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Enhanced Ontology Matching for Big Data Integration

Nesma Mahmoud, Hatem M Abdlkader
<span title="">2020</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wxgp7pobnrfetfizidmpebi4qy" style="color: black;">Journal of Physics, Conference Series</a> </i> &nbsp;
ontology matching (OM) is a critical process for many disciplines. It aims at identifying the semantic correspondences among different ontologies that are merged for data integration.  ...  Unfortunately, OM still faces challenges, especially, in the big data integration (BDI) area.  ...  Ontology is a graph schema for representing information and knowledge of a certain domain. Big data characteristics, especially the volume, lead to the appeal of large-scale ontologies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1742-6596/1447/1/012028">doi:10.1088/1742-6596/1447/1/012028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ltonhtmpdvfalcf5aeairdxqpa">fatcat:ltonhtmpdvfalcf5aeairdxqpa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200131204316/https://iopscience.iop.org/article/10.1088/1742-6596/1447/1/012028/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/22/26/22262cd1bc5b821c7ae465a5d39bf72bcff2d979.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1742-6596/1447/1/012028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> iop.org </button> </a>

Matching Offerings and Queries on an Internet of Things Marketplace

Victor Charpenay, Hoan Nguyen, Mohamad Ibrahim, Achille Zappa, Arne Broring
<span title="2018-12-30">2018</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In this paper, we present the semantic matching implemented on the public BIG IoT marketplace.  ...  Marketplace for the Internet of Things acts as the corner stone of an IoT ecosystem, by matching the offer (i.e., data or functionalities) with the demand coming from IoT applications (e.g. analytics).  ...  Offering Model The basis for our matching approach is a lightweight ontological model for IoT offerings and queries, which we illustrate in Figure 1 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.2581043">doi:10.5281/zenodo.2581043</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hgojmb6px5cvfg5lkyeztase6m">fatcat:hgojmb6px5cvfg5lkyeztase6m</a> </span>
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Matching Offerings and Queries on an Internet of Things Marketplace [chapter]

Victor Charpenay, Hoan Nguyen, Mohamad Ibrahim, Achille Zappa, Arne Bröring
<span title="">2018</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
A marketplace for the Internet of Things acts as the corner stone of an IoT ecosystem, by matching the offer (i.e., data or functionalities) with the demand coming from IoT applications (e.g. analytics  ...  In this paper, we present the semantic matching implemented on the public BIG IoT marketplace, accessible at https://market.big-iot.org/.  ...  Acknowledgements This work is supported by the project 'Bridging the Interoperability Gap of the Internet of Things' BIG IoT funded by the European Commission's Horizon 2020 program (Grant No. 688038).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-98192-5_13">doi:10.1007/978-3-319-98192-5_13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3fkbdqhryfcfhhbunrybylg7le">fatcat:3fkbdqhryfcfhhbunrybylg7le</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218210903/http://pdfs.semanticscholar.org/110d/88af5f78762f0abb5e877153043ec58ea723.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/11/0d/110d88af5f78762f0abb5e877153043ec58ea723.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-98192-5_13"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Towards Information Profiling: Data Lake Content Metadata Management

Ayman Alserafi, Alberto Abello, Oscar Romero, Toon Calders
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gckg3mzs4fhxhbrvmbsa54bccm" style="color: black;">2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)</a> </i> &nbsp;
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 matching algorithm is based on the ontology alignment similarity measure [6] and the average data and schema profile similarity.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdmw.2016.0033">doi:10.1109/icdmw.2016.0033</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdm/AlserafiA0C16.html">dblp:conf/icdm/AlserafiA0C16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4xnvc7iiejg77aiq3uxwdofetm">fatcat:4xnvc7iiejg77aiq3uxwdofetm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200305064455/https://upcommons.upc.edu/bitstream/handle/2117/100712/CM4DL%20Paper%20DINA%20V9%20-%20Camera-ready.pdf;jsessionid=DA62D70CE6009B378E9DA24212E444F2?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c4/01/c4018a1d4dfbe3112772917dc37e7fc92e8465b7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdmw.2016.0033"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Ontology-Based Big Data Management

Bastian Eine, Matthias Jurisch, Werner Quint
<span title="2017-07-06">2017</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v6wkcofcp5ea5olg3r652yfvmi" style="color: black;">Systems</a> </i> &nbsp;
Lastly, it has not yet been analyzed whether existing solutions for data and business process integration in big data management context take different user perspectives into account, and if they do, how  ...  Big data management is no longer an issue for large enterprises only; it has also become a challenge for small and middle-sized enterprises, too.  ...  In particular, suitable algorithms for modeling and representation of different data as well as individually customizable mechanisms for data linking in dynamic datasets are relevant for such an approach  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/systems5030045">doi:10.3390/systems5030045</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/imbav3pqlnhmzllsyju37mtpem">fatcat:imbav3pqlnhmzllsyju37mtpem</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190505195414/https://res.mdpi.com/systems/systems-05-00045/article_deploy/systems-05-00045.pdf?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/53/77532e4ecc6ab2f0ff38922d5dc39413a370ad13.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/systems5030045"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Explicit Link Discovery Scheme Optimized with Ontology Mapping using Improved Machine Learning Approach

Sengodan MANI, Samukutty ANNADURAI
<span title="2021-04-01">2021</span> <i title="ICI Bucharest"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bknu4n2wb5dxdcglh6a55xekte" style="color: black;">Studies in Informatics and Control</a> </i> &nbsp;
The proposed model includes the entity behaviour and structural information of the ontology classes for the similarity matching process.  ...  In this paper a new model of similarity matching techniques is presented with the purpose of integrating related ontologies.  ...  The main goal of OAEI is to assess the strength and weakness of the matching process in ontology mapping. OAEI contributes to the improvement of the ontology alignment algorithms and techniques.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24846/v30i1y202106">doi:10.24846/v30i1y202106</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6btp2dhhjvbqpgnorfptr7s4ei">fatcat:6btp2dhhjvbqpgnorfptr7s4ei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716153208/https://sic.ici.ro/wp-content/uploads/2021/03/Art.-6-Issue-4-2020.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/63/e3/63e37592268af5aa2555d5e92ed95c2fa7e04860.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24846/v30i1y202106"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Human's Role in-the-Loop [article]

Avigdor Gal, Roee Shraga
<span title="2022-04-27">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Humans in explores how to better involve humans in the matching loop by assigning human matchers with a symmetric role to algorithmic matcher in the matching process.  ...  Given the availability of data and the improvement of machine learning techniques, this blog discusses the respective roles of humans and machines in achieving cognitive tasks in matching, aiming to determine  ...  Ofra Amir,and Coral Scharf for their involvement in our research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.14192v1">arXiv:2204.14192v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/etaviegf4jhftnmjiiruzqqel4">fatcat:etaviegf4jhftnmjiiruzqqel4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220503190731/https://arxiv.org/pdf/2204.14192v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bf/05/bf05008ea8032f015ffe12991c11f402f020b2a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.14192v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Towards a Multi-level Upper Ontology/ foundation Ontology Framework as Background Knowledge for Ontology Matching Problem

Alok Chauhan, V. Vijayakumar, Ramesh Ragala
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cx3f4s3qmfe6bg4qvuy2cxezyu" style="color: black;">Procedia Computer Science</a> </i> &nbsp;
This paper emphasizes on application of background knowledge in ontology matching problems.  ...  The main idea is to have a multi-level structure of ontologies (higher the level, more universal/general the ontology is) to be used as background knowledge for ontology matching.  ...  Solutions provided for contextual ontology alignment of Linked Open Data with an upper ontology addresses important issues related with schema-level mappings [10] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2015.04.096">doi:10.1016/j.procs.2015.04.096</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ppspfhd4mzhtxit5dpajltebw4">fatcat:ppspfhd4mzhtxit5dpajltebw4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171002165320/http://publisher-connector.core.ac.uk/resourcesync/data/elsevier/pdf/bad/aHR0cDovL2FwaS5lbHNldmllci5jb20vY29udGVudC9hcnRpY2xlL3BpaS9zMTg3NzA1MDkxNTAwNTk3OQ%3D%3D.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/33/fb/33fb0086795192a0eef6c2d65359008b82cf6c25.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2015.04.096"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

EHR Big Data Deep Phenotyping

L. J. Frey, L. Lenert, G. Lopez-Campos
<span title="">2014</span> <i title="Schattauer GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/25ybzim6mvglde3zgjvka7ehii" style="color: black;">IMIA Yearbook of Medical Informatics</a> </i> &nbsp;
The big data solution, using flexible markup, provides a route to improved utilization of processing power for organizing patient records in genotype and phenotype research.  ...  The use of big data approaches are described that enable scalable markup of EHR events that can be used for semantic and temporal similarity analysis to support the identification of phenotype and genotype  ...  Similarity metrics can be calculated through ontologies and other algorithms to model the degree of content similarity to identify phenotypes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15265/iy-2014-0006">doi:10.15265/iy-2014-0006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25123744">pmid:25123744</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4287080/">pmcid:PMC4287080</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oadqazqyqvbd5fv7acuw3vzgxq">fatcat:oadqazqyqvbd5fv7acuw3vzgxq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710014415/https://www.thieme-connect.com/products/ejournals/pdf/10.15265/IY-2014-0006.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/49/04/4904cacb535d8971f30a7e032bdddc1627ddb52d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15265/iy-2014-0006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287080" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Optimizing Ontology Alignments by Using Genetic Algorithms

Jorge Martinez
<span title="2018-08-16">2018</span> <i title="Figshare"> Figshare </i> &nbsp;
In this work we present GOAL (Genetics for Ontology Alignments) a new approach to compute the optimal ontology alignment function for a given ontology input set.  ...  Our approach is a genetic algorithm which is able to work with several goals: maximizing the alignment precision, maximizing the alignment recall, maximizing the f-measure or reducing the number of false  ...  Acknowledgements This work has been funded by Spanish Ministry of Education & Science through the research projects: A basic infrastructure for development in the Semantic Web and its application to conceptual  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.6974021.v1">doi:10.6084/m9.figshare.6974021.v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m3kq4g4yozgufpotay5qzl7zci">fatcat:m3kq4g4yozgufpotay5qzl7zci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200214073516/https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/12793946/OntologyMatchingGeneticAlgorithms.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/7a/dc7a27c9e8b5b08e298dd1a8e78cad03d14b5120.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.6974021.v1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> figshare.com </button> </a>

Instance-Based Ontology Matching For Open and Distance Learning Materials

Sergio Cerón-Figueroa, Itzamá López-Yáñez, Yenny Villuendas-Rey, Oscar Camacho-Nieto, Mario Aldape-Pérez, Cornelio Yáñez-Márquez
<span title="2017-02-28">2017</span> <i title="Athabasca University Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mrydmshierdtldllbzh22szhfy" style="color: black;">International Review of Research in Open and Distance Learning</a> </i> &nbsp;
The problem of aligning ontologies is known as Ontology Matching Problem (OMP), whose solution is modeled in this paper as a binary pattern classification problem.  ...  The solution proposed here allows the alignment of two different ontologies —both in the Learning Objects Metadata (LOM) format— into a single ontology of LOs for ODL in LOM format, without redundant objects  ...  Acknowledgements The authors would like to thank the Instituto Politécnico Nacional (Secretaría Académica, COFAA, SIP, CIDETEC, and CIC), the CONACyT and SNI for their economical support to develop this  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19173/irrodl.v18i1.2681">doi:10.19173/irrodl.v18i1.2681</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xu3tlnf4vzfolibxya3gj6mzaq">fatcat:xu3tlnf4vzfolibxya3gj6mzaq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200711192926/https://files.eric.ed.gov/fulltext/EJ1136102.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/50/fa505bb7b7f4785366d3b7b7e4f87896cd6ccd7b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19173/irrodl.v18i1.2681"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

ProGOMap: Automatic Generation of Mappings from Property Graphs to Ontologies

Naglaa Fathy, Walaa Gad, Nagwa Badr, Mohamed Hashem
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Another algorithm is proposed to align object properties between the two ontologies considering different modelling criteria. Finally, mappings are generated from alignment results.  ...  In [15] , three models were proposed to represent key/value properties of property graph edges in RDF. These models were based on named graphs, extended reification, and sub properties, respectively.  ...  Structural heterogeneity challenges are addressed by proposing an ontology learning algorithm to infer class hierarchies from the PG model, and an ontology alignment algorithm for object properties considering  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3104293">doi:10.1109/access.2021.3104293</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ksncykpuwzahtf55azug6miqbm">fatcat:ksncykpuwzahtf55azug6miqbm</a> </span>
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Progress Towards an Ontology Mapping Service [article]

Ian Harrow, Martin Romacker, Andrea Splendiani, Peter Woollard, Tom Plasterer, Rainer Winnenburg, Scott Markel, Siddharth Mehta, Chris Piddington, Yasmin Alam-Faruque, Rama Balakrishnan, Jane Lomax (+7 others)
<span title="2018-12-12">2018</span> <i title="Figshare"> Figshare </i> &nbsp;
The Ontologies Mapping Project [1] was established in 2016 to enable better tools and services for mapping between ontologies and to establish best practices for ontology management in the Life Sciences  ...  The project is now focussed on the development of an ontology mapping service (OMS).  ...  Interface • Visualisation of ontological space • Mapping Alignment Editor Framework • Workflow and Evaluation • Ontology Matching algorithms API Ontologies Mapping Tool Import  ... 
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Large Scale Graph Matching(LSGM): Techniques, Tools, Applications and Challenges

Azka Mahmood, Hina Farooq, Javed Ferzund
<span title="">2017</span> <i title="The Science and Information Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2yzw5hsmlfa6bkafwsibbudu64" style="color: black;">International Journal of Advanced Computer Science and Applications</a> </i> &nbsp;
Large Scale Graph Matching (LSGM) is one of the fundamental problems in Graph theory and it has applications in many areas such as Computer Vision, Machine Learning, Pattern Recognition and Big Data Analytics  ...  The aim is to present the current state of the art in Large Scale Graph Matching (LSGM), a systematic review of algorithms, tools and techniques along with the existing challenges of LSGM.  ...  As first dimension, data/conceptual model representation (either schema or ontology) can be considered as an input for algorithm.  ... 
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Evaluation of Two Heuristic Approaches to Solve the Ontology Meta-Matching Problem

Jorge Martinez
<span title="2017-11-20">2017</span> <i title="Figshare"> Figshare </i> &nbsp;
The second approach is called genetics for ontology alignments and is based on a genetic algorithm which scales better for a large number of atomic matching algorithms in the composite algorithm and is  ...  In this sense, we propose two approaches to automatically solve the ontology meta-matching problem.  ...  We thank Enrique Alba for his comments in relation to the approach based on Genetic Algorithms.  ... 
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