Ontology-based data integration
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The Ontology for Biomedical Investigations Open
This FAIRsharing record describes: The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are …
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Ontology-Based Data Access: A Survey Open
We present the framework of ontology-based data access, a semantic paradigm for providing a convenient and user-friendly access to data repositories, which has been actively developed and studied in the past decade. Focusing on relational …
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A survey of ontology learning techniques and applications Open
Ontologies have gained a lot of popularity and recognition in the semantic web because of their extensive use in Internet-based applications. Ontologies are often considered a fine source of semantics and interoperability in all artificial…
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The use of ontologies for effective knowledge modelling and information retrieval Open
The dramatic increase in the use of knowledge discovery applications requires end users to write complex database search requests to retrieve information. Such users are not only expected to grasp the structural complexity of complex datab…
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The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics Open
The Planteome project (http://www.planteome.org) provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and…
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Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration Open
Linked Data (LD) aims to achieve interconnected data by representing entities using Unified Resource Identifiers (URIs), and sharing information using Resource Description Frameworks (RDFs) and HTTP. Ontologies, which logically represent e…
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A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval Open
With the advent of the big-data era, massive information stored in electronic and digital forms on the internet become valuable resources for knowledge discovery in engineering design. Traditional document retrieval method based on documen…
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UCO: A Unified Cybersecurity Ontology Open
In this paper we describe the Unified Cybersecurity Ontology (UCO) that is intended to support information integration and cyber situational awareness in cybersecurity systems. The ontology incorporates and integrates heterogeneous data an…
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A systematic review of ontology use in E-Learning recommender system Open
Ontology and knowledge-based systems typically provide e-learning recommender systems. However, ontology use in such systems is not well studied in systematic detail. Therefore, this research examines the development and evaluation of onto…
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The anatomy of phenotype ontologies: principles, properties and applications Open
The past decade has seen an explosion in the collection of genotype data in domains as diverse as medicine, ecology, livestock and plant breeding. Along with this comes the challenge of dealing with the related phenotype data, which is not…
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Overview and Analysis of Ontology Studies Supporting Development of the Construction Industry Open
10.1061/(ASCE)CP.1943-5487.0000594
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Interoperability and FAIRness through a novel combination of Web technologies Open
Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-…
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OptiqueVQS: A visual query system over ontologies for industry Open
An important application of semantic technologies in industry has been the formalisation of information models using OWL 2 ontologies and the use of RDF for storing and exchanging application data. Moreover, legacy data can be virtualised …
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Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help? Open
The Internet of Things (IoT) plays an ever-increasing role in enabling Smart City applications. An ontology-based semantic approach can help improve interoperability between a variety of IoT-generated as well as complementary data needed t…
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CODO: An Ontology for Collection and Analysis of Covid-19 Data Open
The COviD-19 Ontology for cases and patient information (CODO) provides a model for the collection and analysis of data about the COVID-19 pandemic. The ontology provides a standards-based open-source model that facilitates the integration…
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Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals Open
The ontology and terminology developed in this study provide a semantic foundation for analyzing social media data on adolescent depression. To be useful in social media data analysis, the ontology, especially the terminology, needs to be …
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Margin based ontology sparse vector learning algorithm and applied in biology science Open
In biology field, the ontology application relates to a large amount of genetic information and chemical information of molecular structure, which makes knowledge of ontology concepts convey much information. Therefore, in mathematical not…
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OntoKin: An Ontology for Chemical Kinetic Reaction Mechanisms Open
An ontology for capturing both data and the semantics of chemical kinetic reaction mechanisms has been developed. Such mechanisms can be applied to simulate and understand the behavior of chemical processes, for example, the emission of po…
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The radiation oncology ontology (<span>ROO</span>): Publishing linked data in radiation oncology using semantic web and ontology techniques Open
Purpose Personalized medicine is expected to yield improved health outcomes. Data mining over massive volumes of patients’ clinical data is an appealing, low‐cost and noninvasive approach toward personalization. Machine learning algorithms…
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An integration-oriented ontology to govern evolution in big data ecosystems Open
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in their original format. The structure of those data, commonly supplied by means of REST APIs, is continuously evolving. Thus data analy…
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Multiple Choice Question Generation Utilizing An Ontology Open
Ontologies provide a structured representation of concepts and the relationships which connect them. This work investigates how a pre-existing educational Biology ontology can be used to generate useful practice questions for students by u…
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An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival Open
Using an ontology-based data integration approach not only standardizes the definitions of data variables through a common, controlled vocabulary, but also makes the semantic relationships among variables from different sources explicit an…
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OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system Open
OpenBiodiv-O provides a conceptual model of the structure of a biodiversity publication and the development of related taxonomic concepts. It also serves as the basis for the OpenBiodiv Knowledge Management System.
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Ontology mapping for semantically enabled applications Open
In this review, we provide a summary of recent progress in ontology mapping (OM) at a crucial time when biomedical research is under a deluge of an increasing amount and variety of data. This is particularly important for realising the ful…
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The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review Open
Multi-agent systems are well-known for their expressiveness to explore interactions and knowledge representation in complex systems. Multi-agent systems have been applied in the energy domain since the 1990s. As more applications of multi-…
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Using NSGA‐III for optimising biomedical ontology alignment Open
To support semantic inter‐operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biom…
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Ontology-Based Data Integration in Multi-Disciplinary Engineering Environments: A Review Open
Today's industrial production plants are complex mechatronic systems. In the course of the production plant lifecycle, engineers from a variety of disciplines (e.g., mechanics, electronics, automation) need to collaborate in multi-discipli…
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Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology Open
The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can pa…
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OntoMetrics: Putting Metrics into Use for Ontology Evaluation Open
Automatically calculated metrics are needed in order to evaluate ontology quality. Otherwise, major resources are required in order to manually assess certain Quality Criteria of an ontology. While there is rule based support for the detec…
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Survey on complex ontology matching Open
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