Juan Gómez-Romero

Juan Gómez-Romero
University of Granada | UGR · Department of Computer Science and Artificial Intelligence

PhD in Intelligent Systems

About

72
Publications
19,051
Reads
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1,297
Citations
Introduction
PhD in Intelligent Systems in the Approximate Reasoning and Artificial Intelligence research group of the University of Granada, led by Prof. Miguel Delgado. Currently, I am a research fellow at the Department of Computer Science and A.I. of the University of Granada. My research work focus on the application of Semantic Web, Information Fusion and Data Mining techniques to real-world problems: energy efficiency, security, context-aware systems, etc.
Additional affiliations
October 2013 - present
University of Granada
Position
  • Resarcher
September 2009 - October 2013
University Carlos III de Madrid
Position
  • Visiting Lecturer
Description
  • Research and teaching activities
November 2008 - August 2009
Universidad Carlos III de Madrid
Description
  • Postdoctoral researcher in project MADRINET.

Publications

Publications (72)
Article
Full-text available
Hydropower is among the most efficient technologies to produce renewable electrical energy. Hydropower systems present multiple advantages since they provide sustainable and controllable energy. However, hydropower plants’ effectiveness is affected by multiple factors such as river/reservoir inflows, temperature, electricity price, among others. Th...
Article
The enormous quantity of data handled by Building management systems are key to develop more efficient energy operational systems. However, the inability of current systems to take benefit from the generated data may waste good opportunities of improving building performance. Big Data appears as a suitable framework to sustain the management system...
Chapter
The computational simulation of physical phenomena is a highly complex and expensive process. Traditional simulation models, based on equations describing the behavior of the system, do not allow generating data in sufficient quantity and speed to predict its evolution and make decisions accordingly automatically. These features are particularly re...
Article
This paper presents a minimalistic reasoning algorithm to solve imprecise instance retrieval in fuzzy ontologies with application to querying Building Information Models (BIMs)—a knowledge representation formalism used in the construction industry. Our proposal is based on a novel lossless reduction of fuzzy to crisp reasoning tasks, which can be p...
Article
Studying food recipes is indispensable to understand the science of cooking. An essential problem in food computing is the adaptation of recipes to user needs and preferences. The main difficulty when adapting recipes is in determining ingredients relations, which are compound and hard to interpret. Word embedding models can catch the semantics of...
Chapter
This paper addresses the problem of mapping equivalent items between two databases based on their textual descriptions. Specifically, we will apply this technique to link the elements of two food composition databases by calculating the most likely match of each item in another given database. A number of experiments have been carried by employing...
Article
An important problem in Fuzzy OWL 2 ontology building is the definition of fuzzy membership functions for real-valued fuzzy sets (so-called fuzzy datatypes in Fuzzy OWL 2 terminology). In this paper, we present a tool, called Fudge, whose aim is to support the consensual creation of fuzzy datatypes by aggregating the specifications given by a group...
Article
Full-text available
Electrical generation in Ecuador mainly comes from hydroelectric and thermo-fossil sources, with the former amounting to almost half of the national production. Even though hydroelectric power sources are highly stable, there is a threat of droughts and floods affecting Ecuadorian water reservoirs and producing electrical faults, as highlighted by...
Article
Explosion in usage of social media has made its analysis a relevant topic of interest, and particularly so in the political science area. Within Data Science, no other techniques are more widely accepted and appealing than visualisation. However, with datasets growing in size, visualisation tools also require a paradigm shift to remain useful in bi...
Article
Full-text available
We investigated whether and how political misinformation is engineered using a dataset of four months worth of tweets related to the 2016 presidential election in the United States. The data contained tweets that achieved a significant level of exposure and was manually labelled into misinformation and regular information. We found that misinformat...
Article
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Despite the increasing capabilities of information technologies for data acquisition and processing, building energy management systems still require manual configuration and supervision to achieve optimal performance. Model predictive control (MPC) aims to leverage equipment control – particularly heating, ventilation and air conditioning (HVAC)–...
Article
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This paper introduces the concept of Comfort as a Service (CaaS), a new energy supply paradigm for providing comfort to residential customers. CaaS takes into account the available passive and active elements, the external factors that affect energy consumption and associated costs, and occupants’ behaviors to generate optimal control strategies fo...
Article
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Knowledge graphs are an increasingly important source of data and context information in Data Science. A first step in data analysis is data exploration, in which visualization plays a key role. Currently, Semantic Web technologies are prevalent for modeling and querying knowledge graphs; however, most visualization approaches in this area tend to...
Article
Full-text available
The energy consumption of residential and commercial buildings has risen steadily in recent years, an increase largely due to their HVAC systems. Expected energy loads, transportation, and storage as well as user behavior influence the quantity and quality of the energy consumed daily in buildings. However, technology is now available that can accu...
Article
Nowadays, data volume, distribution, and volatility make it difficult to search global patterns by applying traditional Data Mining techniques. In the case of data in a distributed environment, sometimes a local analysis of each dataset separately is adequate but some other times a global decision is needed by the analysis of the entire data. Assoc...
Article
Association rules have been widely used in many application areas to extract new and useful information expressed in a comprehensive way for decision makers from raw data. However, raw data may not always be available, it can be distributed in multiple datasets and therefore there resulting number of association rules to be inspected is overwhelmin...
Chapter
The availability of visual sensors and the increment of their processing capabilities have led to the development of a new generation of multi-camera systems. This increment has also conveyed new expectations and requirements that cannot be fulfilled by applying traditional fusion techniques. The ultimate objective of computer vision systems is to...
Article
The Building Information Model (BIM) has become a key tool to achieve communication during the whole building life-cycle. Open standards, such as the Industry Foundation Classes (IFC), have contributed to expand its adoption, but they have limited capabilities for cross-domain information integration and query. To address these challenges, the Link...
Article
Association rules have been widely used in many application areas to extract from raw data new and useful information expressed in a comprehensive way for decision makers. Nowadays, with the increase of the volume and the variety of data, the classical data mining workflow is showing insufficient. We can expect in the near future that, more often t...
Article
Full-text available
Harbor surveillance is a critical and challenging part of maritime security procedures. Building a surveillance picture to support decision makers in detection of potential threats requires the integration of data and information coming from heterogeneous sources. Context plays a key role in achieving this task by providing expectations, constraint...
Chapter
Classical ontologies are not suitable to represent imprecise or vague information, which has led to several extensions using non-classical logics. In particular, several fuzzy extensions have been proposed in the literature. In this paper, we present the fuzzy ontology reasoner DeLorean, the first to support a fuzzy extension of OWL 2. We discuss h...
Article
Full-text available
Recent advances in technologies for capturing video data have opened a vast amount of new application areas in visual sensor networks. Among them, the incorporation of light wave cameras on Ambient Intelligence (AmI) environments provides more accurate tracking capabilities for activity recognition. Although the performance of tracking algorithms h...
Article
Ambient Intelligence (AmI) aims at the development of computational systems that process data acquired by sensors embedded in the environment to support users in everyday tasks. Visual sensors, however, have been scarcely used in this kind of applications, even though they provide very valuable information about scene objects: position, speed, colo...
Article
Full-text available
Ontologies have succeeded as a knowledge representation formalism in many domains of application. Nevertheless, they are not suitable to represent vague or imprecise information. To overcome this limitation, several extensions to classical ontologies based on fuzzy logic have been proposed. Even though different fuzzy logics lead to fuzzy ontologie...
Conference Paper
Full-text available
Despite the undisputed success of ontologies, they are not appropriate to represent and reason with vague knowledge. WordNet, a widely used ontology for general/natural language tasks, presents some of these problems when it is applied to specialized discourse. In this paper, we propose to use fuzzy ontologies, which combine fuzzy logic theory and...
Article
Full-text available
Recent advances in technologies for capturing video data have opened a vast amount of new application areas. Among them, the incorporation of Time-of-Flight (ToF) cameras on Ambient Intelligence (AmI) environments. Although the performance of tracking algorithms have quickly improved, symbolic models used to represent the resulting knowledge have n...
Article
Today, there is a growing interest in the development of knowledge representations able to deal with uncertainty, which is a very common requirement in real world applications. Despite the undisputed success of ontologies, classical ontologies are not suitable to deal with uncertainty and, consequently, several extensions with fuzzy logic and rough...
Conference Paper
Concerns about the protection of the global transport network have risen the need of new security and surveillance systems. Ontology-based and fusion systems represent an attractive alternative for practical applications focused on fast and accurate responses. This paper presents an architecture based on a geometric model to efficiently predict and...
Article
Full-text available
Representation and reasoning with spatial proper-ties is essential in several application domains where ontologies are being successfully applied; e.g., Information Fusion systems. This requires a full characterization of the semantics of relations such as adjacent, included, overlapping, etc. Nevertheless, on-tologies are not expressive enough to...
Article
Current Computer Vision systems are expected to allow for the management of data acquired by physically distributed cameras. This is especially the case for modern surveillance systems, which require communication between components and a combination of their outputs in order to obtain a complete view of the scene. Information fusion techniques hav...
Conference Paper
Full-text available
Maritime surveillance involves gathering and integrating a large amount of heterogeneous information of variable quality to provide diverse decision makers with reliable knowledge about situations and threats. This requires information processing at all fusion levels while taking into account contextual information. Context is especially important...
Article
Computer vision research has been traditionally focused on the development of quantitative techniques to calculate the properties and relations of the entities appearing in a video sequence. Most object tracking methods are based on statistical methods, which often result inadequate to process complex scenarios. Recently, new techniques based on th...
Conference Paper
Ontologies are not only becoming a widespread formalism to create the knowledge base of current intelligent and semantic systems, but they are also suitable for modeling context information in ubiquitous applications, which require expressive representation and reasoning languages. In this paper, we discuss different approaches for ontological cont...
Article
Full-text available
Information fusion techniques combine data from multiple sensors, along with additional information and knowledge, to obtain better estimates of the observed scenario than could be achieved by the use of single sensors or information sources alone. According to the JDL fusion process model, high-level information fusion is concerned with the comput...
Conference Paper
Full-text available
Contextual Information is proving to be not only an additional exploitable information source for improving entity and situational estimates in certain Information Fusion systems, but can also be the entire focus of estimation for such systems as those directed to Ambient Intelligence (AI) and Context-Aware(CA) applications. This paper will discuss...
Conference Paper
EIA is a complex problem due to the wide range of different human impacts, the amount of different environmental indicators to measure the effect of an impact, and the correlation among them. In this paper we propose an application to support knowledge mobilization in Environmental Impact Assessment (EIA) based on a formal model to represent releva...
Conference Paper
Full-text available
Classical tracking methods are often insufficient when dealing with complex scenarios. In order to solve tracking errors, innovative techniques based on the use of information about the context of the scene have been proposed. Context information ranges from precise measures computed on the pixels of the object neighborhood to high level representa...
Conference Paper
Full-text available
Context knowledge is essential to achieve successful information fusion, especially at high JDL levels. Context can be used to interpret the perceived situation, which is required for accurate assessment. Both types of knowledge, contextual and perceptual, can be represented with formal languages such as ontologies, which support the creation of re...
Article
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. Fuzzy Description Logics were born to represent the former type of knowledge, but they require an appropriate fuzzy language to be agreed on and an important number of available resources to be adapted. This paper faces these problems by presenting a r...
Conference Paper
Current video surveillance systems are expected to allow for management of video sequences recorded by distributed cameras. In order to obtain a complete view of the scene, it is necessary to apply data fusion techniques to the acquired data. This increases the need of communicating various and probably heterogeneous components in a vision system....
Article
Classical ontologies are not suitable to represent vague pieces of information, which has lead to the birth of Fuzzy Description Logics as an appropriate formalism to represent this type of knowledge. Different families of fuzzy operators lead to Fuzzy Description Logics with different properties. This paper studies Fuzzy Description Logics under a...
Article
Balanced scorecard is a widely recognized tool to support decision making in business management. Unfortunately, current balanced scorecard-based systems present two drawbacks: they do not allow to define explicitly the semantics of the underlying knowledge and they are not able to deal with imprecision and vagueness. To overcome these limitations,...
Article
Most of current Information and Knowledge Based Systems manage impressive amounts of information, ranging from local databases to resources imported from the web. In addition to widely pointed-out integration and maintenance difficulties, other common problem is overwhelming of users with much more information than the strictly necessary for fulfil...
Conference Paper
Full-text available
Information overload is a common problem in current In-formation and Knowledge Based Systems. The Web, being the largest public available information source, is particularly affected by this issue, so several approaches to deal with it are being developed by Semantic Web researchers. Most of them are based on using context knowledge to delimit whic...
Conference Paper
Full-text available
Classical ontologies are not suitable to represent imprecise or vague pieces of information, which has led to fuzzy extensions of Description Logics. In order to support an early acceptance of the OWL 1.1 ontology language, we present DeLorean, the first reasoner that supports a fuzzy extension of the Description Logic SROIQ, closely equivalent to...
Article
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. Fuzzy Description Logics were born to manage the former type of knowledge, but they require an appropriate fuzzy language to be agreed and an important number of available resources to be adapted. This paper faces these problems by presenting a reasoni...
Conference Paper
Full-text available
Design patterns are widely-used software engineering ab- stractions which define guidelines for modeling common application sce- narios. Ontology design patterns are the extension of software patterns for knowledge acquisition in the Semantic Web. In this work we present a design pattern for representing relevance depending on context in OWL ontolo...
Conference Paper
Full-text available
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. Fuzzy Description Logics were born to represent the former type of knowledge, but they require an appropri- ate fuzzy language to be agreed and an important number of available resources to be adapted. This paper faces these problems by presenting a re...
Conference Paper
Full-text available
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. As a solution we will combine fuzzy Description Logics with a possibilistic layer. Then, we will show how to perform reasoning by relying on classical existing reasoners.
Conference Paper
Full-text available
Fuzzy Description Logics are a family of logics which allow the representation of (and the reasoning within) structured knowledge aected by uncertainty and vagueness. They were born to overcome the limitations of classical Description Logics when dealing with such kind of knowledge, but they bring out some new challenges, requiring an ap- propriate...
Article
Nowadays any Knowledge Based System (KBS) realization needs of intercommunication among distributed components and to use non-connected and distributed data sources, which poses several challenges to the classical Artificial Intelligence field of KBS.The multiagent paradigm and the use of ontologies are considered to be suitable tools to face the p...
Article
Full-text available
Resumen La movilidad se ha convertido en una necesidad fundamental que deben satisfacer los Sistemas Basados en Conocimiento actuales. Durante el proceso de toma de decisiones es esencial que los usuarios dispongan de toda aquella informa-ción relevante que pueda influir en el resultado final, sea cual sea el momento y el lugar en que éste tenga lu...
Article
Nowadays remote and ubiquitous access to data and applications is an essential need in business environments which poses several challenges to software developers. A Service Oriented Architecture, implemented as a set of interoperating Web Services relying in standard Web protocols, is a solution to these problems which is supported by the majority...
Article
Full-text available
Tesis Univ. Granada. Departamento de Ciencias de la Computación e Inteligencia Artificial. Leída el 17 de julio de 2008

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