Semantic technologies for supporting KDD processes

209 p.Achieving a comfortable thermal situation within buildings with an efficient use of energy remains still an open challenge for most buildings. In this regard, IoT (Internet of Things) and KDD (Knowledge Discovery in Databases) processes may be combined to solve these problems, even though data analysts may feel overwhelmed by heterogeneity and volume of the data to be considered. Data analysts could benefit from an application assistant that supports them throughout the KDD process. This research work aims at supporting data analysts through the different KDD phases towards the achievement of energy efficiency and thermal comfort in tertiary buildings. To do so, the EEPSA (Energy Efficiency Prediction Semantic Assistant) is proposed, which aids data analysts discovering the most relevant variables for the matter at hand, and informs them about relationships among relevant data. This assistant leverages Semantic Technologies such as ontologies, ontology-driven rules and ontology-driven data access. More specifically, the EEPSA ontology is the cornerstone of the assistant. This ontology is developed on top of three ODPs (Ontology Design Patterns) and it is designed so that its customization to address similar problems in different types of buildings can be approached methodically

Desarrollo de servicios para vigilancia tecnológica

[EN]If a frog is placed in boiling water, it will jump out; but if it is placed in cold water that is slowly heated, it will not perceive the danger and will be cooked to death. Without de ability to observe changing environmental conditions, the frog can find itself boiled alive before realizing it is in trouble. This is known as the boiling frog syndrome. In the same manner, it is impossible to be competitive without knowing and being aware of the environmental changes. From here comes the necessity for the Technological Watch and Competitive Intelligence. The main goals of this project are to evaluate the current Technological Vigilance System of the IK4-Tekniker research center and to develop services that help in improving the system. For that purpose, first of all the Technological Vigilance is going to be placed in the business field and its origins are going to be explained. Following that, the Technological Vigilance system of IK4-Tekniker is going to be analyzed for its evaluation. Finally the creation of the services previously mentioned are going to be described in detail, showing the technologies and tools used for that purpose like the Responsive Web Design.[ES]Si se coloca una rana en una cazuela con agua hirviendo, la rana inmediatamente saltará y escapará. Pero si la rana se coloca en agua fría que lentamente va calentándose, no percibirá el peligro y se cocerá hasta la muerte. Careciendo de la habilidad para observar los cambios del entorno, la rana es hervida viva antes de darse cuenta de que está en problemas. A esto se le conoce como el síndrome de la rana hervida. De igual manera, es imposible ser competitivo sin ver y entender el entorno en el que vivimos y sus cambios, y de ahí nace la necesidad de la Vigilancia Tecnológica e Inteligencia Competitiva. El objetivo principal de este proyecto es, por un lado evaluar el actual Sistema de Vigilancia Tecnológica del centro tecnológico IK4-Tekniker y por el otro, desarrollar servicios que ayuden a mejorar el sistema. Para ello, antes de nada se presenta la Vigilancia Tecnológica en el ámbito empresarial y se muestran sus antecedentes. A continuación se analiza el Sistema de Vigilancia Tecnológica implantado en IK4-Tekniker para su posterior valoración. Finalmente se detalla la creación de los servicios antes mencionados, mostrando las tecnologías y herramientas utilizadas para ello como por ejemplo el Responsive Web Design

Semantic technologies for supporting KDD processes

209 p.Achieving a comfortable thermal situation within buildings with an efficient use of energy remains still an open challenge for most buildings. In this regard, IoT (Internet of Things) and KDD (Knowledge Discovery in Databases) processes may be combined to solve these problems, even though data analysts may feel overwhelmed by heterogeneity and volume of the data to be considered. Data analysts could benefit from an application assistant that supports them throughout the KDD process. This research work aims at supporting data analysts through the different KDD phases towards the achievement of energy efficiency and thermal comfort in tertiary buildings. To do so, the EEPSA (Energy Efficiency Prediction Semantic Assistant) is proposed, which aids data analysts discovering the most relevant variables for the matter at hand, and informs them about relationships among relevant data. This assistant leverages Semantic Technologies such as ontologies, ontology-driven rules and ontology-driven data access. More specifically, the EEPSA ontology is the cornerstone of the assistant. This ontology is developed on top of three ODPs (Ontology Design Patterns) and it is designed so that its customization to address similar problems in different types of buildings can be approached methodically