Roxana Dánger Mercaderes

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Provenance metadata can be valuable in data sharing settings, where it can be used to help data consumers form judgements regarding the reliability of the data produced by third parties. However, some parts of provenance may be sensitive, requiring access control, or they may need to be simplified for the intended audience. Both these issues can be(More)
The provenance of a piece of data refers to knowledge about its origin, in terms of entities and actors involved in its creation, e.g. data sources used, operations carried out on them, and users enacting those operations. Provenance is used to better understand the data and the context of its production, and to assess its reliability, by asserting whether(More)
A novel Information Extraction system able to generate complex instances from free texts available on the Web is presented in this paper. The approach is based on non monotonical processing over ontologies, and makes use of entity recognizers and disambiguators in order to adequately extract and combine instances and relations between them. Experiments(More)
One of the most important tasks for determining association rules consists of calculating all the maximal frequent itemsets. Specifically, some methods to obtain these itemsets have been developed in the context of both databases and text collections. In this work, the hierarchical syntactical structure’s concept is introduced, which supplies an unexplored(More)
In this paper we introduce a new view definition language, named OntoPathView, which combines the simplicity of XPath with the high expressiveness of RDF/S based view languages. This language will allow us to work in a collaborative environment for the development of complex ontologies.
The Health-e-Child project aims to develop an integrated healthcare platform for European paediatrics. In order to achieve a comprehensive view of children’s health, a complex integration of biomedical data, information, and knowledge is necessary. Ontologies will be used to formally define this domain knowledge and will form the basis for the medical(More)
Currently, the main drawback for the development of the Semantic Web stems from the manual tagging of web pages according to a given ontology that conceptualizes its domain. This tasks is usually hard, even for experts, and it is prone to errors due to the different interpretations users can have about the same documents. In this paper we address the(More)
Since their introduction in 1993, association rules have been successfully applied to the description and summarization of discovered relations between attributes in a large collection of objects. However, most of the research works in this area have focused on mining simple objects, usually represented as a set of binary variables. The proposed work(More)
In this paper, a new approach for Drug-Drug Interaction detection is presented. The proposed method consists in discovering patterns automatically through Maximal Frequent Sequences extraction and using pattern matching to identify sentences that contain Drug-Drug Interactions. Maximal Frequent Sequences define word sequences that are frequent in texts and(More)