the fastest-growing. The emergence of information technologies such as Digital Twins (DT) in the field of ...
Exploiting semantic annotations for open information extraction: an experience in the biomedical domain
(Springer, 2014)
The increasing amount of unstructured text published on the Web is demanding new tools and methods to automatically process and extract relevant information. Traditional information extraction has focused on harvesting ...
Social Media Multidimensional Analysis for Intelligent Health Surveillance
(MDPI, 2020-03-28)
Background: Recent work in social network analysis has shown the usefulness of analysing and predicting outcomes from user-generated data in the context of Public Health Surveillance (PHS). Most of the proposals have focused ...
BioUSeR: a semantic-based tool for retrieving Life Science web resources driven by text-rich user requirements
(BioMed Central, 2013)
Background: OpenmetadataregistriesareafundamentaltoolforresearchersintheLifeSciencestryingtolocate resources. While most current registries assume that resources are annotated with well-structured metadata, evidence shows ...
Statistically-driven generation of multidimensional analytical schemas from linked data
(Elsevier, 2016)
The ever-increasing Linked Data (LD) initiative has given place to open, large amounts of semi-structured and rich data published on the Web. However, effective analytical tools that aid the user in his/her analysis and ...
Knowledge based word-concept model estimation and refinement for biomedical text mining
(Copyright © 2014 Elsevier Inc., 2014-12)
Text mining of scientific literature has been essential for setting up large public biomedical databases, which are being widely used by the research community. In the biomedical domain, the existence of a large number of ...
Tailored semantic annotation for semantic search
(Elsevier, 2015)
This paper presents a novel method for semantic annotation and search of a target corpus using several knowledge resources (KRs). This method relies on a formal statistical framework in which KR concepts and corpus documents ...
Assessment of disease named entity recognition on a corupus of annotated sentences
(BioMed Central, 2008)
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been
focused on named entities like protein and gene names (PGNs) and gene ontology terms (GO terms). Other ...