April 2023
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69 Reads
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April 2023
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69 Reads
April 2023
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15 Reads
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1 Citation
January 2023
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119 Reads
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10 Citations
Journal of Web Semantics
January 2023
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24 Reads
Lecture Notes in Business Information Processing
Over recent years, we witnessed an astonishing growth in production and consumption of Linked Data (LD), which contains valuable information to support decision-making processes in various application domains. In this context, data visualization plays a decisive role in making sense of the large volumes of data created every day and in effectively communicating structures, processes, and trends in data in an accessible way. In this paper, we present LDViz, a visualization tool designed to support the exploration of knowledge graphs via multiple perspectives: (i) RDF graph/vocabulary inspection, (ii) RDF summarization, and (iii) exploratory search. We demonstrate the usage and feasibility of our approach through a set of use case scenarios showing how users can perform searches through SPARQL queries and explore multiple perspectives of the resulting data through multiple complementary visualization techniques. We also demonstrate the reach and generic aspects of our tool through an evaluation that tests the support of 419 different SPARQL endpoints.
January 2023
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42 Reads
November 2022
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8 Reads
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2 Citations
August 2022
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21 Reads
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2 Citations
The Web of Linked Open Data (LOD) provides access to a great number of dynamic datasets containing valuable information to support decision-making processes in diverse application domains while being publicly accessible and up-to-date. While information visualization techniques are useful to explore, analyze, and explain relationships within LOD data, the existing tools are limited to visualizing a single dataset at a time and, often, use static and preprocessed data. In this article, we leverage the linked aspect of LOD to support the dynamic integration of data into a visualization system by connecting views and distributed LOD datasets using the so-called follow-up queries. We demonstrate how our approach uses dynamic SPARQL queries to integrate external data into the exploration flow through visualization techniques and enrich the ongoing analysis. We ran a semi-structured interview to assess the usefulness of our approach, which results were encouraging while showing its relevance to explore big linked data.
July 2022
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51 Reads
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4 Citations
Lecture Notes in Computer Science
In this paper, we present the WeKG-MF Knowledge Graph constructed from open weather observations published by Météo-France institution. WeKG-MF relies on a semantic model that formalizes knowledge about meteorological observational data. The model is generic enough to be adopted and extended by meteorological data providers to publish and integrate their sources while complying with Linked Data principles. WeKG-MF offers access to a large number of meteorological variables described through spatial and temporal dimensions and thus has the potential to serve several scientific case studies from different domains including agriculture, agronomy, environment, climate change and natural disasters.KeywordsKnowledge graphSemantic modellingObservational dataLinked dataMeteorology
July 2022
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54 Reads
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6 Citations
Lecture Notes in Computer Science
A large number of semantic Web knowledge bases have been developed and published on the Web. To help the user identify the knowledge bases relevant for a given problem, and estimate their usability, we propose a declarative indexing framework and an associated visualization Web application, KartoGraphI . It provides an overview of important characteristics for more than 400 knowledge bases including, for instance, dataset location, SPARQL compatibility level, shared vocabularies, etc.
January 2022
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67 Reads
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7 Citations
Lecture Notes in Computer Science
To study and predict meteorological phenomenons and to include them in broader studies, the ability to represent and exchange meteorological data is of paramount importance. A typical approach in integrating and publishing such data now is to formalize a knowledge graph relying on Linked Data and semantic Web standard models and practices. In this paper, we first discuss the semantic modelling issues related to spatio-temporal data such as meteorological observational data. We motivate the reuse of a network of existing ontologies to define a semantic model in which meteorological parameters are semantically defined, described and integrated. The model is generic enough to be adopted and extended by meteorological data providers to publish and integrate their sources while complying with Linked Data principles. Finally, we present a meteorological knowledge graph of weather observations based on our proposed model, published in the form of an RDF dataset, that we produced by transforming observation records made by Météo-France weather stations. It covers a large number of meteorological variables described through spatial and temporal dimensions and thus has the potential to serve several scientific case studies from different domains including agriculture, agronomy, environment, climate change and natural disasters.KeywordsKnowledge graphSemantic modellingObservational dataLinked DataMeteorology
... This class corresponds to a set of measurements (values) that share some attributes (e.g., a date) and can be aggregated according to one or more dimensions (e.g., a temporal period and/or a location). The qb:Observation class is reused in order to represent a set of aggregated agro-meteorological parameters calculated based on atomic observations [23]. ...
April 2023
... The 2022 paper marked a significant step forward in the evolution of the possibilistic heuristic for ontology enrichment. In it, Felin et al. addressed the critical challenge of computational efficiency in assessing OWL subClassOf axioms against RDF data [123]. ...
Reference:
Active Learning For Axiom Discovery
November 2022
... Para el 2023 se avanza en la creación de un ecosistema LOD Cloud más robusto y sostenible. Se desarrollan nuevas herramientas y aplicaciones para facilitar el uso de LOD Cloud por parte de una audiencia más amplia (Maillot et al., 2023). LOD Cloud se consolida como una herramienta fundamental para la gestión y el análisis de datos en la era digital, donde se tiene a la fecha un total de 1314 datasets con 16 308 links (véase Figura 8). ...
January 2023
Journal of Web Semantics
... The tool proposes a feature, called Follow-up Queries, that allows users to simultaneously explore multiple SPARQL result sets on the visualization dashboard [24]. This feature supports exploratory tasks such as (i) the comparison of a particular phenomenon described by different KGs and (ii) the inclusion of complementary data (from the same or a different SPARQL endpoint) to enrich the ongoing analysis. ...
August 2022
... The 419 SPARQL endpoints used in this analysis were obtained from IndeGx [21], a framework designed to index public KGs that are available online through a SPARQL endpoint. The indexing process uses SPARQL queries to either extract the available metadata from a KG or to generate as much metadata as the endpoint allows it. ...
July 2022
Lecture Notes in Computer Science
... However, the design of ontological access to climate data should consider not only the quantity of data sources but also what domain knowledge is necessary for applications, especially in today's cross-domain climate data analytics environment. We find that most of the KGs [32]- [35] developed for climate data access are heavily based on the standardized (per W3C recommendations) SOSA/SSN [11] ontology, which can help improve general climate data accessibility, but few provide the geographical context of multi-source climate data for cross-domain climatic studies such as learning the impacts of climate change on other environmental sectors. The geographical context of climate data access is the main focus of this study, which differs from other studies that examine more of a general aspect. ...
July 2022
Lecture Notes in Computer Science
... Yacoubi Ayadi et al. [19] have proposed an approach that semantically annotates spatio-temporal EO data. Specifically, they presented a meteorological weather analysis KG, built from an RDF dataset, which was made by transforming EO data produced by Météo-France weather stations. ...
January 2022
Lecture Notes in Computer Science
... First, they identify relevant tweets for governmental measures and if relevant, detect what stance is expressed. (Menin et al., 2022) create a linked data version of the CORD-19 data set and enriched it via entity linking and argument mining. ...
Reference:
RuArg-2022: Argument Mining Evaluation
November 2021
Quantitative Science Studies
... Those metadata are necessary to describe a KB in a catalog as they constitute the core of its catalog entry. They can also be useful for result ranking in query federation systems that annotate results with their sources, such as Corese [5] and BioFed [14], to apply trust-based policies [23] or to privilege the freshness of a source. ...
January 2021
... In particular, a visualization pipeline for LOD data should also take into account the linked nature of these datasets by leveraging/supporting/exploiting these links while being capable of processing and visualizing the data appropriately. In a previous work [25], we presented and discussed a visualization pipeline for LOD exploration that supports a high level of flexibility in every step. This versatility is found in the drafting of SPARQL queries in a way that appropriately addresses the links in the linked data, in the possibility of tuning the parameters of the graphic display and the associated interaction, and in the availability of multiple visualization techniques that can help users see data according to diverse and complementary viewpoints. ...
January 2021