Ontology design for web sites recommendation in the health area

The query of web contents about the health area is an increasingcommon practice among users with different features. Some of them realize queries with a concrete aim, for example patients that suffer a disease or relatives of the patient, doctors, all of them demanding specific information about a disease. Others do it just by curiosity, for example to inform themselves about prevention of diseases. These users have different levels of academic training. Taken this fact into account, this paper presents the design of an ontology that aims to ease the task of determining the degree of adequacy that a given heath web site has for a given user, obtaining a recommendation of reading of the content for this user

Unifying multilevel modelling through ontologies

In the last decades, the multilevel problem has received increasing attention in the conceptual modelling and semantic web communities. Recently, we proposed a solution to this problem in the context of ontological modelling which consists in extending the Web Ontology Language OWL with a new multilevel constructor that equates instances to classes. In this work we highlight the advantages of exploiting the reasoning capabilities of OWL ontologies with the proposed multilevel constructor by analizing requirements from a real-world application on the accounting domain

Web Site Recommendation Modelling Assisted by Ontologies Networks

Web site recommendation systems help to get high quality information. The modeling of recommendation system involves the combination of many features:metrics of quality, quality criteria, recommendation criteria, user profile, specific domain, among others. At the moment of the specification of a recommendation system it must be guaranteed a right interrelation of all of this features. In this paper we propose a ontology network based process for web site recommendation modeling. This ontology network conceptualizes the different domains (web site domain, quality assurance domain, user context domain, recommendation criteria domain, specific domain) in a set of interrelated ontologies. Basically, this work introduces the semantic relationships that were used to construct this ontology network. Moreover, it shows the usefulness of this ontology network for the detection of possible inconsistencies when specifying recommendation criteria. Particularly, this approach is illustrated for the health domain

Estudio de metodologías de diseño y desarrollo de ontologías :aplicación a un caso de estudio de evaluación de sitios web en el área de la salud

A principios de los anos 90\2019 comienza un proceso de análisis de buenas prácticas de construcción de ontologías, que tiene como resultado la publicación de metodologías de diseño con diferentes enfoques. El presente trabajo comienza con el estudio de seis metodologías de diseño de ontologías representativas de la evolución de este proceso, con un análisis comparativo que muestra que ninguna de las metodologías cumple, al mismo tiempo, con los siguientes tres requerimientos: (i) Especificar en detalle la actividad de adquisición de conocimiento (ii) Ser suficientemente flexible para dar soporte a la construcción inicial de una ontología y a su evolución posterior, tanto si se trata de una ontología independiente de una aplicación especifica o creada especialmente para ser utilizada por una aplicación particular (iii) Proveer mecanismos de trabajo colaborativo y distribuido. En base a este análisis, se realiza una propuesta de metodología de diseño y desarrollo de ontologías, que se denomina Conceptual Ontology Design, que rescata las mejores prácticas identificadas en las metodologías estudiadas y define estrategias para contemplar estos tres requerimientos. A medida que fue elaborada, esta propuesta fue validada con un caso de estudio de evaluación de sitios web en el área de la salud. Esta realidad plantea el desafío de intentar emitir recomendaciones a los usuarios que consultan documentos de sitios web del dominio de la salud, de acuerdo a aracterísticas de los contenidos de los documentos y a las características de los usuarios que los consultan. Para ello es necesario clasificar estos documentos de acuerdo a diferentes factores de calidad como lo son confianza en la fuente y legibilidad, y tener en cuenta aspectos de los usuarios como nivel académico y rol que cumplen (usuario común, paciente, familiar del paciente, etc.).Cuando un usuario consulta un documento, en base a la evaluación del par [documento, usuario] debe emitirse una recomendación al usuario, que le sugiera en menor o mayor grado la lectura del documento. En este trabajo se construyo una ontología que a través de axiomas y reglas de inferencia hace posible emitir tal recomendación, a la vez que permitió llevar a cabo una validación primaria de la propuesta de metodología de diseño y desarrollo de ontologías

Ontology-based process for recommending health websites

Website content quality is particularly relevant in the health domain. A common user needs to retrieve health information that is precise, reliable and relevant to his/her profile. Website recommendation systems are an aid to get high quality health-related web sites according to the user's needs. However, in practice, it is not always evident how to describe recommendation criteria for health website. The goal of this paper is to describe, by an ontology network, the criteria used by a health website recommendation process. This ontology network conceptualizes the different domains that are involved in the Salus Recommendation Project as a set of interrelated ontologies.Publicado en IFIP Advances in Information and Communication Technology book series (IFIPAICT, vol. 341).Laboratorio de Investigación y Formación en Informática Avanzad

Ontology-based process for recommending health websites

Website content quality is particularly relevant in the health domain. A common user needs to retrieve health information that is precise, reliable and relevant to his/her profile. Website recommendation systems are an aid to get high quality health-related web sites according to the user's needs. However, in practice, it is not always evident how to describe recommendation criteria for health website. The goal of this paper is to describe, by an ontology network, the criteria used by a health website recommendation process. This ontology network conceptualizes the different domains that are involved in the Salus Recommendation Project as a set of interrelated ontologies.Publicado en IFIP Advances in Information and Communication Technology book series (IFIPAICT, vol. 341).Laboratorio de Investigación y Formación en Informática Avanzad

Web Site Recommendation Modelling Assisted by Ontologies Networks

Web site recommendation systems help to get high quality information. The modeling of recommendation system involves the combination of many features:metrics of quality, quality criteria, recommendation criteria, user profile, specific domain, among others. At the moment of the specification of a recommendation system it must be guaranteed a right interrelation of all of this features. In this paper we propose a ontology network based process for web site recommendation modeling. This ontology network conceptualizes the different domains (web site domain, quality assurance domain, user context domain, recommendation criteria domain, specific domain) in a set of interrelated ontologies. Basically, this work introduces the semantic relationships that were used to construct this ontology network. Moreover, it shows the usefulness of this ontology network for the detection of possible inconsistencies when specifying recommendation criteria. Particularly, this approach is illustrated for the health domain

The Description Logic SHIQ with a Flexible Meta-modelling Hierarchy

This work is motivated by a real-world case study where it is necessary to integrate and relate existing ontologies through meta-modelling. For this, we introduce the Description Logic SHIQM which is obtained from SHIQ byadding statements that equate individuals to concepts in a knowledge base. In this new extension, concepts can be individuals of another concept (called meta-concept) which itself can be an individual of yet another concept (called meta meta-concept ) and so on. We define an algorithm that checks consistency of SHIQM by modifying the Tableau algorithm for SHIQ. From the practical point of view, this has the advantage that we can reuse the code of existing OWL reasoners. From the theoretical point of view, it has a similar advantage of reuse. We make use of the existing results and proofs that lead to correctness of the algorithm for SHIQ in order to prove correctness of the algorithm for SHIQM