RAN-Map: a system for automatically producing API layers from RDF schemas
Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of produci...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Toti, Daniele [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2016 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of ambient intelligence and humanized computing - Berlin : Springer, 2010, 8(2016), 2 vom: 19. Juli, Seite 291-299 |
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| Übergeordnetes Werk: |
volume:8 ; year:2016 ; number:2 ; day:19 ; month:07 ; pages:291-299 |
| Links: |
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| DOI / URN: |
10.1007/s12652-016-0394-z |
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| Katalog-ID: |
SPR026592762 |
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| 520 | |a Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data. | ||
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| 650 | 4 | |a Software |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Triplestore |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a RDF |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a SPARQL |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Rinelli, Marco |4 aut | |
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10.1007/s12652-016-0394-z doi (DE-627)SPR026592762 (SPR)s12652-016-0394-z-e DE-627 ger DE-627 rakwb eng Toti, Daniele verfasserin (orcid)0000-0002-9668-6961 aut RAN-Map: a system for automatically producing API layers from RDF schemas 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data. Semantic framework (dpeaa)DE-He213 Abstraction layer (dpeaa)DE-He213 Application programming interface (dpeaa)DE-He213 Object-oriented paradigm (dpeaa)DE-He213 Mapping (dpeaa)DE-He213 Middleware (dpeaa)DE-He213 Software (dpeaa)DE-He213 Software engineering (dpeaa)DE-He213 Triplestore (dpeaa)DE-He213 Ontology (dpeaa)DE-He213 RDF (dpeaa)DE-He213 SPARQL (dpeaa)DE-He213 Rinelli, Marco aut Enthalten in Journal of ambient intelligence and humanized computing Berlin : Springer, 2010 8(2016), 2 vom: 19. Juli, Seite 291-299 (DE-627)620775734 (DE-600)2543187-0 1868-5145 nnns volume:8 year:2016 number:2 day:19 month:07 pages:291-299 https://dx.doi.org/10.1007/s12652-016-0394-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 19 07 291-299 |
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10.1007/s12652-016-0394-z doi (DE-627)SPR026592762 (SPR)s12652-016-0394-z-e DE-627 ger DE-627 rakwb eng Toti, Daniele verfasserin (orcid)0000-0002-9668-6961 aut RAN-Map: a system for automatically producing API layers from RDF schemas 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data. Semantic framework (dpeaa)DE-He213 Abstraction layer (dpeaa)DE-He213 Application programming interface (dpeaa)DE-He213 Object-oriented paradigm (dpeaa)DE-He213 Mapping (dpeaa)DE-He213 Middleware (dpeaa)DE-He213 Software (dpeaa)DE-He213 Software engineering (dpeaa)DE-He213 Triplestore (dpeaa)DE-He213 Ontology (dpeaa)DE-He213 RDF (dpeaa)DE-He213 SPARQL (dpeaa)DE-He213 Rinelli, Marco aut Enthalten in Journal of ambient intelligence and humanized computing Berlin : Springer, 2010 8(2016), 2 vom: 19. Juli, Seite 291-299 (DE-627)620775734 (DE-600)2543187-0 1868-5145 nnns volume:8 year:2016 number:2 day:19 month:07 pages:291-299 https://dx.doi.org/10.1007/s12652-016-0394-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 19 07 291-299 |
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10.1007/s12652-016-0394-z doi (DE-627)SPR026592762 (SPR)s12652-016-0394-z-e DE-627 ger DE-627 rakwb eng Toti, Daniele verfasserin (orcid)0000-0002-9668-6961 aut RAN-Map: a system for automatically producing API layers from RDF schemas 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data. Semantic framework (dpeaa)DE-He213 Abstraction layer (dpeaa)DE-He213 Application programming interface (dpeaa)DE-He213 Object-oriented paradigm (dpeaa)DE-He213 Mapping (dpeaa)DE-He213 Middleware (dpeaa)DE-He213 Software (dpeaa)DE-He213 Software engineering (dpeaa)DE-He213 Triplestore (dpeaa)DE-He213 Ontology (dpeaa)DE-He213 RDF (dpeaa)DE-He213 SPARQL (dpeaa)DE-He213 Rinelli, Marco aut Enthalten in Journal of ambient intelligence and humanized computing Berlin : Springer, 2010 8(2016), 2 vom: 19. Juli, Seite 291-299 (DE-627)620775734 (DE-600)2543187-0 1868-5145 nnns volume:8 year:2016 number:2 day:19 month:07 pages:291-299 https://dx.doi.org/10.1007/s12652-016-0394-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 19 07 291-299 |
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10.1007/s12652-016-0394-z doi (DE-627)SPR026592762 (SPR)s12652-016-0394-z-e DE-627 ger DE-627 rakwb eng Toti, Daniele verfasserin (orcid)0000-0002-9668-6961 aut RAN-Map: a system for automatically producing API layers from RDF schemas 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data. Semantic framework (dpeaa)DE-He213 Abstraction layer (dpeaa)DE-He213 Application programming interface (dpeaa)DE-He213 Object-oriented paradigm (dpeaa)DE-He213 Mapping (dpeaa)DE-He213 Middleware (dpeaa)DE-He213 Software (dpeaa)DE-He213 Software engineering (dpeaa)DE-He213 Triplestore (dpeaa)DE-He213 Ontology (dpeaa)DE-He213 RDF (dpeaa)DE-He213 SPARQL (dpeaa)DE-He213 Rinelli, Marco aut Enthalten in Journal of ambient intelligence and humanized computing Berlin : Springer, 2010 8(2016), 2 vom: 19. Juli, Seite 291-299 (DE-627)620775734 (DE-600)2543187-0 1868-5145 nnns volume:8 year:2016 number:2 day:19 month:07 pages:291-299 https://dx.doi.org/10.1007/s12652-016-0394-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 19 07 291-299 |
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The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Semantic framework</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Abstraction layer</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application programming interface</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Object-oriented paradigm</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mapping</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Middleware</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Software</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Software engineering</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Triplestore</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ontology</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">RDF</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">SPARQL</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rinelli, Marco</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of ambient intelligence and humanized computing</subfield><subfield code="d">Berlin : Springer, 2010</subfield><subfield code="g">8(2016), 2 vom: 19. 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RAN-Map: a system for automatically producing API layers from RDF schemas Semantic framework (dpeaa)DE-He213 Abstraction layer (dpeaa)DE-He213 Application programming interface (dpeaa)DE-He213 Object-oriented paradigm (dpeaa)DE-He213 Mapping (dpeaa)DE-He213 Middleware (dpeaa)DE-He213 Software (dpeaa)DE-He213 Software engineering (dpeaa)DE-He213 Triplestore (dpeaa)DE-He213 Ontology (dpeaa)DE-He213 RDF (dpeaa)DE-He213 SPARQL (dpeaa)DE-He213 |
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RAN-Map: a system for automatically producing API layers from RDF schemas |
| abstract |
Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data. © Springer-Verlag Berlin Heidelberg 2016 |
| abstractGer |
Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data. © Springer-Verlag Berlin Heidelberg 2016 |
| abstract_unstemmed |
Abstract This work describes a system for the automatic generation of full-fledged API layers from RDF schemas, providing the whole set of Object-Oriented functionalities to retrieve, store, edit and delete the corresponding data in a semantic Triplestore. The layers the system is capable of producing range from an underlying domain model, resulting from the classes, data properties and object properties of the input schema, to the related lower-level data source and access components, up to higher-level facades and web service interfaces, all of which are immediately operational and can be used out-of-the-box for development purposes either as stand-alone components or integrated into external applications. A user-friendly graphical interface allows for an easy configuration and customization of the generation process to suit specific development needs. Once configured, the execution of the generation process takes place almost instantaneously, bringing about a full set of API components in a matter of seconds and thus dramatically saving design and development time and effort. Experimentation of the system has been carried out within the context of a EU-funded research project featuring a large semantic schema, a significant portion of which represented a Learning Model specifically engineered to be used for a plethora of e-learning solutions; nevertheless, the system is generic enough to be employed for a variety of applications relying upon semantic schemas and data. © Springer-Verlag Berlin Heidelberg 2016 |
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| container_issue |
2 |
| title_short |
RAN-Map: a system for automatically producing API layers from RDF schemas |
| url |
https://dx.doi.org/10.1007/s12652-016-0394-z |
| remote_bool |
true |
| author2 |
Rinelli, Marco |
| author2Str |
Rinelli, Marco |
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| doi_str |
10.1007/s12652-016-0394-z |
| up_date |
2024-07-03T21:44:04.660Z |
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| score |
7.400449 |