Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network
In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their ow...
Ausführliche Beschreibung
Autor*in: |
Huayou Si [verfasserIn] Yajie Qi [verfasserIn] Meilian Zheng [verfasserIn] Yongjian Ren [verfasserIn] Lifeng Yu [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Übergeordnetes Werk: |
In: International Journal of Distributed Sensor Networks - SAGE Publishing, 2011, 14(2018) |
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Übergeordnetes Werk: |
volume:14 ; year:2018 |
Links: |
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DOI / URN: |
10.1177/1550147718797581 |
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Katalog-ID: |
DOAJ027876861 |
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10.1177/1550147718797581 doi (DE-627)DOAJ027876861 (DE-599)DOAJf8cab2ab9f424f31b9fb7ef4a0829057 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Huayou Si verfasserin aut Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient. Electronic computers. Computer science Yajie Qi verfasserin aut Meilian Zheng verfasserin aut Yongjian Ren verfasserin aut Lifeng Yu verfasserin aut In International Journal of Distributed Sensor Networks SAGE Publishing, 2011 14(2018) (DE-627)490718124 (DE-600)2192922-1 15501477 nnns volume:14 year:2018 https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/article/f8cab2ab9f424f31b9fb7ef4a0829057 kostenfrei https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/toc/1550-1477 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2119 GBV_ILN_2706 GBV_ILN_2707 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2018 |
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10.1177/1550147718797581 doi (DE-627)DOAJ027876861 (DE-599)DOAJf8cab2ab9f424f31b9fb7ef4a0829057 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Huayou Si verfasserin aut Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient. Electronic computers. Computer science Yajie Qi verfasserin aut Meilian Zheng verfasserin aut Yongjian Ren verfasserin aut Lifeng Yu verfasserin aut In International Journal of Distributed Sensor Networks SAGE Publishing, 2011 14(2018) (DE-627)490718124 (DE-600)2192922-1 15501477 nnns volume:14 year:2018 https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/article/f8cab2ab9f424f31b9fb7ef4a0829057 kostenfrei https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/toc/1550-1477 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2119 GBV_ILN_2706 GBV_ILN_2707 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2018 |
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10.1177/1550147718797581 doi (DE-627)DOAJ027876861 (DE-599)DOAJf8cab2ab9f424f31b9fb7ef4a0829057 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Huayou Si verfasserin aut Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient. Electronic computers. Computer science Yajie Qi verfasserin aut Meilian Zheng verfasserin aut Yongjian Ren verfasserin aut Lifeng Yu verfasserin aut In International Journal of Distributed Sensor Networks SAGE Publishing, 2011 14(2018) (DE-627)490718124 (DE-600)2192922-1 15501477 nnns volume:14 year:2018 https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/article/f8cab2ab9f424f31b9fb7ef4a0829057 kostenfrei https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/toc/1550-1477 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2119 GBV_ILN_2706 GBV_ILN_2707 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2018 |
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10.1177/1550147718797581 doi (DE-627)DOAJ027876861 (DE-599)DOAJf8cab2ab9f424f31b9fb7ef4a0829057 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Huayou Si verfasserin aut Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient. Electronic computers. Computer science Yajie Qi verfasserin aut Meilian Zheng verfasserin aut Yongjian Ren verfasserin aut Lifeng Yu verfasserin aut In International Journal of Distributed Sensor Networks SAGE Publishing, 2011 14(2018) (DE-627)490718124 (DE-600)2192922-1 15501477 nnns volume:14 year:2018 https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/article/f8cab2ab9f424f31b9fb7ef4a0829057 kostenfrei https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/toc/1550-1477 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2119 GBV_ILN_2706 GBV_ILN_2707 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2018 |
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10.1177/1550147718797581 doi (DE-627)DOAJ027876861 (DE-599)DOAJf8cab2ab9f424f31b9fb7ef4a0829057 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Huayou Si verfasserin aut Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient. Electronic computers. Computer science Yajie Qi verfasserin aut Meilian Zheng verfasserin aut Yongjian Ren verfasserin aut Lifeng Yu verfasserin aut In International Journal of Distributed Sensor Networks SAGE Publishing, 2011 14(2018) (DE-627)490718124 (DE-600)2192922-1 15501477 nnns volume:14 year:2018 https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/article/f8cab2ab9f424f31b9fb7ef4a0829057 kostenfrei https://doi.org/10.1177/1550147718797581 kostenfrei https://doaj.org/toc/1550-1477 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2119 GBV_ILN_2706 GBV_ILN_2707 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2018 |
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Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network |
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In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient. |
abstractGer |
In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient. |
abstract_unstemmed |
In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient. |
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Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network |
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