A5103173430- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Scientific Computing and Data Management
- Advanced Database Systems and Queries
- Service-Oriented Architecture and Web Services
- Topic Modeling
- Distributed and Parallel Computing Systems
- Data Quality and Management
- Cloud Computing and Resource Management
- Advanced Data Storage Technologies
- Laser Applications in Dentistry and Medicine
- Advanced Software Engineering Methodologies
- Web Data Mining and Analysis
- Natural Language Processing Techniques
- Periodontal Regeneration and Treatments
- Data Management and Algorithms
- Dental Implant Techniques and Outcomes
- Opportunistic and Delay-Tolerant Networks
- Algorithms and Data Compression
- Asphalt Pavement Performance Evaluation
- Material Properties and Processing
- Legal and Policy Issues
- Caching and Content Delivery
- Software System Performance and Reliability
- Infrastructure Maintenance and Monitoring
Hudson Institute
2023
American Academy of Arts and Sciences
2023
British Academy
2023
John Wiley & Sons (United States)
2023
Moss Landing Marine Laboratories
2023
Universitat Jaume I
2008-2015
Hispasat (Spain)
2007
GFI Informática (Spain)
2006
Many important applications in scientific fields such as Bioinformatics depend on the management of large collections heterogeneous XML documents, containing complex domain-specific data. To allow advanced querying, these systems need to support techniques data exploration and approximate query processing by using multiple notions similarity. The development kinds information usually proceeds costly ad-hoc ways, due lack methodological guidance.
In this demonstration we present XTaGe (XML Tester and Generator), a flexible tool for the creation of complex XML collections. focuses on collections with structural constraints domain-specific characteristics, which would be very difficult or impossible to replicate using existing generators. It addresses limitations current generators by providing highly extensible framework introduce controlled variability in structures.
Open metadata registries are a fundamental tool for researchers in the Life Sciences trying to locate resources. While most current assume that resources annotated with well-structured metadata, evidence shows of resource annotations simply consists informal free text. This reality must be taken into account order develop effective techniques discovery Sciences.BioUSeR is semantic-based aimed at retrieving described The retrieval process driven by user requirements, which consist target task...
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Many XML-based information systems that must handle highly heterogeneous require multiple similarity measures. Until now, little guidance exists for the design of application-dependent measures in such systems. This paper contributes a four-step methodology guides development multi-similarity systems, and shows its usefulness with use case. The experiments show can benefit from appropriate tools (test collection generators, query assessment criteria), thus achieving significant reductions...
Open metadata registries are a fundamental tool for researchers in the Life Sciences trying to locate resources such as web services or databases. While sophisticated standards have been produced annotating these with rich, well-structured metadata, evidence shows that open majority of annotations simply consists informal free text descriptions. This reality must be taken into account order develop effective techniques resource discovery Sciences.
In recent years, the number of resources available on Web has increased quickly. Life Sciences, researchers are publishing their research results as web with aim collaborating other researchers. However, di