Listar por autoría "b98f5be0-c3f9-418c-95d0-ac4914f14950"
Mostrando ítems 21-40 de 54
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Finding association rules in semantic web data
Nebot Romero, Victoria; Berlanga Llavori, Rafael Elsevier (2012-02)The amount of ontologies and semantic annotations available on the Web is constantly growing. This new type of complex and heterogeneous graph-structured data raises new challenges for the data mining community. In this ... -
Fragment-based approximate retrieval in highly heterogeneous XML collections
Sanz, Ismael; Mesiti, Marco; Guerrini, G.; Berlanga Llavori, Rafael Elsevier (2008)Due to the heterogeneous nature of XML data for internet applications exact matching of queries is often inadequate. The need arises to quickly identify subtrees of XML documents in a collection that are similar to a given ... -
Generating complex ontology instances from documents
Danger, Roxana; Berlanga Llavori, Rafael Elsevier (2009)This paper presents a novel Information Extraction system able to generate complex instances from free text available on the Web. The approach is based on a non-monotonical processing over ontologies, and makes use of ... -
In the pursuit of a semantic similarity metric based on UMLS annotations for articles in PubMed Central
García Castro, Leyla Jael; Berlanga Llavori, Rafael; Garcia, Alexander Elsevier (2015-10)Motivation Although full-text articles are provided by the publishers in electronic formats, it remains a challenge to find related work beyond the title and abstract context. Identifying related articles based on their ... -
Integrating data warehouses with web data : a survey
Pérez Martínez, Juan Manuel; Berlanga Llavori, Rafael; Aramburu Cabo, María José; Pedersen, Torben Bach IEEE Computer Society (2008)This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data. It studies the XML technologies that are currently being used to integrate, store, query, and retrieve Web data and their ... -
Knowledge based word-concept model estimation and refinement for biomedical text mining
Jimeno Yepes, Antonio José; Berlanga Llavori, Rafael Copyright © 2014 Elsevier Inc. (2014-12)Text mining of scientific literature has been essential for setting up large public biomedical databases, which are being widely used by the research community. In the biomedical domain, the existence of a large number of ... -
Learning a statistical model of product aspects for sentiment analysis
García Moya, Lisette; Berlanga Llavori, Rafael; Anaya Sánchez, Henry Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN) (2012)En este art culo se introduce una nueva metodolog a para modelar ca- racter sticas de productos a partir de una colecci on de opiniones de usuarios. La metodolog a propuesta se basa en modelos estad sticos de lenguajes ... -
Learning Cognitive-Affective Digital Twins from Social Networks
Navarro, Andrea; Berlanga Llavori, Rafael; Museros, Lledó IOS Press (2021-10)This paper presents an ongoing project about the implementation of digital twins (DT) for simulating cognitive-affective behaviours in social networks. Our approach relies on a pure data-driven solution, which takes ... -
Logic-based assessment of the compatibility of UMLS ontology sources
Jiménez Ruiz, Ernesto; Cuenca Grau, Bernardo; Horrocks, Ian; Berlanga Llavori, Rafael BioMed Central (2011-03-07)Background: The UMLS Metathesaurus (UMLS-Meta) is currently the most comprehensive effort for integrating independently-developed medical thesauri and ontologies. UMLS-Meta is being used in many applications, including ... -
Modeling Analytical Streams for Social Business Intelligence
Lanza Cruz, Indira Lázara; Berlanga Llavori, Rafael; Aramburu Cabo, María José MDPI (2018-08)Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks. Contrary to traditional Business Intelligence (BI), SBI has to face the high dynamicity of both the social ... -
Multidimensional Author Profling for Social Business Intelligence
Lanza Cruz, Indira Lázara; Berlanga Llavori, Rafael; Aramburu Cabo, María José Springer (2023)This paper presents a novel author profling method specially aimed at classifying social network users into the multidimensional perspectives for social business intelligence (SBI) applications. In this scenario, being the ... -
Multidimensional integrated ontologies: a framework for designing semantic data warehouses
Nebot Romero, Victoria; Berlanga Llavori, Rafael; Pérez Martínez, Juan Manuel; Aramburu Cabo, María José; Pedersen, Torben Bach Springer Verlag (Germany) (2009)The Semantic Web enables companies and organizations to gather huge amounts of valuable semantically annotated data concerning their subjects of interest. Nowadays, many applications attach metadata and semantic annotations ... -
On the Problem of Automatically Aligning Indicators to SDGs
Soriano, Mario; Berlanga Llavori, Rafael; Lanza Cruz, Indira Lázara Springer Nature (2023-10-21)In this paper we present a first approach to the application of transformer-based language models to the automatic alignment to sustainable development goals (SDGs). This task is quite relevant for the development of new ... -
Ontology integration using mappings: towards getting the right logical consequences
Jiménez Ruiz, Ernesto; Cuenca Grau, Bernardo; Horrocks, Ian; Berlanga Llavori, Rafael Springer Verlag (Germany) (2009)We propose a general method and novel algorithmic techniques to facilitate the integration of independently developed ontologies using mappings. Our method and techniques aim at helping users understand and evaluate the ... -
Ontology refinement for improved information retrieval
Jimeno Yepes, Antonio José; Berlanga Llavori, Rafael; Rebholz-Schuhmann, Dietrich Elsevier (2010)Ontologies are frequently used in information retrieval being their main applications the expansion of queries, semantic indexing of documents and the organization of search results. Ontologies provide lexical items, allow ... -
Población de un almacén de datos con datos enriquecidos semánticamente.
Nebot Romero, Victoria; Berlanga Llavori, Rafael Institute of Electrical and Electronics Engineers (IEEE) (2010)Debido al auge de la Web Semántica cada vez existen más repositorios con grandes cantidades de datos semánticos (datos anotados con elementos de ontologías), con una estructura compleja, semi-estructurada y heterogénea. ... -
Quality Indicators for Social Business Intelligence
Berlanga Llavori, Rafael; Lanza Cruz, Indira Lázara; Aramburu Cabo, María José IEEE (2019-10-22)The main purpose of Social Business Intelligence is to help companies in making decisions by performing multidimensional analysis of the relevant information disseminated on social networks. Although data quality is a ... -
Quality management in social business intelligence projects
Aramburu Cabo, María José; Berlanga Llavori, Rafael; Lanza Cruz, Indira Lázara SciTePress Science and Technology Publications (2021)Social networks have become a new source of useful information for companies. Increasing the value of social data requires, first, assessing and improving the quality of the relevant data and, subsequently, developing ... -
Retrieving Product Features and Opinions from Customer Reviews
García Moya, Lisette; Anaya Sánchez, Henry; Berlanga Llavori, Rafael Institute of Electrical and Electronics Engineers (IEEE) (2013)A new methodology based on language models retrieves product features and opinions from a collection of free-text customer reviews about a product or service. The proposal relies on a language-modeling framework that can ... -
Reuse of terminological resources for efficient ontological
Jimeno Yepes, Antonio José; Jiménez Ruiz, Ernesto; Berlanga Llavori, Rafael; Rebholz-Schuhmann, Dietrich BioMed Central (2009-10-01)This paper is intended to explore how to use terminological resources for ontology engineering. Nowadays there are several biomedical ontologies describing overlapping domains, but there is not a clear correspondence between ...