Ontology type: schema:ScholarlyArticle Open Access: True
2011-05
AUTHORSFrancisco Luna, César Estébanez, Coromoto León, José M. Chaves-González, Antonio J. Nebro, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Enrique Alba, José M. Valls, Gara Miranda, Juan A. Gómez-Pulido
ABSTRACTNowadays, mobile communications are experiencing a strong growth, being more and more indispensable. One of the key issues in the design of mobile networks is the frequency assignment problem (FAP). This problem is crucial at present and will remain important in the foreseeable future. Real-world instances of FAP typically involve very large networks, which can be handled only by heuristic methods. In the present work, we are interested in optimizing frequency assignments for problems described in a mathematical formalism that incorporates actual interference information, measured directly on the field, as is done in current GSM networks. To achieve this goal, a range of metaheuristics have been designed, adapted, and rigourously compared on two actual GSM networks modeled according to the latter formalism. To generate quickly and reliably high-quality solutions, all metaheuristics combine their global search capabilities with a local-search method specially tailored for this domain. The experiments and statistical tests show that in general, all metaheuristics are able to improve upon results published in previous studies, but two of the metaheuristics emerge as the best performers: a population-based algorithm (Scatter Search) and a trajectory based (1+1) Evolutionary Algorithm. Finally, the analysis of the frequency plans obtained offers insight about how the interference cost is reduced in the optimal plans. More... »
PAGES975-990
http://scigraph.springernature.com/pub.10.1007/s00500-010-0653-4
DOIhttp://dx.doi.org/10.1007/s00500-010-0653-4
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1028204938
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/2008/1005",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Communications Technologies",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/10",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Technology",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Malaga",
"id": "https://www.grid.ac/institutes/grid.10215.37",
"name": [
"Universidad de M\u00e1laga, Malaga, Spain"
],
"type": "Organization"
},
"familyName": "Luna",
"givenName": "Francisco",
"id": "sg:person.016535776111.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016535776111.16"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Carlos III University of Madrid",
"id": "https://www.grid.ac/institutes/grid.7840.b",
"name": [
"Universidad Carlos III de Madrid, Madrid, Spain"
],
"type": "Organization"
},
"familyName": "Est\u00e9banez",
"givenName": "C\u00e9sar",
"id": "sg:person.014257334365.20",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014257334365.20"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of La Laguna",
"id": "https://www.grid.ac/institutes/grid.10041.34",
"name": [
"Universidad de La Laguna, Tenerife, Spain"
],
"type": "Organization"
},
"familyName": "Le\u00f3n",
"givenName": "Coromoto",
"id": "sg:person.016277524101.47",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016277524101.47"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Extremadura",
"id": "https://www.grid.ac/institutes/grid.8393.1",
"name": [
"Universidad de Extremadura, Badajoz, Spain"
],
"type": "Organization"
},
"familyName": "Chaves-Gonz\u00e1lez",
"givenName": "Jos\u00e9 M.",
"id": "sg:person.016240073002.18",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016240073002.18"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Malaga",
"id": "https://www.grid.ac/institutes/grid.10215.37",
"name": [
"Universidad de M\u00e1laga, Malaga, Spain"
],
"type": "Organization"
},
"familyName": "Nebro",
"givenName": "Antonio J.",
"id": "sg:person.011240516373.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011240516373.19"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Carlos III University of Madrid",
"id": "https://www.grid.ac/institutes/grid.7840.b",
"name": [
"Universidad Carlos III de Madrid, Madrid, Spain"
],
"type": "Organization"
},
"familyName": "Aler",
"givenName": "Ricardo",
"id": "sg:person.013573522277.68",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013573522277.68"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of La Laguna",
"id": "https://www.grid.ac/institutes/grid.10041.34",
"name": [
"Universidad de La Laguna, Tenerife, Spain"
],
"type": "Organization"
},
"familyName": "Segura",
"givenName": "Carlos",
"id": "sg:person.016456006606.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016456006606.19"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Extremadura",
"id": "https://www.grid.ac/institutes/grid.8393.1",
"name": [
"Universidad de Extremadura, Badajoz, Spain"
],
"type": "Organization"
},
"familyName": "Vega-Rodr\u00edguez",
"givenName": "Miguel A.",
"id": "sg:person.013631547144.68",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013631547144.68"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Malaga",
"id": "https://www.grid.ac/institutes/grid.10215.37",
"name": [
"Universidad de M\u00e1laga, Malaga, Spain"
],
"type": "Organization"
},
"familyName": "Alba",
"givenName": "Enrique",
"id": "sg:person.013075206405.86",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075206405.86"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Carlos III University of Madrid",
"id": "https://www.grid.ac/institutes/grid.7840.b",
"name": [
"Universidad Carlos III de Madrid, Madrid, Spain"
],
"type": "Organization"
},
"familyName": "Valls",
"givenName": "Jos\u00e9 M.",
"id": "sg:person.015230413005.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015230413005.15"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of La Laguna",
"id": "https://www.grid.ac/institutes/grid.10041.34",
"name": [
"Universidad de La Laguna, Tenerife, Spain"
],
"type": "Organization"
},
"familyName": "Miranda",
"givenName": "Gara",
"id": "sg:person.010665147705.36",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010665147705.36"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Extremadura",
"id": "https://www.grid.ac/institutes/grid.8393.1",
"name": [
"Universidad de Extremadura, Badajoz, Spain"
],
"type": "Organization"
},
"familyName": "G\u00f3mez-Pulido",
"givenName": "Juan A.",
"id": "sg:person.012511677563.00",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012511677563.00"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/978-3-540-78761-7_3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004848566",
"https://doi.org/10.1007/978-3-540-78761-7_3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-540-78761-7_3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004848566",
"https://doi.org/10.1007/978-3-540-78761-7_3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/11890584_1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005370374",
"https://doi.org/10.1007/11890584_1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/11890584_1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005370374",
"https://doi.org/10.1007/11890584_1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bfb0026589",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007026552",
"https://doi.org/10.1007/bfb0026589"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1011406425471",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007708283",
"https://doi.org/10.1023/a:1011406425471"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/937503.937505",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008740328"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4615-5087-7_13",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010275951",
"https://doi.org/10.1007/978-1-4615-5087-7_13"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/08839510490497058",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013091862"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/3-540-45712-7_75",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013290840",
"https://doi.org/10.1007/3-540-45712-7_75"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/3-540-45712-7_75",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013290840",
"https://doi.org/10.1007/3-540-45712-7_75"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/3-540-45110-2_118",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017166365",
"https://doi.org/10.1007/3-540-45110-2_118"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/3-540-45110-2_118",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017166365",
"https://doi.org/10.1007/3-540-45110-2_118"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ejor.2004.08.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018759927"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cor.2005.05.038",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024566910"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cor.2005.05.038",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024566910"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0377-2217(98)00099-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027312433"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.orl.2006.01.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027572161"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0166-218x(02)00239-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028806729"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/1276958.1276972",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028914459"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0377-2217(99)00254-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029287785"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10479-007-0178-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032339405",
"https://doi.org/10.1007/s10479-007-0178-0"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/scj.10328",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032965026"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1026597127504",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034457726",
"https://doi.org/10.1023/a:1026597127504"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/b99492",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034461735",
"https://doi.org/10.1007/b99492"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/b99492",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034461735",
"https://doi.org/10.1007/b99492"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/381448.381456",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036094595"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s101070100247",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036653767",
"https://doi.org/10.1007/s101070100247"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1019100324508",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037148074",
"https://doi.org/10.1023/a:1019100324508"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cor.2004.03.020",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038190661"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-0-387-30165-5_32",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040096335",
"https://doi.org/10.1007/978-0-387-30165-5_32"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-0-387-30165-5_32",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040096335",
"https://doi.org/10.1007/978-0-387-30165-5_32"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/1389095.1389396",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040406998"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01096763",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041344187",
"https://doi.org/10.1007/bf01096763"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01096763",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041344187",
"https://doi.org/10.1007/bf01096763"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-540-71615-0_10",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041918780",
"https://doi.org/10.1007/978-3-540-71615-0_10"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0003-2670(00)82860-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044800141"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1016540724870",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049273806",
"https://doi.org/10.1023/a:1016540724870"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/3-540-45365-2_15",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049341023",
"https://doi.org/10.1007/3-540-45365-2_15"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/3-540-45365-2_15",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049341023",
"https://doi.org/10.1007/3-540-45365-2_15"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/0471739383.ch17",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050594400"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/3-540-46033-0_14",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050979880",
"https://doi.org/10.1007/3-540-46033-0_14"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0305-0548(03)00210-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051837707"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0305-0548(03)00210-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051837707"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/11.992851",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061087201"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/98.350860",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061251577"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/98.772978",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061251722"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/proc.1980.11899",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061444670"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tsmcb.2003.821450",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061796272"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1504/ijmndi.2006.010812",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1067476716"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.7151/dmgt.1158",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1073620483"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/b101874",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085194881",
"https://doi.org/10.1007/b101874"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/ictai.2001.974458",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093442010"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icsmc2.2003.1428345",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093585988"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/pdp.2008.23",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094904846"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/ictai.2006.18",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094944449"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/vtc.2002.1002966",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095336731"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1201/9781420036268",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095903557"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/0471200697",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1098661003"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/0471200697",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1098661003"
],
"type": "CreativeWork"
}
],
"datePublished": "2011-05",
"datePublishedReg": "2011-05-01",
"description": "Nowadays, mobile communications are experiencing a strong growth, being more and more indispensable. One of the key issues in the design of mobile networks is the frequency assignment problem (FAP). This problem is crucial at present and will remain important in the foreseeable future. Real-world instances of FAP typically involve very large networks, which can be handled only by heuristic methods. In the present work, we are interested in optimizing frequency assignments for problems described in a mathematical formalism that incorporates actual interference information, measured directly on the field, as is done in current GSM networks. To achieve this goal, a range of metaheuristics have been designed, adapted, and rigourously compared on two actual GSM networks modeled according to the latter formalism. To generate quickly and reliably high-quality solutions, all metaheuristics combine their global search capabilities with a local-search method specially tailored for this domain. The experiments and statistical tests show that in general, all metaheuristics are able to improve upon results published in previous studies, but two of the metaheuristics emerge as the best performers: a population-based algorithm (Scatter Search) and a trajectory based (1+1) Evolutionary Algorithm. Finally, the analysis of the frequency plans obtained offers insight about how the interference cost is reduced in the optimal plans.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00500-010-0653-4",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1050238",
"issn": [
"1432-7643",
"1433-7479"
],
"name": "Soft Computing",
"type": "Periodical"
},
{
"issueNumber": "5",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "15"
}
],
"name": "Optimization algorithms for large-scale real-world instances of the frequency assignment problem",
"pagination": "975-990",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"865cd28e3c124b35cb479cb7558f9041f0a54d7f5d84a6cabc8aba4cbaf9de4a"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00500-010-0653-4"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1028204938"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00500-010-0653-4",
"https://app.dimensions.ai/details/publication/pub.1028204938"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T20:47",
"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/v90/0000000001_0000000264/records_8684_00000513.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs00500-010-0653-4"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s00500-010-0653-4'
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/s00500-010-0653-4'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00500-010-0653-4'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00500-010-0653-4'
This table displays all metadata directly associated to this object as RDF triples.
313 TRIPLES
21 PREDICATES
76 URIs
19 LITERALS
7 BLANK NODES