The Potato Ontology: Delimitation of the Domain, Modelling Concepts, and Prospects of Performance.

The ever increasing amount of data gathered by more growers in more years offers possibilities to add value. Therefore a common and controlled vocabulary of the potato domain that describes concepts, attributes, and the relations between them in a formal way using a standardised knowledge representation is being developed: a potato ontology. The advantage is that all possible stakeholders will be able to understand the data expressed by this ontology and that software applications can process them automatically. This paper describes the procedures to establish such an ontology where competency questions formulated by stakeholders and potential users take a central position. The three main classes are those used in crop ecology: Crop, Environment and Management

Adopción y uso de sistemas de organización del conocimiento específicos de dominio: análisis y evaluación de factores limitantes

Los sistemas de organización del conocimiento (KOS – “Knowledge Organization Systems”) son una herramienta de gran ayuda de cara a la clasificación, organización y localización de información. La construcción de un KOS parte de una serie de términos, cuya selección en la mayor parte de los casos atiende a un dominio específico. Sobre estos términos se establecen distintas relaciones, como podría ser una relación jerárquica o una relación de equivalencia. La forma más elemental de uso de KOS consiste en valerse de los términos que los componen como palabras clave, mientras que las relaciones existentes permiten desarrollar funcionalidades avanzadas empleadas en áreas como la inteligencia artificial o la web semántica, entre otras. Los usuarios pueden beneficiarse de esta información de manera consciente mediante el empleo de interfaces que permiten operar con los términos y relaciones de un KOS, ya sea de manera textual o visual. La investigación relativa al desarrollo de estas interfaces tiene un largo recorrido y múltiples estudios muestran las potenciales ventajas que ofrecen para el usuario final. Sin embargo, a nivel práctico, su uso no está extendido en este sentido, contradiciendo los beneficios que resultan a nivel teórico. El presente trabajo persigue indagar en algunas de las posibles causas de este desuso y contribuir aportando metodologías que permitan evaluar su impacto, proporcionando información de utilidad para modificar un KOS de forma que se potencie su uso

Evaluating Ontology-Alignment Techniques

Schreiber, A.T. [Promotor

Classifying Organizations for Food System Ontologies using Natural Language Processing

Our research explores the use of natural language processing (NLP) methods to automatically classify entities for the purpose of knowledge graph population and integration with food system ontologies. We have created NLP models that can automatically classify organizations with respect to categories associated with environmental issues as well as Standard Industrial Classification (SIC) codes, which are used by the U.S. government to characterize business activities. As input, the NLP models are provided with text snippets retrieved by the Google search engine for each organization, which serves as a textual description of the organization that is used for learning. Our experimental results show that NLP models can achieve reasonably good performance for these two classification tasks, and they rely on a general framework that could be applied to many other classification problems as well. We believe that NLP models represent a promising approach for automatically harvesting information to populate knowledge graphs and aligning the information with existing ontologies through shared categories and concepts.Comment: Presented at IFOW 2023 Integrated Food Ontology Workshop at the Formal Ontology in Information Systems Conference (FOIS) 2023 in Sherbrooke, Quebec, Canada July 17-20th, 202

Restaurant Multi-Context-Based Information Retrieval System Ontological Model

This paper aims to improve information retrieval results by considering multi-context-based information that can be associated with retrieval. Traditional Information Retrieval has been termed inefficient because of its lack of consideration for individual user preference and contexts. An example domain where user preference and context consideration are expedient is the restaurant and food information retrieval domain. Current food-based ontologies do not provide sufficient information to tackle this challenge. We analysed existing food-based ontologies, developed and evaluated a restaurant-food-based ontology that provides application developers with a formalised restaurant-food ontology that will foster interoperability and information sharing within the domain. The ontology was developed using the methontology methodology for ontology development. Our restaurant-food ontology is based on ontology web language (OWL) and implemented in Protégé ontology editor. Using standard ontology evaluation measures of competency (in terms of precision and recall) and consistency, our results show that our ontology is 100% competent and can be used to build a range of applications that require answering a wide range of queries correctly that are general, detailed, context-based (location and environmental) and preference-based. This is currently, beyond what traditional Information retrieval and location-based systems can answer with accurac

A methodology for continuous usability assessment in educational content portals

La Comisión Europea ha mostrado un gran interés en promover portales con contenido educativo en diversas áreas de conocimiento. Este tipo de proyectos están claramente destinados a que el usuario final pueda emplear el portal de forma útil para su educación. En este sentido, la metodología de trabajo que debería seguirse para este tipo de proyectos debería estar centrada en el usuario, esto es, debería desarrollarse conforme a los principios de lo que es conocido como "User Centered Design". Sin embargo, este no es el caso de los proyectos analizados, donde se han detectado varios problemas comunes relativos a como se realizan las pruebas y experimentos con usuarios. El propósito de este trabajo es desarrollar una metodología de evaluación continua de la usabilidad para portales de contenido educativo, mostrando que esta metodología es aplicable en el contexto de este tipo de proyectos europeos y los posibles beneficios que traería su implantación.The European Commission has shown a great interest in promoting educational content portals in different areas of knowledge. These projects are clearly intended to allow end users to use said portals in useful ways for education purposes. In this sense, the methodology that should be followed for this type of projects should be centered on the user, that is, they should be developed according to the principles of what is known as "User Centered Design". However, this is not always the case of the analyzed projects, in which several common problems related to the way in which they deal with tests and experiments with users have been detected. The purpose of this work is to develop a methodology for the continuous assessment of usability for educational content portals, showing that this methodology is applicable in the context of this kind of European projects, as well as the potential benefits that its implementation would bring.Grado en Sistemas de Informació

A methodology for continuous usability assessment in educational content portals

La Comisión Europea ha mostrado un gran interés en promover portales con contenido educativo en diversas áreas de conocimiento. Este tipo de proyectos están claramente destinados a que el usuario final pueda emplear el portal de forma útil para su educación. En este sentido, la metodología de trabajo que debería seguirse para este tipo de proyectos debería estar centrada en el usuario, esto es, debería desarrollarse conforme a los principios de lo que es conocido como "User Centered Design". Sin embargo, este no es el caso de los proyectos analizados, donde se han detectado varios problemas comunes relativos a como se realizan las pruebas y experimentos con usuarios. El propósito de este trabajo es desarrollar una metodología de evaluación continua de la usabilidad para portales de contenido educativo, mostrando que esta metodología es aplicable en el contexto de este tipo de proyectos europeos y los posibles beneficios que traería su implantación.The European Commission has shown a great interest in promoting educational content portals in different areas of knowledge. These projects are clearly intended to allow end users to use said portals in useful ways for education purposes. In this sense, the methodology that should be followed for this type of projects should be centered on the user, that is, they should be developed according to the principles of what is known as "User Centered Design". However, this is not always the case of the analyzed projects, in which several common problems related to the way in which they deal with tests and experiments with users have been detected. The purpose of this work is to develop a methodology for the continuous assessment of usability for educational content portals, showing that this methodology is applicable in the context of this kind of European projects, as well as the potential benefits that its implementation would bring.Grado en Sistemas de Informació

A Global Data Ecosystem for Agriculture and Food

Agriculture would benefit hugely from a common data ecosystem. Produced and used by diverse stakeholders, from smallholders to multinational conglomerates, a shared global data space would help build the infrastructures that will propel the industry forward. In light of growing concern that there was no single entity that could make the industry-wide change needed to acquire and manage the necessary data, this paper was commissioned by Syngenta with GODAN’s assistance to catalyse consensus around what form a global data ecosystem might take, how it could bring value to key players, what cultural changes might be needed to make it a reality and finally what technology might be needed to support it. This paper looks at the challenges and principles that must be addressed in in building a global data ecosystem for agriculture. These begin with building incentives and trust: amongst both data providers and consumers: in sharing, opening and using data. Key to achieving this will be developing a broad awareness of, and making efforts to improve, data quality, provenance, timeliness and accessibility. We set out the key global standards and data publishing principles that can be followed in supporting this, including the ‘Five stars of open data’ and the ‘FAIR principles’ and offer several recommendations for stakeholders in the industry to follow