Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities

Sakor, Ahmad; Jozashoori, Samaneh; Emetis, Niazmand,; Rivas, Ariam; Bougiatiotis, Kostantinos; Aisopos, Fotis; Iglesias, Enrique; Rohde, Philipp D.; Padiya, Trupti; Krithara, Anastasia; Παλιούρας, Γεώργιος; Vidal, María-Esther

doi:10.1016/j.websem.2022.100760

Cited by 17 publications

(14 citation statements)

References 46 publications

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“…As regards the visualization of the results of analytic queries, most of the existing systems use popular types of charts, e.g., a few screenshots of these methods are shown in Figure 8 for the categories C1-C2 and in Figure 9 for the categories C3-C5. In particular, we can observe column charts, (e.g., [37,51,52,55,57]), bar charts, (e.g., [51,55,57,58,76,88]), line charts (e.g., [51,52,55,58]), pie charts (e.g., [51,52,55,57,58,72]), bubble charts (e.g., [52]), geo charts (e.g., [52,58]), area charts (e.g., [51,52,57,58]), and graph charts (e.g., [51,69,88]). Finally, a few of them that support hierarchical data use treemaps (e.g., [37,57]), while others follow more ordinary methods, i.e., tables (e.g., [44,50]).…”

Section: Visualization Of Resultsmentioning

confidence: 99%

“…As regards category C3, in many cases, the authors measure the execution time of the SPARQL queries that produce the analytics [67,69], which are executed over the resulting KG. Generally, these queries are executed quite fast, even in a few milliseconds.…”

Section: Efficiencymentioning

confidence: 99%

“…Finally, ref. [69] describes a framework called Knowledge4COVID-19, that integrates several RDF sources of COVID-19 related data. The resulting KG is exploited from machine learning methods for providing analytics and visualizations that are used for discovering adverse drug effects and for evaluating the effectiveness and toxicity of COVID-19 treatments.…”

mentioning

confidence: 99%

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A Brief Survey of Methods for Analytics over RDF Knowledge Graphs

Papadaki

Tzitzikas²,

Mountantonakis³

2023

Analytics

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There are several Knowledge Graphs expressed in RDF (Resource Description Framework) that aggregate/integrate data from various sources for providing unified access services and enabling insightful analytics. We observe this trend in almost every domain of our life. However, the provision of effective, efficient, and user-friendly analytic services and systems is quite challenging. In this paper we survey the approaches, systems and tools that enable the formulation of analytic queries over KGs expressed in RDF. We identify the main challenges, we distinguish two main categories of analytic queries (domain specific and quality-related), and five kinds of approaches for analytics over RDF. Then, we describe in brief the works of each category and related aspects, like efficiency and visualization. We hope this collection to be useful for researchers and engineers for advancing the capabilities and user-friendliness of methods for analytics over knowledge graphs.

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Section: Visualization Of Resultsmentioning

confidence: 99%

Section: Efficiencymentioning

confidence: 99%

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A Brief Survey of Methods for Analytics over RDF Knowledge Graphs

Papadaki

Tzitzikas²,

Mountantonakis³

2023

Analytics

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“…These studies can also help determine the appropriate dosage adjustments for patients with altered organ function or comorbidities. In addition, the inflammatory state of COVID-19 can impact the metabolism and pharmacokinetics of drugs, especially during severe cases and cytokine storms 1 .…”

Section: Introductionmentioning

confidence: 99%

COVID-19 Tedavisinde Kullanılan İlaçlar ve Farmakokinetiği

Demirtürk

2024

Arşiv Kaynak Tarama Dergisi

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Farmakokinetik, bir ilacın vücuda girme, dağılma, etki alanına ulaşma, etkisini gösterme ve atılma derecesi ve hızı dahil olmak üzere bu süreci kontrol eden tüm faktörlerle ilgilenir. Ayrıca bu süreç boyunca ilacın farklı kompartımanlardaki seviyesinin zamana bağlı olarak nasıl değiştiğini de inceler. Farmakokinetiğin birincil amacı hasta ve ilaçla ilgili kinetik parametreleri etkileyen değişkenleri belirlemek iken, ikincil amacı doz-konsantrasyon-zaman ilişkisindeki kinetik parametreleri tanımlamaktır. Bu nedenle, acil durumlarda veya özel popülasyonlarda kullanılan herhangi bir ilacın farmakokinetik parametreleri öğreticidir. COVID-19 bağlamında, kullanılan ilaçların farmakokinetiğini anlamak, optimum terapötik sonuçlara ulaşmak için çok önemlidir. Bu bilgi, COVID-19 hastaları için uygun dozajın, uygulama sıklığının ve tedavi süresinin belirlenmesine yardımcı olur. Farmakokinetik, potansiyel ilaç-ilaç etkileşimlerinin ve advers ilaç reaksiyonlarının olasılığının anlaşılmasında da rol oynar. Ayrıca, farmakokinetik çalışmalar COVID-19 için yeni tedavi stratejilerinin ve terapötik müdahalelerin geliştirilmesine yardımcı olabilir. Bu makalede, COVID 19 tedavisinde kullanılması gereken favipiravir, remdesivir, lopinavir, ritonavir, klorokin ve hidroksiklorokin için temel farmakokinetik parametreler açıklanmaktadır. Bu çalışma, çeşitli COVID-19 ilaçlarının farmakokinetiği hakkında bir bilgi tabanı sağlayacaktır.

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“…Finally, we conclude this paper and propose subsequent research directions. (Carlson et al 2010), Probase (Wu et al 2012), Google Knowledge Vault (Dong et al 2014), YAGO (Mahdisoltani et al 2015) and DBpedia (Lehmann et al 2015); representative domain event knowledge graphs include WorldKG (Dsouza et al 2021) and Knowledge4COVID-19 (Sakor et al 2023). These knowledge graphs are designed and constructed based on concepts, named entities and their relations from common sense and encyclopaedias to reveal static information.…”

Section: Introductionmentioning

confidence: 99%

Narrative Graph: Telling Evolving Stories Based on Event-centric Temporal Knowledge Graph

Yan

Tang

2023

J. Syst. Sci. Syst. Eng.

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As the main channel for people to obtain information and express their opinions, online media generate a huge amount of unstructured news documents every day and make it difficult for people to perceive major societal events and grasp the evolution of events. Previous studies on storyline generation are generally based on document clustering without considering event arguments and relations between events. Event-centric knowledge graph has been used to facilitate the construction of news documents to form structured event representation. Although some studies have attempted to construct timelines based on event-centric knowledge graphs, it is difficult for timelines to depict the complex structures of event evolution. In this paper, we try to represent news documents as an event-centric knowledge graph, and compress the whole knowledge graph into salient complex events in temporal order to generate storylines named narrative graph. We first collect news documents from news platforms, construct an event ontology, and build an event-centric knowledge graph with temporal relations. Graph neural network is used to detect events, while BERT fine-tuning is leveraged to identify temporal relations between events. Then, a novel generation framework of narrative graph with constraints of coherence and coverage is proposed. In addition, a case study is implemented to demonstrate how to utilize narrative graph to analyze real-world event. The experiment results show that our approach significantly outperforms the baseline approaches.

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Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities

Cited by 17 publications

References 46 publications

A Brief Survey of Methods for Analytics over RDF Knowledge Graphs

A Brief Survey of Methods for Analytics over RDF Knowledge Graphs

COVID-19 Tedavisinde Kullanılan İlaçlar ve Farmakokinetiği

Narrative Graph: Telling Evolving Stories Based on Event-centric Temporal Knowledge Graph

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