Ontology:Music Ontology - Revision history

MichaelUschold at 23:05, 5 March 2010

2010-03-05T23:05:37Z

EnricoDaga at 16:31, 3 March 2010

2010-03-03T16:31:15Z

MichaelUschold at 23:25, 19 February 2010

2010-02-19T23:25:54Z

MichaelUschold at 23:24, 19 February 2010

2010-02-19T23:24:42Z

MichaelUschold at 23:23, 19 February 2010

2010-02-19T23:23:12Z

MichaelUschold at 06:00, 19 February 2010

2010-02-19T06:00:46Z

FrancoisScharffe at 07:27, 17 February 2010

2010-02-17T07:27:59Z

FrancoisScharffe: New page: {{Ontology |Name=Music Ontology |OntologyAuthor=Yeves Raimond, Frederick Giasson |Description=The Music Ontology Specification provides main concepts and properties for describing music (i...

2010-02-17T07:27:06Z

New page: {{Ontology |Name=Music Ontology |OntologyAuthor=Yeves Raimond, Frederick Giasson |Description=The Music Ontology Specification provides main concepts and properties for describing music (i...

New page

{{Ontology
|Name=Music Ontology
|OntologyAuthor=Yeves Raimond, Frederick Giasson
|Description=The Music Ontology Specification provides main concepts and properties for describing music (i.e. artists, albums, tracks, but also performances, arrangements, etc.) on the Semantic Web. This document contains a detailed description of the Music Ontology.
|SubmittedBy=FrancoisScharffe
|OntologyPurpose=Describing music
|OWLImplementation=http://www.musicontology.com/
|Justification=Had many revisions, is widely used (see the linked data cloud).
|RecommendedBy=François Scharffe
|Domain=Music
}}

@@ Line 21: / Line 21: @@
 |OntologyDomain=Music,
 |OntologyLicensing=Creative Commons Attribution Share-Alike
 }}
 {{My references}}

@@ Line 17: / Line 17: @@
 We develop a formal ontology for the music domain. This ontology allows us to publish and interlink a wide range of structured music-related data on the Web. We develop an ontology evaluation methodology and use it to evaluate our music ontology. We develop a knowledge representation framework for combining structured web data and analysis tools to derive more information. We apply these different technologies to publish a large amount of pre-existing music-related datasets on the Web. We develop an algorithm to automatically relate such datasets among each other. We create automated music-related Semantic Web agents, able to aggregate musical resources, structured web data and music processing tools to derive and publish new information. Finally, we describe three of our applications using this distributed information environment. These applications deal with personal collection management, enhanced access to large audio streams available on the Web and music recommendation.
 |Justification=Had many revisions, is widely used (see the linked data cloud). An evaluation methodology was developed and used it to evaluate the music ontology. Various applications were built; dealing with deal with personal collection management, enhanced access to large audio streams available on the Web and music recommendation.
 |RecommendedBy=François Scharffe
@@ Line 26: / Line 24: @@
 |OtherReference=http://moustaki.org/phd/,
 }}

@@ Line 8: / Line 8: @@
 |OntologyURI=http://motools.sourceforge.net/doc/musicontology.rdfs
 |LongDescription=The following material is taken from: http://moustaki.org/phd/
 Information management is an important part of music technologies today, covering the man- agement of public and personal collections, the construction of large editorial databases and the storage of music analysis results. The information management solutions that have emerged for these use-cases are still isolated from each other. The information one of these solutions manages does not benefit from the information another holds.
 In this thesis, we develop a distributed music information system that aims at gathering music- related information held by multiple databases or applications. To this end, we use Semantic Web technologies to create a unified information environment. Web identifiers correspond to any items in the music domain: performance, artist, musical work, etc. These web identifiers have structured representations permitting sophisticated reuse by applications, and these representations can quote other web identifiers leading to more information.
 We develop a formal ontology for the music domain. This ontology allows us to publish and interlink a wide range of structured music-related data on the Web. We develop an ontology evaluation methodology and use it to evaluate our music ontology. We develop a knowledge representation framework for combining structured web data and analysis tools to derive more information. We apply these different technologies to publish a large amount of pre-existing music-related datasets on the Web. We develop an algorithm to automatically relate such datasets among each other. We create automated music-related Semantic Web agents, able to aggregate musical resources, structured web data and music processing tools to derive and publish new information. Finally, we describe three of our applications using this distributed information environment. These applications deal with personal collection management, enhanced access to large audio streams available on the Web and music recommendation.
 |Justification=Had many revisions, is widely used (see the linked data cloud). An evaluation methodology was developed and used it to evaluate the music ontology. Various applications were built; dealing with deal with personal collection management, enhanced access to large audio streams available on the Web and music recommendation.
 |RecommendedBy=François Scharffe
 |OntologyDomain=Music,
 |OntologyLicensing=Creative Commons Attribution Share-Alike
 |WebReference=http://musicontology.com/, http://wiki.musicontology.com/index.php/Main_Page
 |OtherReference=http://moustaki.org/phd/,
 }}

@@ Line 7: / Line 7: @@
 |OntologyPurpose=To publish and interlink a wide range of structured music-related data on the Web. The music ontology is used as an interlingua to facilitate interoperability among different music data sources.
 |OntologyURI=http://motools.sourceforge.net/doc/musicontology.rdfs
 |Justification=Had many revisions, is widely used (see the linked data cloud). An evaluation methodology was developed and used it to evaluate the music ontology. Various applications were built; dealing with deal with personal collection management, enhanced access to large audio streams available on the Web and music recommendation.
 |RecommendedBy=François Scharffe
 |OntologyLicensing=Creative Commons Attribution Share-Alike
 |WebReference=http://musicontology.com/, http://wiki.musicontology.com/index.php/Main_Page
 |OtherReference=http://moustaki.org/phd/,
 }}

@@ Line 1: / Line 1: @@
 {{Ontology
 |Name=Music Ontology
 |OntologyAuthor=Yeves Raimond, Frederick Giasson
 |Description=The Music Ontology Specification provides main concepts and properties for describing music (i.e. artists, albums, tracks, but also performances, arrangements, etc.) on the Semantic Web.
 |SubmittedBy=FrancoisScharffe
-|OntologyPurpose=Describing music
+|OntologyPurpose=To publish and interlink a wide range of structured music-related data on the Web. The music ontology is used as an interlingua to facilitate interoperability among different music data sources.
 |OntologyURI=http://motools.sourceforge.net/doc/musicontology.rdfs
-|Justification=Had many revisions, is widely used (see the linked data cloud).
+|Justification=Had many revisions, is widely used (see the linked data cloud). An evaluation methodology was developed and used it to evaluate the music ontology. Various applications were built; dealing with deal with personal collection management, enhanced access to large audio streams available on the Web and music recommendation.
 |RecommendedBy=François Scharffe
-|OntologyLicensing=Creative Commons License
+|OntologyLicensing=Creative Commons Attribution Share-Alike
 |WebReference=http://musicontology.com/, http://wiki.musicontology.com/index.php/Main_Page
 }}