Hierarchical Organization and Description of Music Collections at the Artist Level View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2005

AUTHORS

Elias Pampalk , Arthur Flexer , Gerhard Widmer

ABSTRACT

As digital music collections grow, so does the need to organizing them automatically. In this paper we present an approach to hierarchically organize music collections at the artist level. Artists are grouped according to similarity which is computed using a web search engine and standard text retrieval techniques. The groups are described by words found on the webpages using term selection techniques and domain knowledge. We compare different term selection techniques, present a simple demonstration, and discuss our findings. More... »

PAGES

37-48

References to SciGraph publications

  • 1992. Script Recognition with Hierarchical Feature Maps in CONNECTIONIST NATURAL LANGUAGE PROCESSING
  • 2001. Self-Organizing Maps in NONE
  • 1999-07. Accessibility of information on the web in NATURE
  • Book

    TITLE

    Research and Advanced Technology for Digital Libraries

    ISBN

    978-3-540-28767-4
    978-3-540-31931-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/11551362_4

    DOI

    http://dx.doi.org/10.1007/11551362_4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1028479271


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Austrian Research Institute for Artificial Intelligence", 
              "id": "https://www.grid.ac/institutes/grid.432019.d", 
              "name": [
                "Austrian Research Institute for Artificial Intelligence, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pampalk", 
            "givenName": "Elias", 
            "id": "sg:person.016522061264.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016522061264.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Medical University of Vienna", 
              "id": "https://www.grid.ac/institutes/grid.22937.3d", 
              "name": [
                "Austrian Research Institute for Artificial Intelligence, Vienna, Austria", 
                "Department of Medical Cybernetics and Artificial Intelligence, Center for Brain Research, Vienna University of Medicine, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Flexer", 
            "givenName": "Arthur", 
            "id": "sg:person.0757053000.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757053000.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Johannes Kepler University of Linz", 
              "id": "https://www.grid.ac/institutes/grid.9970.7", 
              "name": [
                "Austrian Research Institute for Artificial Intelligence, Vienna, Austria", 
                "Department of Computational Perception, Johannes Kepler University, Linz, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Widmer", 
            "givenName": "Gerhard", 
            "id": "sg:person.013641401431.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013641401431.40"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1145/333175.333181", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005183241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-56927-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026330191", 
              "https://doi.org/10.1007/978-3-642-56927-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-56927-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026330191", 
              "https://doi.org/10.1007/978-3-642-56927-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/09540099008915664", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030099796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0306-4573(88)90021-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032478827"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0306-4573(88)90021-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032478827"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/21987", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034820983", 
              "https://doi.org/10.1038/21987"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-2624-3_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044187313", 
              "https://doi.org/10.1007/978-94-011-2624-3_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-2624-3_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044187313", 
              "https://doi.org/10.1007/978-94-011-2624-3_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/641007.641121", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044438630"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ijcnn.1990.137727", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086353606"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ijcnn.1999.836235", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093729798"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/wdm.2001.990164", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094150372"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/wdm.2003.1233887", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094924620"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ijcnn.2000.859366", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095374972"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icme.2004.1394328", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095464212"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1049/cp:19991137", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098689762"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2005", 
        "datePublishedReg": "2005-01-01", 
        "description": "As digital music collections grow, so does the need to organizing them automatically. In this paper we present an approach to hierarchically organize music collections at the artist level. Artists are grouped according to similarity which is computed using a web search engine and standard text retrieval techniques. The groups are described by words found on the webpages using term selection techniques and domain knowledge. We compare different term selection techniques, present a simple demonstration, and discuss our findings.", 
        "editor": [
          {
            "familyName": "Rauber", 
            "givenName": "Andreas", 
            "type": "Person"
          }, 
          {
            "familyName": "Christodoulakis", 
            "givenName": "Stavros", 
            "type": "Person"
          }, 
          {
            "familyName": "Tjoa", 
            "givenName": "A Min", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/11551362_4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": {
          "isbn": [
            "978-3-540-28767-4", 
            "978-3-540-31931-3"
          ], 
          "name": "Research and Advanced Technology for Digital Libraries", 
          "type": "Book"
        }, 
        "name": "Hierarchical Organization and Description of Music Collections at the Artist Level", 
        "pagination": "37-48", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1028479271"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/11551362_4"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "87aaf9f859337dc6c8fd180b76ac655b803ab5456147f67630f1c32f848a8eae"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/11551362_4", 
          "https://app.dimensions.ai/details/publication/pub.1028479271"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T08:09", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000360_0000000360/records_118335_00000000.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F11551362_4"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/11551362_4'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/11551362_4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/11551362_4'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/11551362_4'


     

    This table displays all metadata directly associated to this object as RDF triples.

    142 TRIPLES      23 PREDICATES      41 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/11551362_4 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N273e7c0cec654e269f4151fd9b2e9a30
    4 schema:citation sg:pub.10.1007/978-3-642-56927-2
    5 sg:pub.10.1007/978-94-011-2624-3_10
    6 sg:pub.10.1038/21987
    7 https://doi.org/10.1016/0306-4573(88)90021-0
    8 https://doi.org/10.1049/cp:19991137
    9 https://doi.org/10.1080/09540099008915664
    10 https://doi.org/10.1109/icme.2004.1394328
    11 https://doi.org/10.1109/ijcnn.1990.137727
    12 https://doi.org/10.1109/ijcnn.1999.836235
    13 https://doi.org/10.1109/ijcnn.2000.859366
    14 https://doi.org/10.1109/wdm.2001.990164
    15 https://doi.org/10.1109/wdm.2003.1233887
    16 https://doi.org/10.1145/333175.333181
    17 https://doi.org/10.1145/641007.641121
    18 schema:datePublished 2005
    19 schema:datePublishedReg 2005-01-01
    20 schema:description As digital music collections grow, so does the need to organizing them automatically. In this paper we present an approach to hierarchically organize music collections at the artist level. Artists are grouped according to similarity which is computed using a web search engine and standard text retrieval techniques. The groups are described by words found on the webpages using term selection techniques and domain knowledge. We compare different term selection techniques, present a simple demonstration, and discuss our findings.
    21 schema:editor Nc98dc8b3b1674142b13d53e3b5833d78
    22 schema:genre chapter
    23 schema:inLanguage en
    24 schema:isAccessibleForFree true
    25 schema:isPartOf N27512f16fe20436987fd5961d7653ba6
    26 schema:name Hierarchical Organization and Description of Music Collections at the Artist Level
    27 schema:pagination 37-48
    28 schema:productId N280916472eca40ebbb327068fbbd80b2
    29 N3f656fd7b5f64fbab3196653d9e4eb81
    30 Ncb7bfccce9e14110bebab46b8de50dc5
    31 schema:publisher N426f8305523b45c7b8a4e48159384e55
    32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028479271
    33 https://doi.org/10.1007/11551362_4
    34 schema:sdDatePublished 2019-04-16T08:09
    35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    36 schema:sdPublisher Nb0199e765ec7467380eddc7fcd5f6328
    37 schema:url https://link.springer.com/10.1007%2F11551362_4
    38 sgo:license sg:explorer/license/
    39 sgo:sdDataset chapters
    40 rdf:type schema:Chapter
    41 N16107c6056f64c0ea0d7d711780c0ddf rdf:first sg:person.0757053000.20
    42 rdf:rest N7750cbc1c95d443189fd7872aed76eff
    43 N169e92194dfd4a558ea7dbd535c2b29d schema:familyName Tjoa
    44 schema:givenName A Min
    45 rdf:type schema:Person
    46 N273e7c0cec654e269f4151fd9b2e9a30 rdf:first sg:person.016522061264.27
    47 rdf:rest N16107c6056f64c0ea0d7d711780c0ddf
    48 N27512f16fe20436987fd5961d7653ba6 schema:isbn 978-3-540-28767-4
    49 978-3-540-31931-3
    50 schema:name Research and Advanced Technology for Digital Libraries
    51 rdf:type schema:Book
    52 N280916472eca40ebbb327068fbbd80b2 schema:name dimensions_id
    53 schema:value pub.1028479271
    54 rdf:type schema:PropertyValue
    55 N3f656fd7b5f64fbab3196653d9e4eb81 schema:name readcube_id
    56 schema:value 87aaf9f859337dc6c8fd180b76ac655b803ab5456147f67630f1c32f848a8eae
    57 rdf:type schema:PropertyValue
    58 N426f8305523b45c7b8a4e48159384e55 schema:location Berlin, Heidelberg
    59 schema:name Springer Berlin Heidelberg
    60 rdf:type schema:Organisation
    61 N501bc82a6020495c966926f9edd0bcda schema:familyName Christodoulakis
    62 schema:givenName Stavros
    63 rdf:type schema:Person
    64 N724a177a4f6d446880d2974eceddd04f rdf:first N501bc82a6020495c966926f9edd0bcda
    65 rdf:rest N75b789f37ad94254bdf10fafc83eb52e
    66 N75b789f37ad94254bdf10fafc83eb52e rdf:first N169e92194dfd4a558ea7dbd535c2b29d
    67 rdf:rest rdf:nil
    68 N7750cbc1c95d443189fd7872aed76eff rdf:first sg:person.013641401431.40
    69 rdf:rest rdf:nil
    70 Nb0199e765ec7467380eddc7fcd5f6328 schema:name Springer Nature - SN SciGraph project
    71 rdf:type schema:Organization
    72 Nc98dc8b3b1674142b13d53e3b5833d78 rdf:first Ne28b0c8670b34e3c9340d438c4218422
    73 rdf:rest N724a177a4f6d446880d2974eceddd04f
    74 Ncb7bfccce9e14110bebab46b8de50dc5 schema:name doi
    75 schema:value 10.1007/11551362_4
    76 rdf:type schema:PropertyValue
    77 Ne28b0c8670b34e3c9340d438c4218422 schema:familyName Rauber
    78 schema:givenName Andreas
    79 rdf:type schema:Person
    80 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    81 schema:name Information and Computing Sciences
    82 rdf:type schema:DefinedTerm
    83 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    84 schema:name Artificial Intelligence and Image Processing
    85 rdf:type schema:DefinedTerm
    86 sg:person.013641401431.40 schema:affiliation https://www.grid.ac/institutes/grid.9970.7
    87 schema:familyName Widmer
    88 schema:givenName Gerhard
    89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013641401431.40
    90 rdf:type schema:Person
    91 sg:person.016522061264.27 schema:affiliation https://www.grid.ac/institutes/grid.432019.d
    92 schema:familyName Pampalk
    93 schema:givenName Elias
    94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016522061264.27
    95 rdf:type schema:Person
    96 sg:person.0757053000.20 schema:affiliation https://www.grid.ac/institutes/grid.22937.3d
    97 schema:familyName Flexer
    98 schema:givenName Arthur
    99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757053000.20
    100 rdf:type schema:Person
    101 sg:pub.10.1007/978-3-642-56927-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026330191
    102 https://doi.org/10.1007/978-3-642-56927-2
    103 rdf:type schema:CreativeWork
    104 sg:pub.10.1007/978-94-011-2624-3_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044187313
    105 https://doi.org/10.1007/978-94-011-2624-3_10
    106 rdf:type schema:CreativeWork
    107 sg:pub.10.1038/21987 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034820983
    108 https://doi.org/10.1038/21987
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.1016/0306-4573(88)90021-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032478827
    111 rdf:type schema:CreativeWork
    112 https://doi.org/10.1049/cp:19991137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098689762
    113 rdf:type schema:CreativeWork
    114 https://doi.org/10.1080/09540099008915664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030099796
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1109/icme.2004.1394328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095464212
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1109/ijcnn.1990.137727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086353606
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1109/ijcnn.1999.836235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093729798
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1109/ijcnn.2000.859366 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095374972
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1109/wdm.2001.990164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094150372
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1109/wdm.2003.1233887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094924620
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1145/333175.333181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005183241
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1145/641007.641121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044438630
    131 rdf:type schema:CreativeWork
    132 https://www.grid.ac/institutes/grid.22937.3d schema:alternateName Medical University of Vienna
    133 schema:name Austrian Research Institute for Artificial Intelligence, Vienna, Austria
    134 Department of Medical Cybernetics and Artificial Intelligence, Center for Brain Research, Vienna University of Medicine, Austria
    135 rdf:type schema:Organization
    136 https://www.grid.ac/institutes/grid.432019.d schema:alternateName Austrian Research Institute for Artificial Intelligence
    137 schema:name Austrian Research Institute for Artificial Intelligence, Vienna, Austria
    138 rdf:type schema:Organization
    139 https://www.grid.ac/institutes/grid.9970.7 schema:alternateName Johannes Kepler University of Linz
    140 schema:name Austrian Research Institute for Artificial Intelligence, Vienna, Austria
    141 Department of Computational Perception, Johannes Kepler University, Linz, Austria
    142 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...