ClioPatria: A SWI-Prolog Infrastructure for the Semantic Web

ClioPatria is a comprehensive semantic web development framework based on SWI-Prolog. SWI-Prolog provides an efficient C-based main-memory RDF store that is designed to cooperate naturally and efficiently with Prolog, realizing a flexible RDF-based environment for rule based programming. ClioPatria extends this core with a SPARQL and LOD server, an extensible web frontend to manage the server, browse the data, query the data using SPARQL and Prolog and a Git-based plugin manager. The ability to query RDF using Prolog provides query composition and smooth integration with application logic. ClioPatria is primarily positioned as a prototyping platform for exploring novel ways of reasoning with RDF data. It has been used in several research projects in order to perform tasks such as data integration and enrichment and semantic search

MODEL ONTOLOGI VARIETAS KELAPA SAWIT SEBAGAI DASAR SISTEM BERBASIS PENGETAHUAN RISET PERKEBUNAN

Knowledge is an important asset that is easily lost. This loss process has a significant impact on plantation research organizations whose research takes a long time. This research aimed to develop an ontology model for recording knowledge about oil palm varieties. In order to save knowledge, in this research nine oil palm varieties were modeled into ontology using the Web Ontology Language (OWL). Any information in oil palm varieties can be sorted and grouped into classes, object properties, data properties, or data expressions. The relationship between data in oil palm varieties can be well represented using ontology. Based on the results from HermiT reasoners, the ontologies with 43 classes are consistent. Information in the ontology of oil palm varieties can be easily rediscovered using the description logic query (DL-Query). The model produced from this research can be used as an initial model in designing knowledge management systems and ontology-based oil palm expert systems.Keywords: ontology, OWL, oil palm seed, knowledge managemen

BiOSS: A system for biomedical ontology selection

In biomedical informatics, ontologies are considered a key technology for annotating, retrieving and sharing the huge volume of publicly available data. Due to the increasing amount, complexity and variety of existing biomedical ontologies, choosing the ones to be used in a semantic annotation problem or to design a specific application is a difficult task. As a consequence, the design of approaches and tools addressed to facilitate the selection of biomedical ontologies is becoming a priority. In this paper we present BiOSS, a novel system for the selection of biomedical ontologies. BiOSS evaluates the adequacy of an ontology to a given domain according to three different criteria: (1) the extent to which the ontology covers the domain; (2) the semantic richness of the ontology in the domain; (3) the popularity of the ontology in the biomedical community. BiOSS has been applied to 5 representative problems of ontology selection. It also has been compared to existing methods and tools. Results are promising and show the usefulness of BiOSS to solve real-world ontology selection problems. BiOSS is openly available both as a web tool and a web service.Instituto de Salud Carlos III; FIS-PI10/02180Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; CN2012/217Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; CN2011/034Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; CN2012/211Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo; ref. 209RT036

Semantic Web 0 (0) 1 1 IOS Press ClioPatria: A SWI-Prolog Infrastructure for the Semantic Web

Abstract. ClioPatria is a comprehensive semantic web development framework based on SWI-Prolog. SWI-Prolog provides an efficient C-based main-memory RDF store that is designed to cooperate naturally and efficiently with Prolog, realizing a flexible RDF-based environment for rule based programming. ClioPatria extends this core with a SPARQL and LOD server, an extensible web frontend to manage the server, browse the data, query the data using SPARQL and Prolog and a Git-based plugin manager. The ability to query RDF using Prolog provides query composition and smooth integration with application logic. ClioPatria is primarily positioned as a prototyping platform for exploring novel ways of reasoning with RDF data. It has been used in several research projects in order to perform tasks such as data integration and enrichment and semantic search

Modelo de gestión para control de diabetes en el Ecuador utilizando tecnologías móviles.

Hoy en día, las enfermedades crónicas son cada vez más comunes debido a diversos factores, como pueden ser el estilo de vida vertiginoso de algunas ciudades, una pobre alimentación, el cuidado personal y factores medioambientales entre otros. Por ejemplo, la incidencia de la diabetes en la población ha ido en aumento de forma alarmante. La diabetes es una enfermedad que no mata por sí misma, pero detona otros problemas de salud que afectan la calidad de vida del paciente, y en determinados casos provocan una muerte prematura. Las personas con diabetes son muy propensas a desarrollar complicaciones, especialmente si no tienen un tratamiento adecuado de su enfermedad. El costo financiero que emplea el sector salud para controlar dichas complicaciones es muy alto. Las complicaciones de la diabetes generalmente se presentan de forma asintomática. Por otra parte, la gran mayoría de los estudios formales reportados en la literatura se centran en el análisis estadístico de la presencia de la enfermedad y las complicaciones que de ella derivan, como son la gestión de tratamientos, la necesidad de unidades médicas especializadas, los costos de hospitalización entre otros. Este proyecto pretende proporcionar un modelo para mejorar la auto-gestión de la salud por parte de los pacientes en enfermedades crónicas degenerativas como la diabetes. Así, tanto pacientes como centros médicos y hospitales podrán ahorrar costos y molestias en la prevención, monitorización y cuidado de esta enfermedad. Se propone construir un modelo de gestión integrado para la monitorización de distintos parámetros vitales, físicos y mentales como también las actividades físicas y mentales. Por otro lado, se podrán generar recomendaciones específicas al paciente. Además, este modelo permitirá definir los objetivos y acciones correspondientes para cumplir las recomendaciones realizadas

Quality framework for semantic interoperability in health informatics: definition and implementation

Aligned with the increased adoption of Electronic Health Record (EHR) systems, it is recognized that semantic interoperability provides benefits for promoting patient safety and continuity of care. This thesis proposes a framework of quality metrics and recommendations for developing semantic interoperability resources specially focused on clinical information models, which are defined as formal specifications of structure and semantics for representing EHR information for a specific domain or use case. This research started with an exploratory stage that performed a systematic literature review with an international survey about the clinical information modelling best practice and barriers. The results obtained were used to define a set of quality models that were validated through Delphi study methodologies and end user survey, and also compared with related quality standards in those areas that standardization bodies had a related work programme. According to the obtained research results, the defined framework is based in the following models: Development process quality model: evaluates the alignment with the best practice in clinical information modelling and defines metrics for evaluating the tools applied as part of this process. Product quality model: evaluates the semantic interoperability capabilities of clinical information models based on the defined meta-data, data elements and terminology bindings. Quality in use model: evaluates the suitability of adopting semantic interoperability resources by end users in their local projects and organisations. Finally, the quality in use model was implemented within the European Interoperability Asset register developed by the EXPAND project with the aim of applying this quality model in a broader scope to contain any relevant material for guiding the definition, development and implementation of interoperable eHealth systems in our continent. Several European projects already expressed interest in using the register, which will now be sustained by the European Institute for Innovation through Health Data