An Archetype Query Language interpreter into MongoDB: Managing NoSQL standardized Electronic Health Record extracts systems
Sign Up to like & getrecommendations! Published in 2020 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2019.103339
Abstract: The fast development of today's healthcare and the need to extract new medical knowledge from exponentially-growing volumes of standardized Electronic Health Records data, as required by studies in Precision Medicine, brings up a challenge that… read more here.
Keywords: interpreter; ehr extracts; query language; electronic health ... See more keywords
Increasing the Scale of the Mass Spectrometry Query Language Compendium with Explainable AI.
Sign Up to like & getrecommendations! Published in 2025 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.5c02591
Abstract: A significant bottleneck in metabolomics data interpretation is the effective use of domain knowledge to assign structural information based on fragmentation patterns. The mass spectrometry query language (MassQL) aims to make this process accessible and… read more here.
Keywords: mass spectrometry; query language; mass; language ... See more keywords
Structured query language query join optimization by using rademacher averages and mapreduce algorithms
Sign Up to like & getrecommendations! Published in 2024 at "Bulletin of Electrical Engineering and Informatics"
DOI: 10.11591/eei.v13i3.6837
Abstract: Query optimization involves identifying and implementing the most effective and efficient methods and strategies to enhance the performance of queries. This is achieved by intelligently utilizing system resources and considering various performance metrics. Table joining… read more here.
Keywords: query language; structured query; language; optimization ... See more keywords
Ensemble learning techniques against structured query language injection attacks
Sign Up to like & getrecommendations! Published in 2024 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v35.i2.pp1004-1012
Abstract: Structured query language (SQL) injection threats pose severe risks to web applications, necessitating robust detection measures. This study introduced DSQLIA, employing ensemble learning algorithms-Bagging, Stacking, and AdaBoost classifiers-for SQL injection detection. Results unveiled the bagging… read more here.
Keywords: query language; injection; ensemble learning; structured query ... See more keywords
Effective Approaches to Neural Query Language Identification
Sign Up to like & getrecommendations! Published in 2022 at "Computational Linguistics"
DOI: 10.1162/coli_a_00451
Abstract: Abstract Query language identification (Q-LID) plays a crucial role in a cross-lingual search engine. There exist two main challenges in Q-LID: (1) insufficient contextual information in queries for disambiguation; and (2) the lack of query-style… read more here.
Keywords: low resource; query language; model; language identification ... See more keywords
Query Translation Between AQL and CQL
Sign Up to like & getrecommendations! Published in 2019 at "Studies in health technology and informatics"
DOI: 10.3233/shti190197
Abstract: Secondary use of electronic health records using data aggregation systems (DAS) with standardized access interfaces (e.g. openEHR, i2b2, FHIR) have become an attractive approach to support clinical research. In order to increase the volume of… read more here.
Keywords: aql cql; translation aql; query language; query ... See more keywords
The OneGraph vision: Challenges of breaking the graph model lock-in1
Sign Up to like & getrecommendations! Published in 2022 at "Semantic Web"
DOI: 10.3233/sw-223273
Abstract: Amazon Neptune is a graph database service that supports two graph models: W3C’s Resource Description Framework (RDF) and Labeled Property Graphs (LPG). Customers choose one or the other model. This choice determines which data modeling… read more here.
Keywords: query language; choice; graph; model ... See more keywords
Semantic Protocol and Resource Description Framework Query Language: A Comprehensive Review
Sign Up to like & getrecommendations! Published in 2022 at "Mathematics"
DOI: 10.3390/math10173203
Abstract: This review presents various perspectives on converting user keywords into a formal query. Without understanding the dataset’s underlying structure, how can a user input a text-based query and then convert this text into semantic protocol… read more here.
Keywords: query language; description framework; language; resource description ... See more keywords