• openAccess   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 ...
    • closedAccess   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 ...
    • openAccess   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 ...
    • openAccess   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 ...
    • closedAccess   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 ...
    • openAccess   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 ...
    • openAccess   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. ...
    • openAccess   Scalable methods to analyze Semantic Web data 

      Nebot Romero, Victoria IOS Press (2016-04-26)
      Semantic Web data is currently being heavily used as a data representation format in scientific communities, social networks, business companies, news portals and other domains. The irruption and availability of Semantic ...
    • openAccess   Semantic annotation of biomedical texts through concept retrieval 

      Berlanga Llavori, Rafael; Nebot Romero, Victoria; Jiménez Ruiz, Ernesto Sociedad Española para el Procesamiento del Lenguaje Natural (2010-09)
      This paper presents a novel approach for the semantic annotation of biomedical texts based on the retrieval of UMLS concepts that best _t with the target text. An evaluation of the approach has been carried out over the ...
    • closedAccess   SLOD-BI: An Open Data Infrastructure for Enabling Social Business Intelligence 

      Berlanga Llavori, Rafael; García Moya, Lisette; Nebot Romero, Victoria; Aramburu Cabo, María José; Sanz, Ismael; Llidó Escrivá, Dolores María IGI Global (2015)
      The tremendous popularity of web-based social media is attracting the attention of the industry to take profit from the massive availability of sentiment data, which is considered of a high value for Business Intelligence ...
    • openAccess   Statistically-driven generation of multidimensional analytical schemas from linked data 

      Nebot Romero, Victoria; Berlanga Llavori, Rafael Elsevier (2016)
      The ever-increasing Linked Data (LD) initiative has given place to open, large amounts of semi-structured and rich data published on the Web. However, effective analytical tools that aid the user in his/her analysis and ...
    • openAccess   Tailored semantic annotation for semantic search 

      Berlanga Llavori, Rafael; Nebot Romero, Victoria; Pérez Catalán, María Elsevier (2015)
      This paper presents a novel method for semantic annotation and search of a target corpus using several knowledge resources (KRs). This method relies on a formal statistical framework in which KR concepts and corpus documents ...
    • closedAccess   Using Semantic Web Technologies for Exploratory OLAP: A Survey 

      Abelló, Alberto; Romero, Óscar; Pedersen, Torben Bach; Berlanga Llavori, Rafael; Nebot Romero, Victoria Institute of Electrical and Electronics Engineers (IEEE) (2015-02)
      This paper describes the convergence of some of the most influential technologies in the last few years, namely data warehousing (DW), on-line analytical processing (OLAP), and the Semantic Web (SW). OLAP is used by ...