Listar por autoría "b98f5be0-c3f9-418c-95d0-ac4914f14950"
Mostrando ítems 1-20 de 53
-
A clustering-based Approach for Unsupervised Word Sense Disambiguation
Berlanga Llavori, Rafael; Martín Wanton, Tamara Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN) (2012)Los métodos de agrupamiento han sido ampliamente usados en muchas tareas de Procesamiento de la Información con el fin de capturar categorías de objetos desconocidos. Sin embargo, el agrupamiento ha sido poco utilizado ... -
A Data Quality Multidimensional Model for Social Media Analysis
Aramburu Cabo, María José; Berlanga Llavori, Rafael; Lanza Cruz, Indira Lázara Springer (2023-11-10)Social media platforms have become a new source of useful information for companies. Ensuring the business value of social media first requires an analysis of the quality of the relevant data and then the development of ... -
A document clustering algorithm for discovering and describing topics
Anaya Sánchez, Henry; Pons Porrata, Aurora; Berlanga Llavori, Rafael Elsevier (2010)In this paper, we introduce a new clustering algorithm for discovering and describing the topics comprised in a text collection. Our proposal relies on both the most probable term pairs generated from the collection and ... -
A framework for obtaining structurally complex condensed representations of document sets in the biomedical domain
Berlanga Llavori, Rafael; Ramírez Cruz, Yunior; Gil García, Reynaldo Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN) (2012)En este art culo presentamos un marco para la obtenci on de representa- ciones condensadas estructuralmente complejas de conjuntos de documentos, el cual servir a de base para la construcci on de res umenes, la obtenci ... -
A relevance model for a data warehouse contextualized with documents
Pérez Martínez, Juan Manuel; Berlanga Llavori, Rafael; Aramburu Cabo, María José Elsevier (2009)This paper presents a relevance model to rank the facts of a data warehouse that are described in a set of documents retrieved with an information retrieval (IR) query. The model is based in language modeling and relevance ... -
A semantic approach for the requirement-driven discovery of web resources in the Life Sciences
Pérez Catalán, María; Berlanga Llavori, Rafael; Sanz, Ismael; Aramburu Cabo, María José Springer-Verlag (2013-03)Research in the Life Sciences depends on the integration of large, dis- tributed and heterogeneous web resources (e.g. data sources and web services). The discovery of which of these resources are the most appropriate ... -
Apuntes de Simulación Informática ( curso 2009-2010)
Berlanga Llavori, Rafael Universitat Jaume I (2010) -
Assessment of disease named entity recognition on a corupus of annotated sentences
Jiménez Ruiz, Ernesto; Jimeno Yepes, Antonio José; Lee, Vivian; Gaudan, Sylvain; Berlanga Llavori, Rafael; Rebholz-Schuhmann, Dietrich BioMed Central (2008)Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and gene ontology terms (GO terms). Other ... -
BioUSeR: a semantic-based tool for retrieving Life Science web resources driven by text-rich user requirements
Pérez Catalán, María; Berlanga Llavori, Rafael; Sanz, Ismael; Aramburu Cabo, María José BioMed Central (2013)Background: OpenmetadataregistriesareafundamentaltoolforresearchersintheLifeSciencestryingtolocate resources. While most current registries assume that resources are annotated with well-structured metadata, evidence shows ... -
Building Data Warehouses with Semantic Web Data
Nebot Romero, Victoria; Berlanga Llavori, Rafael Elsevier (2012)The Semantic Web (SW) deployment is now a realization and the amount of semantic annotations is ever increasing thanks to several initiatives that promote a change in the current Web towards the Web of Data, where the ... -
Combining Probabilistic Language Models for Aspect-Based Sentiment Retrieval
García Moya, Lisette; Anaya Sánchez, Henry; Berlanga Llavori, Rafael Springer Berlin Heidelberg (2012)In this paper, we present a new methodology aimed at retrieving relevant product aspects from a collection of customer reviews, as well as the most salient sentiments expressed about them. Our proposal is both unsupervised ... -
Contextualizing data warehouses with documents
Pérez Martínez, Juan Manuel; Berlanga Llavori, Rafael; Aramburu Cabo, María José; Pedersen, Torben Bach Elsevier (2008)Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich ... -
Defining Dynamic Indicators for Social Network Analysis: A Case Study in the Automotive Domain using Twiter
Lanza Cruz, Indira Lázara; Berlanga Llavori, Rafael SciTePress (2018-09-18)In this paper we present a framework based on Linked Open Data Infrastructures to perform analysis tasks in social networks based on dynamically defined indicators. Based on the typical stages of business intelligence ... -
Designing Chest X-ray Datasets for Improving Lung Nodules Detection through Convolutional Neural Networks
Aceñero Eixarch, Raúl Pedro; Díaz-Usechi Laplaza, Raúl; Berlanga Llavori, Rafael IOS Press (2021)In this paper, we propose a method for building alternative training datasets for lung nodule detection from plain chest X-ray images. Our aim is to improve the classification quality of a state-of-the-art CNN by just ... -
Designing Similarity Measures for XML
Sanz, Ismael; Pérez Catalán, María; Berlanga Llavori, Rafael Springer Verlag (2008)In this demonstration we will show a series of tools that support a methodology [1] for the design of complex similarity functions in the context of heterogenous XML systems. -
Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning
Arafet Cruz, Kemel; Berlanga Llavori, Rafael MDPI (2021-05-18)The generation of electricity through renewable energy sources increases every day, with solar energy being one of the fastest-growing. The emergence of information technologies such as Digital Twins (DT) in the field of ... -
Dynamic SLOD-BI: Infraestructura Dinamica de Inteligencia de Negocio Social
Berlanga Llavori, Rafael; Aramburu Cabo, María José; Lanza Cruz, Indira Lázara; Llidó Escrivá, Dolores María; Museros, Lledó; Sanz, Ismael SISTEDES (Sociedad de Ingeniería del Software y Tecnologías de Desarrollo de Software) (2018-09-17)Este proyecto plantea nuevas perspectivas de analisis y nuevasextensiones en la funcionalidad de la infraestructura de datos desarrolladaen el proyecto SLOD-BI (Social Linked Open Data for BusinessIntelligence). SLOD-BI ... -
Efficient retrieval of ontology fragments using an interval labeling scheme
Nebot Romero, Victoria; Berlanga Llavori, Rafael Elsevier (2009)Nowadays very large domain ontologies are being developed in life-science areas like Biomedicine, Agronomy, Astronomy, etc. Users and applications can benefit enormously from these ontologies in very different tasks, such ... -
Exploiting semantic annotations for open information extraction: an experience in the biomedical domain
Nebot Romero, Victoria; Berlanga Llavori, Rafael Springer (2014)The increasing amount of unstructured text published on the Web is demanding new tools and methods to automatically process and extract relevant information. Traditional information extraction has focused on harvesting ... -
Exploring and linking biomedical resources through multidimensional semantic spaces
Berlanga Llavori, Rafael; Nebot Romero, Victoria; Jiménez Ruiz, Ernesto Springer (2012-01)Background The semantic integration of biomedical resources is still a challenging issue which is required for effective information processing and data analysis. The availability of comprehensive knowledge resources such ...