José A. Olivas

José A. Olivas
University of Castilla-La Mancha · Department of Information Technologies and Systems

PhD

About

201
Publications
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1,303
Citations

Publications

Publications (201)
Article
Full-text available
Online opinions/reviews contain a lot of sentiments and emotions that can be very useful, especially, for Internet suppliers which can know whether their services/products are meeting their customers’ expectations or not. To detect these sentiments and emotions, most applications resort to lexicon-based approaches. The major issue here is that most...
Article
Introduction Most hospital assessment systems are based on the study of objective statistical variables as well as patient opinions on their experiences with respect to the services offered by each hospital. Nevertheless, studies have indicated that most of these assessment systems fail to detect patient emotions when they are assessing their stays...
Article
Full-text available
The overall rating of an opinion can generally be considered as the aggregation of the individual ratings of all features of that opinion. Nevertheless, there are cases in which the overall rating differs substantially from the mean or weighted mean of the ratings of the individual features. These cases can be explained in terms of user mood. To ad...
Chapter
Full-text available
There is currently a growing interest in evaluating the performance of individual sports teams. These measurement frameworks are based on the opinion of various experts who do not always agree with the importance of the selected indicators. In this work, it is proposed to use methods of treatment of subjectivity and ambiguity based on fuzzy logic t...
Article
Full-text available
La detección de emociones es una tarea del análisis de sentimientos que trata la extracción y el análisis de las emociones en textos. Reconocer emociones implícitas es uno de los principales desafíos en enfoques basados en palabras claves o lexicones. Este trabajo presenta un enfoque híbrido de detección de emociones, que combina la selección de ca...
Article
Full-text available
The process to assess a hospital performance usually needs the interaction of a lot of experts and patients and is very costly and time-consuming. Nevertheless, the availability of patient opinions on the Internet offers a great opportunity to develop systems that evaluate hospitals based on user feedback. The content of these opinions is very chal...
Article
Full-text available
The number of satellites and debris in space is dangerously increasing through the years. For that reason, it is mandatory to design techniques to approach the position of a given object at a given time. In this paper, we present a system to do so based on a database of satellite positions according to their coordinates (x,y,z) for one month. We ha...
Article
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely available user-generated information. Within this information, it is easy to find subjective texts, especially on social networks and eCommerce platforms that contain valuable information about users. Consequently, the field of opinion mining has attracted consid...
Article
Automatic keyphrase extraction from texts is useful for many computational systems in the fields of natural language processing and text mining. Although a number of solutions to this problem have been described, semantic analysis is one of the least exploited linguistic features in the most widely-known proposals, causing the results obtained to h...
Article
Online reviews have a significant impact on the decisions of consumers, providing valuable information which must be managed from two different perspectives: that of the user who reads the review and the people who gave those opinions. These two perspectives are the basis of the novel fuzzy aspect-based sentiment analysis approach described in this...
Conference Paper
Full-text available
Based on previous experience in prediction systems with Fuzzy Deformable Prototypes, improvement in their functioning and deformation capacity is necessary, a new idea/concept for this is proposed. We propose a system with artificial intelligence that is capable of characterizing new situations, within the context of a PhD. thesis, capable of recog...
Conference Paper
Full-text available
Due to the ease of generating and storing written text documents, Natural Language Processing tools are increasingly integrated into software products on decision making in various fields. In this paper, we work with real requests from customers of a real estate company. The objective of the paper is to design a preliminary approximation of new int...
Preprint
Full-text available
Causality has traditionally been a scientific way to generate knowledge by relating causes to effects. From an imaginery point of view, causal graphs are a helpful tool for representing and infering new causal information. In previous works, we have generated automatically causal graphs associated to a given concept by analyzing sets of documents a...
Article
Background: The amount of information available about millions of different subjects is growing every day. This has led to the birth of new search tools specialized in different domains, because classical information retrieval models have trouble dealing with the special characteristics of some of these domains. Evidence-based Medicine is a case o...
Chapter
It is a truism that time has a high relevance in medicine. The prescription of several medicines to a patient usually must satisfy timing intervals according to their composition. An incorrect administration can lead to severe consequences to the patient or in the best of the cases lower the effect of other drugs. In this paper we want to provide a...
Article
Full-text available
The evaluation of the players’ performance in sports teams is commonly based on the opinion of experts who do not always agree on the importance of the chosen indicators. This paper presents a novel approach based on fuzzy multi-criteria group decision-making tools for selecting those criteria that best represent the handball player’s performance i...
Article
Full-text available
The automatic keyphrases extraction from texts is a useful task for many computational systems in the natural language processing and text mining fields. Although several solutions to this problem have been developed, the semantic analysis has been one of the linguistic features less exploited in the most reported proposal, causing that the obtaine...
Article
In the field of data analysis, it is common not to distinguish clearly between prediction and forecast. Although the results of both processes may tend to converge, the mechanisms used in each case tend to be completely different. Prediction has to do with statistical extrapolation and estimation and forecasting can consider expert judgments on the...
Article
Online services such as Amazon, Tripadvisor, Ebay, etc., allow users to express sentiments about different products or services. Not only that, in some cases it is also possible to express sentiments about the different features characterizing those products or services. Most users express sentiments about individual features by using numerical val...
Article
Full-text available
La generación automática de resúmenes consiste en sintetizar en un texto corto la información más relevante contenida en documentos, y permite reducir los problemas generados por la sobrecarga de información. En este trabajo se presenta un método no supervisado de generación de resúmenes extractivos a partir de múltiples documentos. En esta propues...
Chapter
The aim of this paper is to present a methodology for creating expert systems by processing texts in order to respond to the queries of a question answering system. In previous work, we have shown several algorithms that were able to extract causal information from text documents and to summarize it. These approaches extracted knowledge from unstru...
Chapter
The cryptocurrencies are a new paradigm of transferring money between users. Their anonymous and non-centralized is a subject of debate around the globe that paired with the massive spikes and declines in value that are inherit to an unregistered asset. These facts make difficult for the common daily use of the cryptocurrencies as an exchange curre...
Preprint
Full-text available
Automatic text summarization tools have a great impact on many fields, such as medicine, law, and scientific research in general. As information overload increases, automatic summaries allow handling the growing volume of documents, usually by assigning weights to the extracted phrases based on their significance in the expected summary. Obtaining...
Article
Full-text available
Automatic text summarization tools have a great impact on many fields, such as medicine, law, and scientific research in general. As information overload increases, automatic summaries allow handling the growing volume of documents, usually by assigning weights to the extracted phrases based on their significance in the expected summary. Obtaining...
Chapter
Full-text available
Text summarization is becoming an indispensable solution for dealing with the exponential growth of textual and unstructured information in digital format. In this paper, an unsupervised method for extractive multi-document summarization is presented. This method combines the use of a semantic graph for representing textual contents and identify th...
Chapter
Full-text available
Ontologies have emerged as an important component in Information Systems and, specifically, in Geographic Information Systems, where they play a key role. However, the creation and maintenance of geographic ontologies can become an exhausting work due to the rapid growth and availability of spatial data, which are provided through relational databa...
Article
Full-text available
Due to the ease of generating and storing written text documents, Natural Language Processing tools are increasingly integrated into software products on decision making in various fields. In this paper, we work with real requests from customers of a real estate company. The objective of the paper is to design a preliminary approximation of new int...
Chapter
For the ideal functioning of an intelligent tutoring system it is essential to be able to estimate the level of skill of the students according to complex learning objectives. We propose an architecture for the evaluation of the student’s skill level, based on the multi-attribute utility theory, using as aggregation operator the Choquet integral. T...
Conference Paper
For the ideal functioning of an intelligent tutoring system it is essential to be able to estimate the level of skill of the students according to complex learning objectives. We propose an architecture for the evaluation of the student’s skill level, based on the multi-attribute utility theory, using as aggregation operator the Choquet integral. T...
Chapter
Full-text available
RLa obtención de información relevante y conocimiento en textos aún constituye un gran desafío. En este trabajo, se presenta un enfoque de análisis de textos basado en grafos, soportado en el procesamiento semántico difuso del contenido. En esta propuesta se combinan procesos de consultas sobre los grafos obtenidos de los textos, la recomendación d...
Chapter
Full-text available
The automatic keyphrases extraction is a useful task for many computational applications in the natural language processing and text mining fields. Several solutions to this problem have been reported, but the obtained results still show low rates of accuracy and performance. In this paper, a new unsupervised method for keyphrase extraction from te...
Chapter
Full-text available
For years, and nowadays even more because of the ease of access to information, countless scientific documents that cover all branches of human knowledge are generated. These documents, consisting mostly of text, are stored in digital libraries that are increasingly consenting access and manipulation. This has allowed these repositories of document...
Article
Causal sentences are a main part of the medical explanations, providing the causes of diseases or showing the effects of medical treatments. In medicine, causal association is frequently related to time restrictions. So, some drugs must be taken before or after meals, being ‘after’ and ‘before’ temporary constraints. Thus, we conjecture that medica...
Conference Paper
Causal sentences are a main part of the medical explanations, providing the causes of diseases or showing the effects of medical treatments. In medicine, causal association is frequently related to time restrictions. So, some drugs must be taken before or after meals, being ‘after’ and ‘before’ temporary constraints. Thus, we conjecture that freque...
Article
Full-text available
In this paper, an approach of a personalized information retrieval model based on the semantic processing of the content is proposed. The proposed model reduces the unnecessary information overload for users and improves the retrieval results through combining a content semantic processing applied to the queries and indexed documents, and informati...
Chapter
Full-text available
In this paper, an approach of a personalized information retrieval model based on the semantic processing of the content is proposed. The proposed model reduces the unnecessary information overload for users and improves the retrieval results through combining a content semantic processing applied to the queries and indexed documents, and informati...
Article
Introduction: The incidence of tick-borne diseases (TBDs) is growing worldwide, and vaccines appear as the most effective and environmentally sound intervention for the prevention and control of TBDs. Areas covered: The vaccinomics approach combines omics technologies and bioinformatics for the characterization of tick-host-pathogen molecular inter...
Article
Full-text available
La web ha crecido exponencialmente en los últimos años. Una característica de los buscadores es que para una misma consulta hecha por dos usuarios diferentes devuelve los mismos resultados, por lo que la necesidad de personalizar los resultados de búsqueda se ha hecho cada vez más necesario. En este artículo se presenta una revisión de Modelos de P...
Article
Full-text available
Web search engines help users find specific information within the large amount of information resources available on the Web. A feature of web search engines is that for the same query made by two different users, they show the same results, so the need to customize search results has become increasingly necessary. This article presents a review o...
Chapter
In this homage to Prof. Moraga, firstly a short introduction and definition of Fuzzy Deformable Prototypes, introduced by the author in 2000, referring some of the most interesting applications of this concept, mainly concerning prediction systems is presented. Then, there is a short introduction to interval fuzzy sets with the aim of showing some...
Conference Paper
Full-text available
This paper presents an approach for the linguistic description of time series based related to human behaviour based on Fuzzy Deformable Prototypes. The main purpose is to create a complex behaviour model that allows to offer recommendations regarding the current situation and predictions. It is also presented a case of study based on data captured...
Article
Full-text available
La extracción automática de frases relevantes constituye una tarea de gran importancia para muchas soluciones computacionales en el área del procesamiento de lenguaje natural y la minería de texto. En este trabajo se propone un nuevo método no supervisado para la extracción de frases relevantes en textos, en el cual se combina el uso de patrones lé...
Article
The objective of this work is to propose a complete system able to extract causal sentences from a set of text documents, select the causal sentences contained, create a causal graph in base to a given concept using as source these causal sentences, and finally produce a text summary gathering all the information connected by means of this causal g...
Article
Decision support systems, embedded in modern telemedicine applications, are a tool to improve the skills of general practitioners and patients in decision-making in medicine. Nowadays, one of the more challenging problems in this context is how to diagnose those diseases, whose early clinical signs are often subtle, and many of their common signs a...
Article
Nowadays, tutoring systems, as well learning content management systems, are widely used in different education environments thanks to their great versatility. Therefore, the challenge of analyzing the large volumes of data generated by them has emerged. In this paper, fuzzy logic techniques are used to predict the students’ academic performance in...
Conference Paper
The application of smart programs and services in the medical field is nowadays a reality that guarantees patients a quality healthcare. In the present article, it is proposed the development of a Clinical Decision Support System (CDSS) in order to diagnose a set of "fuzzy diseases".This concept refers to the diseases that are not diagnosable throu...
Article
Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied research fields. It aims to analyze people’s sentiments, opinions, attitudes, emotions, etc., towards elements such as topics, products, individuals, organizations, and services. Different techniques and software tools are being developed to carry out Sentimen...
Article
In this work, a short introduction and definition of Fuzzy Deformable Prototypes, introduced by the author in 2000, is presented. Then, the first application of this model, a system for prediction and prevention of Forest Fires, is briefly described, trying to show its main characteristics and how the Fuzzy Deformable Prototypes can improve the res...
Article
I had the pleasure of meeting Prof. Trillas in an informative talk at Santiago de Compostela, organized by Prof. Alejandro Sobrino in the late eighties. We started an academic and scientific relationship, and he was my Ph. D. advisor, finishing in the year 2000 [2]. He guided me for introducing the Fuzzy Deformable Prototypes (from now on FDPs), wh...
Chapter
The aim of this paper is to introduce a system able to configure an automatic answer from a proposed question and summarize information from a causal graph. This procedure has three main steps. The first one is focused in the extraction, filtering and selection of those causal sentences that could have relevant information for the system. The secon...
Article
Full-text available
En este trabajo se propone un método que utiliza un corpus de mapas conceptuales para recuperar del mismo los conceptos similares a un concepto en específico, que se basa en la aplicación de un algoritmo de comparación entre grafos, y de otro de similitud entre mapas conceptuales. Este método se propone como solución para el tratamiento de la ambig...
Conference Paper
This paper shows a fuzzy ontology based approach to automatically build user profiles from a collection of user interest documents. The ontological representation of the user profile enhances the performance in tasks such as filtering, categorization and information retrieval. The proposed technique takes advantage of relevance measures to generate...
Article
The aim of this paper is to approach causal questions in medical documents eventually recovered from a search engine. Causal questions par excellence are what, how and why-questions. The ‘pyramid of questions’ shows this. At the top, why-questions are the prototype of causal questions. Usually why-questions are related to scientific explanations. A...
Article
The concept of competence is acquiring relevance as core element of educational systems and consequently importance in the job market. Therefore, teachers must prepare educational activities designed to exercise a set of competences that each student needs to obtain. These activities should be recommended to each student according to their strength...
Chapter
Full-text available
In this paper, an extended method for ontology learning from concept maps is presented. Concept maps are a flexible and informal knowledge representation, while ontologies are semantically formalized representations oriented to be processing by intelligent systems. The mapping between them is a formal transformation based on semantics inference in...
Conference Paper
The aim of this paper is to introduce a set of algorithms able to configure an automatic answer from a proposed question. This procedure has two main steps. The first one is focused in the extraction, filtering and selection of those causal sentences that could have relevant information for the answer. The second one is focused in the composition o...
Article
Full-text available
Soft Computing (SC) tools present a great potential in real-life problems related with engineering, industrial applications, medicine, finances, etc. In this special issue we present a set of seven papers that report original research about the use of SC techniques to solve the problems in the field of information access on the Web.
Conference Paper
Web based decision aids, embedded in modern telemedicine systems, are a tool to improve the skills of general practitioners and patients in sharing decision making. The aim of this paper is to present a new method based on data quality and fuzzy prototypes to provide a better and improved knowledge management framework for web-based decision aids....
Conference Paper
The aim of this paper is to introduce a set of procedures capable of produce a text summary from a causal graph. In previous works we have presented several algorithms to extract causal information from text documents by means of a semi-automatic process. As result we obtained a causal graph connecting concepts related to a given topic. In this pap...
Conference Paper
The aim of this paper is to introduce procedure capable of compressing the representation of causal graphs, removing the redundant information introduced. In previous works we have presented several algorithms to extract causal information from text documents by means of a semi-automatic process. As result we obtained a causal graph connecting conc...
Conference Paper
Although the topic of atmospheric aerosols is not a well known by general population and it is only well know by experts, their effects could increase the consequences of climate change Moreover, the mechanisms of atmospheric aerosol formation and their evolution are not well established nowadays. An application of Zadeh's prototype theory in the k...