A survey of semantic web technology for agriculture

Drury, Brett; Fernandes, Robson; Moura, Maria-Fernanda; Lopes, Alneu de Andrade

doi:10.1016/j.inpa.2019.02.001

Cited by 50 publications

(26 citation statements)

References 35 publications

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“…Currently, some resources speed up the data modeling of a specific location or sector. In the field of agriculture, Drury et al [11] presented different types of tools to help us develop this task: The basis of many decisions is the uniformity of architectures, and ETSI ISG CIM provides the correct interfaces (006 V1.1.1 (2019-07)) and context information management (CIM) and allows for the unified representation of the information through next generation service interfaces with linked data (NGSI-LD) [12]. This reduces the time and resources required for the management of daily tasks and for the improvement of the productivity and benefits.…”

Section: Information Models Applied To Agriculturementioning

confidence: 99%

Digital Transformation of Agriculture through the Use of an Interoperable Platform

López-Morales

Martı́nez²,

Skarmeta

2020

Sensors

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The continuous evolution of the agricultural sector justifies the incorporation and adaptation of the latest technologies. Nowadays, managing crops is possible through Internet-based technologies. Their application allows for the exploitation of information and the development of isolated applications, which, although powerful, create challenges for obtaining scalable predictions throughout the useful life of farms. To address this problem, a data model was defined to improve the management of crop plots in irrigation communities and simultaneously monitor crop needs. Consequently, the objective of this study was to create an open and interoperable platform based on standard interfaces and protocols to enable the integration of heterogeneous sources of information, while ensuring interoperability with other third-party solutions for exchanging and exploiting such information. Standard and open interfaces and protocols form the basis of the platform, thereby unifying all information in a single data model, which facilitates the better use and dissemination of information. The system was fully instantiated in a real prototype in an irrigation community; the software improved water irrigation management for the farmers connected to the platform.

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Section: Information Models Applied To Agriculturementioning

confidence: 99%

Digital Transformation of Agriculture through the Use of an Interoperable Platform

López-Morales

Martı́nez²,

Skarmeta

2020

Sensors

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“…(1) AGROVOC AGROVOC is a large international vocabulary that covers domains such as food, nutrition, agriculture, fisheries, and forestry, and is published by the Food and Agriculture Organization of the United Nations (FAO 2019 (Drury et al 2019).…”

Section: Broad Scoped Resourcesmentioning

confidence: 99%

“…Agricultural semantics technologies have been used in knowledge-based systems for the integration of data from remote devices in decision-support systems, and in expert systems such as those for disease diagnosis (Drury et al 2019). Ontology-based phenotyping information systems have been developed within some projects (Jayaraman et al 2016, Neveu et al 2019.…”

Section: Information Systems With Semantic Technologiesmentioning

confidence: 99%

Common Agriculture Vocabulary for Enhancing Semantic-level Interoperability in Japan

Takezaki

Joo

Takeda

et al. 2020

JARQ

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We introduce the features of Common Agriculture Vocabulary (CAVOC) and CAVOC-based services, review other resources for standards in the domains of agriculture and food, and briefly discuss the future direction of agricultural semantics standards in Japan based on reviews. CAVOC has been developed as a core vocabulary for enhancing semantics-level interoperability. It specifies concepts that are frequently used to annotate agricultural data on agricultural activities and crops in Japan. The CAVOC website provides uniform resource identifiers by which the concepts in CAVOC are given. The data in CAVOC can be downloaded from the website. The extension of CAVOC coverage is important to unambiguously define objects and their relationships in the domains of agriculture and food. International collaborative efforts to create standards in agricultural semantics are underway through mapping among semantic resources within international projects and by holding meetings among stakeholders. We need to join the international community in creating agricultural semantics standards so as to extend CAVOC coverage through the utilization of foreign resources.

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“…While ontologies are most widely used in the biomedical domain [15], similar tasks are performed with ontologies in a number of application areas. For example, in the agronomy domain, many ontologies have been produced to represent and analyse agronomic data [16,36]. They are used to answer questions like "what are the appropriate rice varieties for a given soil or region?"…”

Section: Introductionmentioning

confidence: 99%

OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies

Yang

Wybrow

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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Fig. 1: OntoPlot interface. Classes with associations are highlighted in colour based on the key on the right-hand side. A panel on the left (not shown) selects different types of non-hierarchy associations found within the ontology (denoted by the OWL object properties involved). The panel on the right provides search and displays additional information for selected classes (not shown).Abstract-Ontologies are formal representations of concepts and complex relationships among them. They have been widely used to capture comprehensive domain knowledge in areas such as biology and medicine, where large and complex ontologies can contain hundreds of thousands of concepts. Especially due to the large size of ontologies, visualisation is useful for authoring, exploring and understanding their underlying data. Existing ontology visualisation tools generally focus on the hierarchical structure, giving much less emphasis to non-hierarchical associations. In this paper we present OntoPlot, a novel visualisation specifically designed to facilitate the exploration of all concept associations whilst still showing an ontology's large hierarchical structure. This hybrid visualisation combines icicle plots, visual compression techniques and interactivity, improving space-efficiency and reducing visual structural complexity. We conducted a user study with domain experts to evaluate the usability of OntoPlot, comparing it with the de facto ontology editor Protégé. The results confirm that OntoPlot attains our design goals for association-related tasks and is strongly favoured by domain experts.

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A survey of semantic web technology for agriculture

Cited by 50 publications

References 35 publications

Digital Transformation of Agriculture through the Use of an Interoperable Platform

Digital Transformation of Agriculture through the Use of an Interoperable Platform

Common Agriculture Vocabulary for Enhancing Semantic-level Interoperability in Japan

OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies

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