SCALEUS: Semantic Web Services Integration for Biomedical Applications

Sernadela, Pedro; González-Castro, Lorena; Oliveira, José Luís

doi:10.1007/s10916-017-0705-8

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…The knowledge base from this example can be explored through a set of semantic services available at ( http://bioinformatics.ua.pt/dmd/scaleus/ ). Access is through a SCALEUS ( 35 ) instance, offering a public SPARQL endpoint with data federation capabilities and supporting real-time inference mechanisms. Optimized text searches over the knowledge base are also available.…”

Section: Resultsmentioning

confidence: 99%

“…Developed to support the current need of semantic-web services ( 18 ), existing systems explore the potential behind semantic web technology, enabling the quick creation of new knowledge bases for further exploration. COEUS ( 34 ), SCALEUS ( 35 ) and SADI ( 36 ) are some examples of these systems, which can be used along our modular solution.…”

Section: Methodsmentioning

confidence: 99%

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A semantic-based workflow for biomedical literature annotation

Sernadela

Oliveira

2017

Database

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Computational annotation of textual information has taken on an important role in knowledge extraction from the biomedical literature, since most of the relevant information from scientific findings is still maintained in text format. In this endeavour, annotation tools can assist in the identification of biomedical concepts and their relationships, providing faster reading and curation processes, with reduced costs. However, the separate usage of distinct annotation systems results in highly heterogeneous data, as it is difficult to efficiently combine and exchange this valuable asset. Moreover, despite the existence of several annotation formats, there is no unified way to integrate miscellaneous annotation outcomes into a reusable, sharable and searchable structure. Taking up this challenge, we present a modular architecture for textual information integration using semantic web features and services. The solution described allows the migration of curation data into a common model, providing a suitable transition process in which multiple annotation data can be integrated and enriched, with the possibility of being shared, compared and reused across semantic knowledge bases.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

A semantic-based workflow for biomedical literature annotation

Sernadela

Oliveira

2017

Database

Self Cite

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“…The experiments were performed with Locust, which is an open source platform that allows the load tests configuration to simulate virtual users sending requests at the same time (Sernadela et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

SMART: a service-oriented architecture for monitoring and assessing Brazil’s Telehealth outcomes

et al. 2018

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Introduction: Brazilian Telehealth Program was instituted by the Ministry of Health in 2007. Its initial structure was composed by nine telehealth centers administered by public higher education institutions. No standards, processes, applications or quality indicators had been defined since its creation. All this, combined with the decentralization of the centers, led each one of them to develop their own system, with different programming languages and architectures. The lack of regulation and integration of the information with the Ministry of Health made it difficult to evaluate the program. In this context, this paper describes the specification, implementation and validation of an architecture, entitled SMART, to integrate the various telehealth platforms developed by the centers. Such architecture aims to standardize information so that the Ministry of Health can monitor and evaluate the results of Telehealth actions. Methods: SMART's architecture consists of four main components: a web tool for data manipulation; a web service to receive the center's production data; a component responsible for converting the received data into decision support data; and a component that collects data from external sources to compose the data warehouse. Results: The architecture was validated with performance tests, which were executed under extreme workloads. The results of the experiments were summarized in order to attest SMART's effectiveness. Conclusion: The analysis of the results obtained on real data shows that the project's performance remained stable under the workloads and its high quality was proven due to the absence of errors during the experiments.

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“…For example, ref. [127] states that the application of linked data principles is a promising solution for the interoperability issues facing the field of technologyenhanced learning. While the web-scale integration of educational resources is challenging to maintain, linked data principles can be used to model and expose metadata of educational resources, services, and APIs, thereby achieving metadata interoperability, services discovery, and data mediation [128].…”

Section: Education and E-learningmentioning

confidence: 99%

Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Rejeb

Keogh²,

Martindale

et al. 2022

Future Internet

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Huge advances in peer-to-peer systems and attempts to develop the semantic web have revealed a critical issue in information systems across multiple domains: the absence of semantic interoperability. Today, businesses operating in a digital environment require increased supply-chain automation, interoperability, and data governance. While research on the semantic web and interoperability has recently received much attention, a dearth of studies investigates the relationship between these two concepts in depth. To address this knowledge gap, the objective of this study is to conduct a review and bibliometric analysis of 3511 Scopus-registered papers on the semantic web and interoperability published over the past two decades. In addition, the publications were analyzed using a variety of bibliometric indicators, such as publication year, journal, authors, countries, and institutions. Keyword co-occurrence and co-citation networks were utilized to identify the primary research hotspots and group the relevant literature. The findings of the review and bibliometric analysis indicate the dominance of conference papers as a means of disseminating knowledge and the substantial contribution of developed nations to the semantic web field. In addition, the keyword co-occurrence network analysis reveals a significant emphasis on semantic web languages, sensors and computing, graphs and models, and linking and integration techniques. Based on the co-citation clustering, the Internet of Things, semantic web services, ontology mapping, building information modeling, bioinformatics, education and e-learning, and semantic web languages were identified as the primary themes contributing to the flow of knowledge and the growth of the semantic web and interoperability field. Overall, this review substantially contributes to the literature and increases scholars’ and practitioners’ awareness of the current knowledge composition and future research directions of the semantic web field.

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SCALEUS: Semantic Web Services Integration for Biomedical Applications

Cited by 8 publications

References 25 publications

A semantic-based workflow for biomedical literature annotation

A semantic-based workflow for biomedical literature annotation

SMART: a service-oriented architecture for monitoring and assessing Brazil’s Telehealth outcomes

Charting Past, Present, and Future Research in the Semantic Web and Interoperability

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