A5063246198- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Advanced Database Systems and Queries
- Topic Modeling
- Natural Language Processing Techniques
- Service-Oriented Architecture and Web Services
- Data Management and Algorithms
- Web Data Mining and Analysis
- Advanced Text Analysis Techniques
- Data Quality and Management
- Data Mining Algorithms and Applications
- Scientific Computing and Data Management
- Sentiment Analysis and Opinion Mining
- Big Data and Business Intelligence
- Rough Sets and Fuzzy Logic
- Complex Network Analysis Techniques
- Text and Document Classification Technologies
- Engineering and Information Technology
- Algorithms and Data Compression
- Multimedia Communication and Technology
- Bioinformatics and Genomic Networks
- Libraries, Manuscripts, and Books
- Journalism and Media Studies
- Spam and Phishing Detection
- Educational Technology in Learning
Universitat Jaume I
2012-2023
East Stroudsburg University
2022
Brandeis University
2022
Centre National de la Recherche Scientifique
2022
Mohamed bin Zayed University of Artificial Intelligence
2022
RMIT University
2022
Université d'Orléans
2022
Dalle Molle Institute for Artificial Intelligence Research
2022
University of Zurich
2022
Universitat de València
2018
This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data. It studies XML technologies that are currently being used to integrate, store, query retrieve web data, their application DWs. The reviews different DW distributed architectures use of languages as an integration tool in these systems. also introduces problem dealing with semi-structured data a DW. repositories, design multidimensional databases for sources extensions On-Line Analytical Processing...
This paper describes the convergence of some most influential technologies in last few years, namely data warehousing (DW), on-line analytical processing (OLAP), and Semantic Web (SW). OLAP is used by enterprises to derive important business-critical knowledge from inside company. However, interesting queries can no longer be answered on internal alone, external must also discovered (most often web), acquired, integrated, (analytically) queried, resulting a new type OLAP, exploratory OLAP....
In recent years, the recognition of semantic types from biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) ontology terms (GO terms). Other diseases have not received same level attention. Different solutions proposed to identify disease in literature. While matching terminology with language patterns suffers low recall (e.g., Whatizit) other make use morpho-syntactic features better cover full scope terminological variability MetaMap)....
The UMLS Metathesaurus (UMLS-Meta) is currently the most comprehensive effort for integrating independently-developed medical thesauri and ontologies. UMLS-Meta being used in many applications, including PubMed ClinicalTrials.gov. integration of new sources combines automatic techniques, expert assessment, auditing protocols. techniques use, however, are mostly based on lexical algorithms often disregard semantics integrated.In this paper, we argue that UMLS-Meta's current design...
The Semantic Web has become a new environment that enables organizations to attach semantic annotations taken from ontologies the information they generate. As result, large amounts of complex, semi-structured and heterogeneous data repositories are being made available, making necessary warehouse tools for analyzing Web. In this paper, we present semi-automatic method identification extraction valid facts aimed at expressed as instance stores in RDF/OWL. starting point is multidimensional...
Competitions in text mining have been used to measure the performance of automatic processing solutions against a manually annotated gold standard corpus (GSC). The preparation GSC is time-consuming and costly final consists at most few thousand documents with limited set semantic groups. To overcome these shortcomings, CALBC project partners (PPs) produced large-scale biomedical four different groups through harmonisation annotations from solutions, first version Silver Standard Corpus...
A new methodology based on language models retrieves product features and opinions from a collection of free-text customer reviews about or service. The proposal relies language-modeling framework that can be applied to in any domain provided with minimal knowledge source sentiments (that is, seed set opinion words).
The generation of electricity through renewable energy sources increases every day, with solar being one the fastest-growing. emergence information technologies such as Digital Twins (DT) in field Internet Things and Industry 4.0 allows a substantial development automatic diagnostic systems. objective this work is to obtain DT Photovoltaic Solar Farm (PVSF) deep-learning (DL) approach. To build DT, sensor-based time series are properly analyzed processed. resulting data used train DL model...
The today's public database infrastructure spans a very large collection of heterogeneous biological data, opening new opportunities for molecular biology, bio-medical and bioinformatics research, but raising also problems their integration computational processing. In this paper we survey the most interesting novel approaches representation, management different kinds data by exploiting XML related recommendations approaches. Moreover, present cutting edge appropriate represented through...
This paper is intended to explore how use terminological resources for ontology engineering. Nowadays there are several biomedical ontologies describing overlapping domains, but not a clear correspondence between the concepts that supposed be equivalent or just similar. These quite precious their integration and further development expensive. Terminologies may support ontological in stages of lifecycle ontology; e.g. integration. In this we investigate during lifecycle. We claim proper...