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A Semantic-Based Approach for Managing Healthcare Big Data: A Survey

Rafat Hammad, Malek Barhoush, Bilal H. Abed-alguni, Saverio Maietta
2020 Journal of Healthcare Engineering  
big data.  ...  In the recent few years, a large number of organizations and companies have shown enthusiasm for using semantic web technologies with healthcare big data to convert data into knowledge and intelligence  ...  [65] used HBase repository, ontologies, and data mapping to develop a semantic big data model that integrates heterogeneous data from different resources. Yu et al.  ... 
doi:10.1155/2020/8865808 pmid:33489061 pmcid:PMC7787845 fatcat:gorgipqn6famhkeffmqzr4tacq

Semantic Web technologies for the big data in life sciences

Hongyan Wu, Atsuko Yamaguchi
2014 BioScience Trends  
The life sciences field is entering an era of big data with the breakthroughs of science and technology. More and more big data-related projects and activities are being performed in the world.  ...  The paper presents a survey of big data in life sciences, big data related projects and Semantic Web technologies.  ...  Acknowledgements This work has been supported by the National Bioscience Database Center (NBDC) of the Japan Science and Technology Agency (JST).  ... 
doi:10.5582/bst.2014.01048 fatcat:x2rlpyjel5cybarma34ji6sq3y

Transforming Open Data to Linked Open Data Using Ontologies for Information Organization in Big Data Environments of the Brazilian Government: the Brazilian Database Government Open Linked Data – DBgoldbr

Marcio Victorino, Maristela Terto de Holanda, Edison Ishikawa, Edgard Costa Oliveira, Sammohan Chhetri
2018 Knowledge organization  
with the help of ontologies, by transforming open data into open linked data.  ...  Subsequently, providing applications with enough capability to handle this "big data environment" so that vital and decisive information is readily accessible, has become a tremendous challenge.  ...  Big Data structures, models and their links at different processing stages. Figure 2 . 2 Figure 2. Big data lifecycle in big data ecosystem. Figure 3 . 3 Figure 3.  ... 
doi:10.5771/0943-7444-2018-6-443 fatcat:em62k5rcsffqhpeiwctumieeby

Enterprise BigGraph

Aisha Naseer, Loredana Laera, Takahide Matsutsuka
2013 2013 46th Hawaii International Conference on System Sciences  
data and insights from different sources, and to be able to easily use and analyze it within the context of their data.  ...  Enterprises are aware that to derive real business value from Big Data and seek competitive advantages, they need to have available the right tool to extract, capture and organize a wide variety of useful  ...  BigGraph Server Architecture At the model level, BigGraph uses lightweight ontologies (in RDFS and/or OWL) [9] to define domain concepts and relationships to model social enterprise domain.  ... 
doi:10.1109/hicss.2013.202 dblp:conf/hicss/NaseerLM13 fatcat:wks3kq5enfcirgpkn6w3lm7loy

Semantic Integration in Big Data: State-of-the-Art

Zaoui Sayah, Okba Kazar, Ahmed Ghenabzia
2020 Journal of Mobile Multimedia  
Afterwards, we talk about ontology and how it can be used to improve big data management and analyses for decision makers.  ...  This paper aims to provide a comprehensive overview for readers about big data and the appropriate tools to manipulate and analyse them such as Hadoop.  ...  To cope with the challenge of big data management, Google has created GFS and MapReduce programming models to manage and analyse data across the Internet [1] .  ... 
doi:10.13052/jmm1550-4646.1533 fatcat:kbeak7dg4bc3pja4bri3gswhge

Towards Information Profiling: Data Lake Content Metadata Management

Ayman Alserafi, Alberto Abello, Oscar Romero, Toon Calders
2016 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)  
There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, commonly called Data Lakes (DL).  ...  These BD require new techniques of data integration and schema alignment in order to make the data usable by its consumers and to discover the relationships linking their content.  ...  The second phase is data digestion which means analysing the data flowing to the DL to discover informational concepts and data features.  ... 
doi:10.1109/icdmw.2016.0033 dblp:conf/icdm/AlserafiA0C16 fatcat:4xnvc7iiejg77aiq3uxwdofetm

Using Ontologies in Cybersecurity Field

Tiberiu Marian GEORGESCU, Ion SMEUREANU
2017 Informatică economică  
Having online sources as input data, the model proposed extracts and analyses natural language that relates with cybersecurity field, with the aid of ontologies.  ...  This paper describes the data flow of the framework and it proposes technological solutions so that the model can be applied.  ...  A notification is an RDF type sentence, followed by the text source that generated that specific data for ontology and the URLs from where that data was downloaded.  ... 
doi:10.12948/issn14531305/21.3.2017.01 fatcat:gelf6m4sa5fvjnry26fmcdyfky

From Data Quality to Big Data Quality: A Data Integration Scenario

Carlo Batini, Anisa Rula
2021 Sistemi Evoluti per Basi di Dati  
More recently, a variety of data types have arisen from linguistic and visual information, used and diffused through social networks, Internet of things, enterprise and public sector information systems  ...  ., acquisition of data, extraction, pre-processing, analysis modelling and functionality, interpretation, etc.) that might affect the benefit of such data, several authors identify data quality as the  ...  Relational model and linked data The survey in [11] analyses approaches that tackle the problem from database to ontology mappings.  ... 
dblp:conf/sebd/BatiniR21 fatcat:3cdv4xvh3fht7eclnjcdsc6eqy

Managing, Analysing, and Integrating Big Data in Medical Bioinformatics: Open Problems and Future Perspectives

Ivan Merelli, Horacio Pérez-Sánchez, Sandra Gesing, Daniele D'Agostino
2014 BioMed Research International  
In particular, the research in omics sciences is moving from a hypothesis-driven to a data-driven approach.  ...  Such analyses lead to better understanding of diseases and development of better and personalized diagnostics and therapeutics.  ...  Acknowledgments The work has been supported by the Italian Ministry of Education and Research through the Flagship (PB05) "Inter-Omics, " "HIRMA" (RBAP11YS7 K) projects, and the European "MIMOmics" (305280  ... 
doi:10.1155/2014/134023 pmid:25254202 pmcid:PMC4165507 fatcat:55hlmuaqufefvbmgbdv3a6utv4

A Survey of Geospatial Semantic Web for Cultural Heritage

Nishanbaev, Champion, McMeekin
2019 Heritage  
It then proposes a framework to turn geospatial cultural heritage data into machine-readable and processable resource description framework (RDF) data to use in the geospatial semantic web, with a case  ...  The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users' attempts to contextualize information from distributed repositories.  ...  This allows the easy integration of linked data from different semantic query endpoints, in a standardized data model (RDF) [53] .  ... 
doi:10.3390/heritage2020093 fatcat:yyxhshm2wvfphkzeumi66ds4em

Linked open graph: Browsing multiple SPARQL entry points to build your own LOD views

Pierfrancesco Bellini, Paolo Nesi, Alessandro Venturi
2014 Journal of Visual Languages and Computing  
A number of accessible RDF stores are populating the linked open data world. The navigation on data reticular relationships is becoming every day more relevant.  ...  ontology analysis, OSIM for competence / knowledge mining and analysis.  ...  For example, to (i) discover and understand the model and the information associated to a given service in the city, (ii) discover connections and similarities among different open data set of public administration  ... 
doi:10.1016/j.jvlc.2014.10.003 fatcat:s5tkeibydfh5xm5pidctddmfp4

Exploration and Visualization in the Web of Big Linked Data: A Survey of the State of the Art [article]

Nikos Bikakis, Timos Sellis
2016 arXiv   pre-print
Data exploration and visualization systems are of great importance in the Big Data era.  ...  Considering these challenges, we present how state-of-the-art approaches from the Database and Information Visualization communities attempt to handle them.  ...  For the requested resources, it generates an RDF graph by exploiting existing ontologies and other knowledge from the Web.  ... 
arXiv:1601.08059v1 fatcat:oys5cakbknfylmzjrml6zb74pu

An Automated Approach for Digital Forensic Analysis of Heterogeneous Big Data

Hussam Mohammed, Nathan Clarke, Fudong Li
2016 Journal of Digital Forensics, Security and Law  
The proposed approach focuses upon the use of metadata to solve the data volume problem, semantic web ontologies to solve the heterogeneous data sources and artificial intelligence models to support the  ...  The major challenges with big data examination and analysis are volume, complex interdependence across content, and heterogeneity.  ...  Some modelling languages are introduced by the semantic web standards such as Resource Description Framework Schema (RDFS) and the Web Ontology Language (OWL).  ... 
doi:10.15394/jdfsl.2016.1384 fatcat:ks72ydtg5vgkdi2uub26u6yalq

Interactive multidimensional modeling of linked data for exploratory OLAP

Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi, Alberto Abelló, Oscar Romero
2018 Information Systems  
While some techniques to create, publish, and query RDF cubes are already available, little has been said about how to contextualize these cubes with situational data in an on-demand fashion.  ...  Exploratory OLAP aims at coupling the precision and detail of corporate data with the information wealth of LOD.  ...  Indeed, differently from small and confined ontologies that are typically developed in-house and provide a reliable representation of the area of interest, big and cross-domain ontologies are more inclined  ... 
doi:10.1016/j.is.2018.06.004 fatcat:ofvmsaxnkbajlnu4asmveefpeu

A Survey on Ontology System in Semantic Web using Intelligent Techniques

B. Gladys Gnana Kiruba
2016 Indian Journal of Science and Technology  
Findings: The ontology provides better way to represent the data and information as it is specified based on the conceptualization.  ...  Also applying some intelligent techniques like rough set, fuzzy set, formal concept analysis and case-based representation still improves the efficiency of representing and analysing the ontology under  ...  big data 13 .  ... 
doi:10.17485/ijst/2016/v9i35/98021 fatcat:r7dm6mkykbgsteu2erm7lnzj6q
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