OceanGraph: Some Initial Steps Toward a Oceanographic Knowledge Graph

Zárate, Marcos Daniel; Rosales, Pablo; Braun, Germán; Lewis, Mirtha; Fillottrani, Pablo Rubén; Delrieux, Claudio

doi:10.1007/978-3-030-21395-4_3

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Recent research endeavors have prominently embraced the SOSA/SSN ontology for representing observational data within KGs, coupled with the utilization of GeoSPARQLenabled triplestores for KG storage. For instance, Ocean-Graph [37] aptly employs the SOSA/SSN ontology to delineate the process of aggregating information from stationary oceanographic stations, further leveraging GraphDB™(https: //graphdb.ontotext.com/) for triple storage, endowed with inherent GeoSPARQL functionality. WeKG-MF [35] materializes as a triplestore-centric KG tailored to meteorological observations furnished by Météo-France (https://meteofrance.…”

Section: Relevant Platformsmentioning

confidence: 99%

LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context

Wu,

Orlandi,

O'Sullivan

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Climate data (e.g., air temperature, precipitation) are used in a variety of environmental sectors, such as determining which crops to cultivate for farmlands, and optimizing the placement of products in retail stores. Currently, access to climate data is popularly managed by sophisticated DBMS systems, which are efficient for data processing but have limited data exchangeability across systems. By contrast, many semantic studies focus on the use of RDF knowledge graphs for climate data access, which is semantically interoperable such that data can be easily shared between different RDF knowledge graphs based on predefined domain ontologies. However, climate data is often consumed in a certain geographical context to understand its relationships with other environmental sectors. For example, the geographical context of farmyards is needed to determine which climate stations nearby are used. The interoperability proposed for the geographical context of climate data access is underexplored by relevant semantic studies, resulting in additional resource waste in integrating heterogeneous geospatial information for climate data access. In this article, we propose LinkedGeoClimate which is an interoperable RDF KGs platform for climate data access within an enriched geographical context. LinkedGeoClimate provides the necessary geographical and geospatial information for climate data access and further advances interoperable climate data access when mutual spatial relationships with other environmental sectors are concerned.

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Section: Relevant Platformsmentioning

confidence: 99%

LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context

Wu,

Orlandi,

O'Sullivan

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Further, the model is embedded, trained and tested for machine learning applications and visualized using t-SNE plot. A RDF graph-based on ocean science named OceanGraph [ 73 ] is proposed that reuse vocabularies and ontologies over the domain of biodiversity. OpenBiodiv [ 74 ] is the biodiversity knowledge graph based on FAIR-Linked data that utilized scholarly publishing and biodiversity-specific ontologies for conceptual modeling.…”

Section: Knowledge Graph Constructionmentioning

confidence: 99%

“…This classifier powered numerous hybrid knowledge graphs [ 78 , 79 , 81 ] and explored by applications of KG also such as ResearchFlow [ 91 ]. A Friend Of A Friend (FOAF) ontology is used in [ 71 , 73 ] to materialize implicit knowledge about the social relationships of authors and scientists. It is widely used ontology to explore properties related to social activities by integrating the related sources.…”

Section: Scholarly Knowledge Graph Evaluation Ontologies Data Modelsmentioning

confidence: 99%

Scholarly knowledge graphs through structuring scholarly communication: a review

Verma

Bhatia

Harit

et al. 2022

Complex Intell. Syst.

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The necessity for scholarly knowledge mining and management has grown significantly as academic literature and its linkages to authors produce enormously. Information extraction, ontology matching, and accessing academic components with relations have become more critical than ever. Therefore, with the advancement of scientific literature, scholarly knowledge graphs have become critical to various applications where semantics can impart meanings to concepts. The objective of study is to report a literature review regarding knowledge graph construction, refinement and utilization in scholarly domain. Based on scholarly literature, the study presents a complete assessment of current state-of-the-art techniques. We presented an analytical methodology to investigate the existing status of scholarly knowledge graphs (SKG) by structuring scholarly communication. This review paper investigates the field of applying machine learning, rule-based learning, and natural language processing tools and approaches to construct SKG. It further presents the review of knowledge graph utilization and refinement to provide a view of current research efforts. In addition, we offer existing applications and challenges across the board in construction, refinement and utilization collectively. This research will help to identify frontier trends of SKG which will motivate future researchers to carry forward their work.

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“…1 -Abril 2021 -e-ISSN 2007-1094 Grafo de conocimiento para determinar el dominio del aprendizaje en la educación superior INTRODUCCIÓN E l conocimiento se genera a partir de un proceso de transformación de la información (Ramírez & García, 2018), y su representación es esencial en el progreso del ser humano. Existen diferentes técnicas para representar el conocimiento (Han & Ellis, 2020;Lei et al, 2019;Lu et al, 2020;Yang et al, 2020;Zhang et al, 2020) y una de ellas está atrayendo a los investigadores del ámbito de la educación, la comunicación y de la industria: el grafo de conocimiento (GC) Mosquera & Piedra, 2018;Yoo & Jeong, 2020;Yu et al, 2017;Zárate et al, 2019;Zhao et al, 2019).…”

Section: Introductionunclassified

Knowledge Graph to determine the domain of learning in Higher Education

Almazán

Vega

Amaya

et al. 2021

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The representing of a student’s knowledge in an academic discipline plays an important role in boosting the student’s skills. To support stakeholders in the educational domain, it is necessary to provide them with robust assessment strategies that facilitate the teaching-learning process. Student´s mastery is determined by the degree of knowledge, which demonstrates objectively, on the topics included in the different areas that make up an academic discipline. Although there is a wide variety of techniques to represent knowledge, particularly Knowledge Graph technique is becoming relevant due to the structured approach and benefits it offers. This paper proposes a method that classifies and weights the nodes (topics) of a Knowledge Graph of a disciplinary area, which is analyzed through a case study. The method has two approaches: avoid exhaustive evaluation of the nodes and weight the nodes with adequate precision. Method´s application is illustrated by a case study. As results, a Knowledge Graph is obtained with its classified and weighted nodes through the application of the proposed method, in which 100% of the topics have been impacted through the objective evaluation of 20.8% representing 10 nodes. It is concluded that the proposed method has potential to be used in the representation and management of knowledge, being necessary to improve phases’ iteration to condition number of objective nodes.

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OceanGraph: Some Initial Steps Toward a Oceanographic Knowledge Graph

Cited by 6 publications

References 11 publications

LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context

LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context

Scholarly knowledge graphs through structuring scholarly communication: a review

Knowledge Graph to determine the domain of learning in Higher Education

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