Ontology type: schema:Chapter
2007-01-01
AUTHORSSteven Heeps , Joe Sventek , Naranker Dulay , Alberto Egon Schaeffer Filho , Emil Lupu , Morris Sloman , Stephen Strowes
ABSTRACTWith the emergence of mobile and ubiquitous computing environments, there is a requirement to enable collaborative applications between these environments. As many of these applications have been designed to operate in isolation, making them work together is often complicated by the semantic and ontological differences in the meta-data describing the data to be shared. Typical approaches to overcoming ontological differences require the presence of a third party administrator, an approach incompatible with autonomous systems. This paper presents an approach to automatic ontology mapping suitable for deployment in autonomous, interacting systems for a class of collaborative application. The approach facilitates the collaboration of application-level data collections by identifying areas of ontological conflict and using meta-data values associated with those collections to establish commonality. A music sharing application has been developed to facilitate the sharing of music between peers. More... »
PAGES255-263
Self-Organizing Systems
ISBN
978-3-540-74916-5
978-3-540-74917-2
http://scigraph.springernature.com/pub.10.1007/978-3-540-74917-2_20
DOIhttp://dx.doi.org/10.1007/978-3-540-74917-2_20
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1042981867
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/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
},
{
"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/2008/0806",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information Systems",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Computing Science, University of Glasgow",
"id": "http://www.grid.ac/institutes/grid.8756.c",
"name": [
"Department of Computing Science, University of Glasgow"
],
"type": "Organization"
},
"familyName": "Heeps",
"givenName": "Steven",
"id": "sg:person.012155037565.94",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012155037565.94"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Computing Science, University of Glasgow",
"id": "http://www.grid.ac/institutes/grid.8756.c",
"name": [
"Department of Computing Science, University of Glasgow"
],
"type": "Organization"
},
"familyName": "Sventek",
"givenName": "Joe",
"id": "sg:person.012747526024.46",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012747526024.46"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Computing, Imperial College London",
"id": "http://www.grid.ac/institutes/grid.7445.2",
"name": [
"Department of Computing, Imperial College London"
],
"type": "Organization"
},
"familyName": "Dulay",
"givenName": "Naranker",
"id": "sg:person.016502445101.46",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016502445101.46"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Computing, Imperial College London",
"id": "http://www.grid.ac/institutes/grid.7445.2",
"name": [
"Department of Computing, Imperial College London"
],
"type": "Organization"
},
"familyName": "Schaeffer Filho",
"givenName": "Alberto Egon",
"id": "sg:person.016661106103.79",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016661106103.79"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Computing, Imperial College London",
"id": "http://www.grid.ac/institutes/grid.7445.2",
"name": [
"Department of Computing, Imperial College London"
],
"type": "Organization"
},
"familyName": "Lupu",
"givenName": "Emil",
"id": "sg:person.013404167044.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013404167044.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Computing, Imperial College London",
"id": "http://www.grid.ac/institutes/grid.7445.2",
"name": [
"Department of Computing, Imperial College London"
],
"type": "Organization"
},
"familyName": "Sloman",
"givenName": "Morris",
"id": "sg:person.014167643026.41",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014167643026.41"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Computing Science, University of Glasgow",
"id": "http://www.grid.ac/institutes/grid.8756.c",
"name": [
"Department of Computing Science, University of Glasgow"
],
"type": "Organization"
},
"familyName": "Strowes",
"givenName": "Stephen",
"id": "sg:person.010010373147.89",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010010373147.89"
],
"type": "Person"
}
],
"datePublished": "2007-01-01",
"datePublishedReg": "2007-01-01",
"description": "With the emergence of mobile and ubiquitous computing environments, there is a requirement to enable collaborative applications between these environments. As many of these applications have been designed to operate in isolation, making them work together is often complicated by the semantic and ontological differences in the meta-data describing the data to be shared. Typical approaches to overcoming ontological differences require the presence of a third party administrator, an approach incompatible with autonomous systems. This paper presents an approach to automatic ontology mapping suitable for deployment in autonomous, interacting systems for a class of collaborative application. The approach facilitates the collaboration of application-level data collections by identifying areas of ontological conflict and using meta-data values associated with those collections to establish commonality. A music sharing application has been developed to facilitate the sharing of music between peers.",
"editor": [
{
"familyName": "Hutchison",
"givenName": "David",
"type": "Person"
},
{
"familyName": "Katz",
"givenName": "Randy H.",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-540-74917-2_20",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-3-540-74916-5",
"978-3-540-74917-2"
],
"name": "Self-Organizing Systems",
"type": "Book"
},
"keywords": [
"collaborative applications",
"ontology mapping",
"autonomous systems",
"automatic ontology mapping",
"ubiquitous computing environments",
"dynamic ontology mapping",
"sharing of music",
"computing environment",
"typical approach",
"data collection",
"applications",
"environment",
"sharing",
"deployment",
"system",
"collection",
"mapping",
"requirements",
"ontological conflicts",
"peers",
"collaboration",
"music",
"administrators",
"third-party administrators",
"ontological difference",
"commonalities",
"data",
"class",
"emergence",
"area",
"conflict",
"values",
"isolation",
"differences",
"presence",
"approach",
"paper"
],
"name": "Dynamic Ontology Mapping for Interacting Autonomous Systems",
"pagination": "255-263",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1042981867"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-540-74917-2_20"
]
}
],
"publisher": {
"name": "Springer Nature",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-540-74917-2_20",
"https://app.dimensions.ai/details/publication/pub.1042981867"
],
"sdDataset": "chapters",
"sdDatePublished": "2022-06-01T22:36",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/chapter/chapter_59.jsonl",
"type": "Chapter",
"url": "https://doi.org/10.1007/978-3-540-74917-2_20"
}
]
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.10.1007/978-3-540-74917-2_20'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-74917-2_20'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-74917-2_20'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-74917-2_20'
This table displays all metadata directly associated to this object as RDF triples.
151 TRIPLES
23 PREDICATES
63 URIs
55 LITERALS
7 BLANK NODES