Results 41 to 50 of about 7,514,301 (303)
BioMedInformatics, 2023 Semantic web technologies (SWT) represent data in a format that is easier for machines to understand. Validating the knowledge in data graphs created using SWT is critical to ensure that the axioms accurately represent the so-called “real” world. However,
Rashmi Burse +2 more
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ACM SIGMOD Record, 2023 Knowledge graphs (KGs) such as DBpedia, Freebase, YAGO, Wikidata, and NELL were constructed to store large-scale, real-world facts as (subject, predicate, object) triples - that can also be modeled as a graph, where a node (a subject or an object) represents an entity with attributes, and a directed edge (a predicate) is a relationship between two ...
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Survey of Medical Knowledge Graph Research and Application [PDF]
Jisuanji kexue, 2023 In the process of digitisation of medical data,choosing the right technology for efficient processing and accurate analysis of medical data is a common problem faced by the medical field today.The use of knowledge graph technology with the excellent ...
JIANG Chuanyu, HAN Xiangyu, YANG Wenrui, LYU Bohan, HUANG Xiaoou, XIE Xia, GU Yang
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Frontiers in Big Data, 2021 Knowledge graphs are a modern way to store information. However, the knowledge they contain is not static. Instances of various classes may be added or deleted and the semantic relationship between elements might evolve as well.
Jon Haël Brenas, Arash Shaban-Nejad
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CoRR, 2020 Knowledge graphs (KGs) have shown to be an important asset of large companies like Google and Microsoft. KGs play an important role in providing structured and semantically rich information, making them available to people and machines, and supplying accurate, correct and reliable knowledge.
Elwin Huaman +2 more
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Restricting the Spurious Growth of Knowledge Graphs by Using Ontology Graphs
IEEE AccessKnowledge Graphs have demonstrated a real advantage in knowledge representation, leveraging graphs NoSQL structures and schema-less technology, which offers superior comprehension, knowledge representation, interpretation, and reasoning.
Kina Tatchukova, Yanzhen Qu
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LifeGraph: A Knowledge Graph for Lifelogs [PDF]
Proceedings of the Third Annual Workshop on Lifelog Search Challenge, 2020 The data produced by efforts such as life logging is commonly multi modal and can have manifold interrelations with itself as well as external information. Representing this data in such a way that these rich relations as well as all the different sources can be leveraged is a non-trivial undertaking.
Rossetto, Luca +5 more
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Considering semantics on the discovery of relations in knowledge graphs
, 2022 S.666-680Knowledge graphs encode semantic knowledge that can be exploited to enhance different data-driven tasks, e.g., query answering, data mining, ranking or recommendation.
Vidal, Maria-Esther +3 more
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Knowledge Graph Identification [PDF]
, 2013 Large-scale information processing systems are able to extract massive collections of interrelated facts, but unfortunately transforming these candidate facts into useful knowledge is a formidable challenge. In this paper, we show how uncertain extractions about entities and their relations can be transformed into a knowledge graph.
Jay Pujara +3 more
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Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry [PDF]
, 2019 Analysing the relationship between academia and industry allows us to understand how the knowledge produced by the universities is being adopted and enriched by the industrial sector, and ultimately affects society through the release of relevant ...
Reforgiato Recupero, Diego +4 more
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