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From XLDB

The XLDB Research Team at LaSIGE is hosted by the Departament of Informatics, of the University of Lisbon, Faculty of Sciences.

Announcements

2012-05-08 SOMER project has opened one call for 1 BI (Lic) Research Grant (Licentiate). Deadline: June 22th, 2012.
2012-01-10 SInteliGIS project has opened one call for 1 BI (Lic) Research Grant (Licentiate). Deadline: February 6th, 2012.

Research Lines

Research at XLDB addresses topics in geographic information retrieval, text mining and natural language processing, web archiving and search, information visualisation, and biomedical informatics, organized under two of LASIGE's research lines:

Biomedical Informatics: investigates problems related to biological, medical, clinical and epidemiological data management. The current focus is on biomedical ontologies, genomic and proteomic data mining and natural language processing of the biomedical literature.

Active projects:

AEB: Automated Extension of BioOntologies
ASSUME: Data mining methods for ASessing Similarity of molecular structUres in MEtric spaces
CoherenZy: Methods for Carbohydrate Enzyme Family Coherency Assessment
EPIWork: Developing the framework for an epidemic forecast infrastructure
FiBRE: Filtering Bioentity Recognition Errors
HCM: Integration and exploration of clinical and biological data concerning the disease hypertrophic cardiomyopathy (HCM)
ThermInfo: Collecting, Retrieving, and Estimating Reliable Thermochemical Data
SABO: Semantic similarity across biomedical ontologies (VPH-NoE)
SOMER: Semantic Ontology Matching using External Resources

Information Management: investigates data processing problems with a focus on systems for data analyses, information integration and user access to large quantities of complex data from heterogeneous platforms. Current research topics span geographic information retrieval, text mining and natural language processing, web archiving and search, and information visualization.

Active Projects:

CIDS: Citation Impact Discerning Self-citations
SInteliGIS: Geographic information management, particularly focusing on problems related to geographic information retrieval and to the processing of geospatial information encoded in textual documents.
VisMobile: Visualization on Mobile Devices. Developing a framework for adaptive mobile visualization.
VIRUS: Video Information Retieval Using Subtitles. Development of a Video Information Retrieval system that will operate on video libraries composed of subtitled documents.