Crop Ontology: Vocabulary For Crop-related Concepts
نویسندگان
چکیده
A recurrent issue for data integration is the lack of a common and structured vocabulary used by different parties to describe their data sets. The Crop Ontology (www.cropontology.org) project aims to provide a central place where the crop community can gather to generate such standardized vocabularies and structure them into ontologies. Having standardized ontologies opens the world of the Semantic Web to data integration between different data providers. Crop Ontology is a community-based project, providing a central place for the creation of crop-related ontologies, but it can also be integrated into third-party tools through its Application Programming Interface, providing retrieval of specific terms or a more generic search functionality for all terms. The ontologies are available in RDF format, described using the OWL and RDFS standards, allowing them to be consumed by popular semantic reasoners. We believe that Crop Ontology will lead to better description of crop-related data, improving collaboration between partners and should serve as an example for other scientific fields.
منابع مشابه
Agriculture Activity Ontology : An Ontology for Core Vocabulary of Agriculture Activity
This paper proposes Agriculture Activity Ontology(AAO) as a basis of the core vocabulary of agricultural activity. Since concepts of agriculture activities are formed by the various context such as purpose, means, crop, and field, we organize the agriculture activity ontology as a hierarchy of concepts discriminated by various properties such as purpose, means, crop and field. The vocabulary of...
متن کاملMultifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature
BACKGROUND AND AIMS Agricultural crop databases maintained in gene banks of the Consultative Group on International Agricultural Research (CGIAR) are valuable sources of information for breeders. These databases provide comparative phenotypic and genotypic information that can help elucidate functional aspects of plant and agricultural biology. To facilitate data sharing within and between thes...
متن کاملAn Ontology Framework for a Crop Information System
The world today is full of information. With the coming of the Internet and the World Wide Web, various data are available to any individual with the touch of a fingertip. However most of these information are unorganized, unstructured, and does not have meaning that machines can understand. Semantic Technologies aim to give data more meaning. One such Semantic Technology that is now widely use...
متن کاملImplementing the CROP Reference Architecture: The CROP Learning Object Editor
Concept, Resource, Order, Product (CROP) is a reference architecture for adaptive Learning Objects owned by Semantic Learning Services developed by the second author. According to CROP, composite Objects are essentially recursive, and adaptively is an emergent property of Learning Service communication and collaboration. CROP is formally represented as an OWL ontology consisting of the framewor...
متن کاملThe Need for Content-lists, Dictionaries and Ontologies in Expressing and Evaluating Compliance to Crop-production Regulations, Guidelines and Standards
Regulations and standards are playing an increasingly important role in crop production. Common to the vast majority of these is that they are written in a natural language which must be interpreted by the end-user. In this paper, usecases for a controlled vocabulary will be presented, with which standards and data may be expressed in a uniform manner. Combined with a formal logic and an XML-ba...
متن کامل