The aim of this project is to define and develop information extraction and retrieval techniques based on texts from the medical domain. This will be carried out following two basic tasks: firstly, processing scientific documents in English about pharmacology, and secondly, processing informative texts about health topics in other languages such as Spanish and Arabic.
Database Design discipline involves so different aspects as conceptual and logical modelling knowledge or domain understanding. That implies a great effort to carry out the real world abstraction task and represent it through a data model. CASE tools emerge in order to automating the database development process. These platforms try to help to the database designer in different database design phases.
This project is related to the strategic action line of Tourism related technologies with the aim of improving the existing signaling systems for tourists (of any language) and develop accessible systems in tourist accommodation to help overcome some disabilities (motor, audible, and visual). The consortium created for this project joins together experienced companies in the IT (TMT Factory, Signaletics) and academic research groups (La Salle, UPM, UC3M).
The main project purpose is the design and development of a set of software tools to support Software Engineering Best Practices, defined by international standardization organizations such as ISO, SEI and PMI. These tools will allow the definition of software processes and will assist in the software project management based on Best Practices Models.
The aim is to research in technology based on automatic language processing for information location and retrieval from medical texts and other resources (reports, electronic medical records, scientific documentation, etc..) specially in Spanish language. Thus, we worked in browsers with different levels of complexity that integrate medical domain-specific resources and terminology (UMLS, SNOMED, etc.) and with different treatment of syntactic and semantic levels.
MAVIR Consortium is a research network co-funded by the Regional Government of Madrid under the IV Plan Regional de Investigación Científica e Innovación Tecnológica (IV PRICIT) integrating a multi-disciplinar team made of scientists, engineers, linguists and documentalists working together on two main areas:Human Language Technologies and Scientific Communication via WWW. The thematic network suggested includes 25 doctors organised in 6 research groups (UNED, UAM, UC3M, UEM, UPM and CINDOC) of the CM that from a multi-discipline perspective complement in various dimensions: academic vs.
BRAVO is devoted to research on technologies to improve the answers search in both text and voice, and the main result is a platform for a modular answers search system which allows to measure the improvement of different techniques for questions classification, answer extraction, passages retrieval, etc. SPINDEL is one of the techniques developed in this project, an entity recognizer which, regardless of language, applies machine learning based on bootstrapping.
SemAnts projects main goal is to promote general access to the information society, thus improving the well-being and everyday life of both citizens and tourists. In order to do this, it is aimed to demonstrate the potential of different technologies to create more sophisticated systems which will have a real impact on the needs of people. The aspect of Information Society focused from SemAnts is the digital content, understood as elements or assemblies of media (video, image, text). These elements may represent information or may also be part of services provided to users.
The project is carried out by a broad Consortium, integrating development enterprises as iSOCO, research centers such as the Carlos III University of Madrid (UC3M), and user entities as is the Bankinter Foundation. It aims to develop a new digital platform providing access to information and services through secure and accessible interaction. It will gather multiple channels of communication, such as web access, instant messaging and intelligent speech processing, that is, able of communicating by means of natural language dialogues.