Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare
Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards...
Gespeichert in:
Veröffentlicht in: | Wireless communications and mobile computing 2017-01, Vol.2017 (2017), p.1-10 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 10 |
---|---|
container_issue | 2017 |
container_start_page | 1 |
container_title | Wireless communications and mobile computing |
container_volume | 2017 |
creator | Khan, Murad Khalid, Shehzad Ullah, Farhan Jabbar, Sohail Han, Kijun |
description | Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM) to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF) is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools. |
doi_str_mv | 10.1155/2017/9731806 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2407628158</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2407628158</sourcerecordid><originalsourceid>FETCH-LOGICAL-c360t-efe2beb7dff926e29ccbcf5d880a3e4927e3caa00d7bf61afee61e514ab51f6f3</originalsourceid><addsrcrecordid>eNqF0E1LAzEQBuAgCtbqzbMseNS1-WiS3aOI2kLBg_UcstmJTWk3Ncki_fembNGjpxlmHmbgReia4AdCOJ9QTOSkloxUWJygEeEMl5WQ8vS3F_U5uohxjTFmmJIRWrzDVnfJmWLeJQh-B0E3buPSvnBdMYPD7BM68H0s5n6ZlQ06ptCb1AcorA8Z6U1aGR3gEp1ZvYlwdaxj9PHyvHyalYu31_nT46I0TOBUggXaQCNba2sqgNbGNMbytqqwZjCtqQRmtMa4lY0VRFsAQYCTqW44scKyMbod7u6C_-ohJrX2fejyS0WnWApaEV5ldT8oE3yMAazaBbfVYa8IVoe81CEvdcwr87uBr1zX6m_3n74ZdI4vn9Z_muatlOwHUdt18g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2407628158</pqid></control><display><type>article</type><title>Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare</title><source>EZB-FREE-00999 freely available EZB journals</source><source>Wiley Online Library (Open Access Collection)</source><source>Alma/SFX Local Collection</source><creator>Khan, Murad ; Khalid, Shehzad ; Ullah, Farhan ; Jabbar, Sohail ; Han, Kijun</creator><contributor>Miyanaga, Yoshikazu ; Yoshikazu Miyanaga</contributor><creatorcontrib>Khan, Murad ; Khalid, Shehzad ; Ullah, Farhan ; Jabbar, Sohail ; Han, Kijun ; Miyanaga, Yoshikazu ; Yoshikazu Miyanaga</creatorcontrib><description>Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM) to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF) is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2017/9731806</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Algorithms ; Annotations ; Collaboration ; Computer simulation ; Electronic devices ; Health care ; Internet access ; Internet of Things ; Interoperability ; Linked Data ; Literature reviews ; Ontology ; Patients ; Physicians ; Protocol (computers) ; Resource Description Framework-RDF ; Semantic web ; Semantics ; Smart cities ; Software</subject><ispartof>Wireless communications and mobile computing, 2017-01, Vol.2017 (2017), p.1-10</ispartof><rights>Copyright © 2017 Sohail Jabbar et al.</rights><rights>Copyright © 2017 Sohail Jabbar et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-efe2beb7dff926e29ccbcf5d880a3e4927e3caa00d7bf61afee61e514ab51f6f3</citedby><cites>FETCH-LOGICAL-c360t-efe2beb7dff926e29ccbcf5d880a3e4927e3caa00d7bf61afee61e514ab51f6f3</cites><orcidid>0000-0003-0899-7354 ; 0000-0002-2127-1235 ; 0000-0003-2422-575X ; 0000-0002-3520-6194 ; 0000-0003-0061-0557</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Miyanaga, Yoshikazu</contributor><contributor>Yoshikazu Miyanaga</contributor><creatorcontrib>Khan, Murad</creatorcontrib><creatorcontrib>Khalid, Shehzad</creatorcontrib><creatorcontrib>Ullah, Farhan</creatorcontrib><creatorcontrib>Jabbar, Sohail</creatorcontrib><creatorcontrib>Han, Kijun</creatorcontrib><title>Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare</title><title>Wireless communications and mobile computing</title><description>Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM) to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF) is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools.</description><subject>Algorithms</subject><subject>Annotations</subject><subject>Collaboration</subject><subject>Computer simulation</subject><subject>Electronic devices</subject><subject>Health care</subject><subject>Internet access</subject><subject>Internet of Things</subject><subject>Interoperability</subject><subject>Linked Data</subject><subject>Literature reviews</subject><subject>Ontology</subject><subject>Patients</subject><subject>Physicians</subject><subject>Protocol (computers)</subject><subject>Resource Description Framework-RDF</subject><subject>Semantic web</subject><subject>Semantics</subject><subject>Smart cities</subject><subject>Software</subject><issn>1530-8669</issn><issn>1530-8677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqF0E1LAzEQBuAgCtbqzbMseNS1-WiS3aOI2kLBg_UcstmJTWk3Ncki_fembNGjpxlmHmbgReia4AdCOJ9QTOSkloxUWJygEeEMl5WQ8vS3F_U5uohxjTFmmJIRWrzDVnfJmWLeJQh-B0E3buPSvnBdMYPD7BM68H0s5n6ZlQ06ptCb1AcorA8Z6U1aGR3gEp1ZvYlwdaxj9PHyvHyalYu31_nT46I0TOBUggXaQCNba2sqgNbGNMbytqqwZjCtqQRmtMa4lY0VRFsAQYCTqW44scKyMbod7u6C_-ohJrX2fejyS0WnWApaEV5ldT8oE3yMAazaBbfVYa8IVoe81CEvdcwr87uBr1zX6m_3n74ZdI4vn9Z_muatlOwHUdt18g</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Khan, Murad</creator><creator>Khalid, Shehzad</creator><creator>Ullah, Farhan</creator><creator>Jabbar, Sohail</creator><creator>Han, Kijun</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-0899-7354</orcidid><orcidid>https://orcid.org/0000-0002-2127-1235</orcidid><orcidid>https://orcid.org/0000-0003-2422-575X</orcidid><orcidid>https://orcid.org/0000-0002-3520-6194</orcidid><orcidid>https://orcid.org/0000-0003-0061-0557</orcidid></search><sort><creationdate>20170101</creationdate><title>Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare</title><author>Khan, Murad ; Khalid, Shehzad ; Ullah, Farhan ; Jabbar, Sohail ; Han, Kijun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-efe2beb7dff926e29ccbcf5d880a3e4927e3caa00d7bf61afee61e514ab51f6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Annotations</topic><topic>Collaboration</topic><topic>Computer simulation</topic><topic>Electronic devices</topic><topic>Health care</topic><topic>Internet access</topic><topic>Internet of Things</topic><topic>Interoperability</topic><topic>Linked Data</topic><topic>Literature reviews</topic><topic>Ontology</topic><topic>Patients</topic><topic>Physicians</topic><topic>Protocol (computers)</topic><topic>Resource Description Framework-RDF</topic><topic>Semantic web</topic><topic>Semantics</topic><topic>Smart cities</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khan, Murad</creatorcontrib><creatorcontrib>Khalid, Shehzad</creatorcontrib><creatorcontrib>Ullah, Farhan</creatorcontrib><creatorcontrib>Jabbar, Sohail</creatorcontrib><creatorcontrib>Han, Kijun</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Wireless communications and mobile computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khan, Murad</au><au>Khalid, Shehzad</au><au>Ullah, Farhan</au><au>Jabbar, Sohail</au><au>Han, Kijun</au><au>Miyanaga, Yoshikazu</au><au>Yoshikazu Miyanaga</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare</atitle><jtitle>Wireless communications and mobile computing</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>2017</volume><issue>2017</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1530-8669</issn><eissn>1530-8677</eissn><abstract>Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM) to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF) is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2017/9731806</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-0899-7354</orcidid><orcidid>https://orcid.org/0000-0002-2127-1235</orcidid><orcidid>https://orcid.org/0000-0003-2422-575X</orcidid><orcidid>https://orcid.org/0000-0002-3520-6194</orcidid><orcidid>https://orcid.org/0000-0003-0061-0557</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1530-8669 |
ispartof | Wireless communications and mobile computing, 2017-01, Vol.2017 (2017), p.1-10 |
issn | 1530-8669 1530-8677 |
language | eng |
recordid | cdi_proquest_journals_2407628158 |
source | EZB-FREE-00999 freely available EZB journals; Wiley Online Library (Open Access Collection); Alma/SFX Local Collection |
subjects | Algorithms Annotations Collaboration Computer simulation Electronic devices Health care Internet access Internet of Things Interoperability Linked Data Literature reviews Ontology Patients Physicians Protocol (computers) Resource Description Framework-RDF Semantic web Semantics Smart cities Software |
title | Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T18%3A11%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Semantic%20Interoperability%20in%20Heterogeneous%20IoT%20Infrastructure%20for%20Healthcare&rft.jtitle=Wireless%20communications%20and%20mobile%20computing&rft.au=Khan,%20Murad&rft.date=2017-01-01&rft.volume=2017&rft.issue=2017&rft.spage=1&rft.epage=10&rft.pages=1-10&rft.issn=1530-8669&rft.eissn=1530-8677&rft_id=info:doi/10.1155/2017/9731806&rft_dat=%3Cproquest_cross%3E2407628158%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2407628158&rft_id=info:pmid/&rfr_iscdi=true |