Feta: A Light-Weight Architecture for User Oriented Semantic Service Discovery View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2005

AUTHORS

Phillip Lord , Pinar Alper , Chris Wroe , Carole Goble

ABSTRACT

Semantic Web Services offer the possibility of highly flexible web service architectures, where new services can be quickly discovered, orchestrated and composed into workflows. Most existing work has, however, focused on complex service descriptions for automated composition. In this paper, we describe the requirements from the bioinformatics domain which demand technically simpler descriptions, involving the user community at all levels. We describe our data model and light-weight semantic discovery architecture. We explain how this fits in the larger architecture of the myGrid project, which overall enables interoperability and composition across, disparate, autonomous, third-party services. Our contention is that such light-weight service discovery provides a good fit for user requirements of bioinformatics and possibly other domains. More... »

PAGES

17-31

References to SciGraph publications

Book

TITLE

The Semantic Web: Research and Applications

ISBN

978-3-540-26124-7
978-3-540-31547-6

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/11431053_2

DOI

http://dx.doi.org/10.1007/11431053_2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048622026


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/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "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": "University of Manchester", 
          "id": "https://www.grid.ac/institutes/grid.5379.8", 
          "name": [
            "School of Computer Science, University of Manchester, Oxford Road, M13 9PL, Manchester, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lord", 
        "givenName": "Phillip", 
        "id": "sg:person.0776355561.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776355561.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Manchester", 
          "id": "https://www.grid.ac/institutes/grid.5379.8", 
          "name": [
            "School of Computer Science, University of Manchester, Oxford Road, M13 9PL, Manchester, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alper", 
        "givenName": "Pinar", 
        "id": "sg:person.01335361515.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335361515.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Manchester", 
          "id": "https://www.grid.ac/institutes/grid.5379.8", 
          "name": [
            "School of Computer Science, University of Manchester, Oxford Road, M13 9PL, Manchester, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wroe", 
        "givenName": "Chris", 
        "id": "sg:person.01075514512.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075514512.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Manchester", 
          "id": "https://www.grid.ac/institutes/grid.5379.8", 
          "name": [
            "School of Computer Science, University of Manchester, Oxford Road, M13 9PL, Manchester, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goble", 
        "givenName": "Carole", 
        "id": "sg:person.01030626610.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030626610.45"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/bioinformatics/17.2.180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005085434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth944", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008395469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-30475-3_25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013242829", 
          "https://doi.org/10.1007/978-3-540-30475-3_25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-30475-3_25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013242829", 
          "https://doi.org/10.1007/978-3-540-30475-3_25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-30581-1_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014020607", 
          "https://doi.org/10.1007/978-3-540-30581-1_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-30581-1_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014020607", 
          "https://doi.org/10.1007/978-3-540-30581-1_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-3-32", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017514530", 
          "https://doi.org/10.1186/1471-2105-3-32"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-3-32", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017514530", 
          "https://doi.org/10.1186/1471-2105-3-32"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-39718-2_55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021891956", 
          "https://doi.org/10.1007/978-3-540-39718-2_55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-39718-2_55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021891956", 
          "https://doi.org/10.1007/978-3-540-39718-2_55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028820994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029467065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.websem.2003.12.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035114354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mis.2004.1265885", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061405694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0218843003000711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062983598"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005", 
    "datePublishedReg": "2005-01-01", 
    "description": "Semantic Web Services offer the possibility of highly flexible web service architectures, where new services can be quickly discovered, orchestrated and composed into workflows. Most existing work has, however, focused on complex service descriptions for automated composition. In this paper, we describe the requirements from the bioinformatics domain which demand technically simpler descriptions, involving the user community at all levels. We describe our data model and light-weight semantic discovery architecture. We explain how this fits in the larger architecture of the myGrid project, which overall enables interoperability and composition across, disparate, autonomous, third-party services. Our contention is that such light-weight service discovery provides a good fit for user requirements of bioinformatics and possibly other domains.", 
    "editor": [
      {
        "familyName": "G\u00f3mez-P\u00e9rez", 
        "givenName": "Asunci\u00f3n", 
        "type": "Person"
      }, 
      {
        "familyName": "Euzenat", 
        "givenName": "J\u00e9r\u00f4me", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/11431053_2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-540-26124-7", 
        "978-3-540-31547-6"
      ], 
      "name": "The Semantic Web: Research and Applications", 
      "type": "Book"
    }, 
    "name": "Feta: A Light-Weight Architecture for User Oriented Semantic Service Discovery", 
    "pagination": "17-31", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048622026"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/11431053_2"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e7a06d039352f261fa99d923bcbc315ec224343b33bf83998e1d3e48f2c436b0"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/11431053_2", 
      "https://app.dimensions.ai/details/publication/pub.1048622026"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T07:59", 
    "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/v90/0000000359_0000000359/records_29182_00000002.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F11431053_2"
  }
]
 

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.10.1007/11431053_2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/11431053_2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/11431053_2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/11431053_2'


 

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

128 TRIPLES      23 PREDICATES      38 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/11431053_2 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author Nd3343e0660b14488b631cd355191a9cc
4 schema:citation sg:pub.10.1007/978-3-540-30475-3_25
5 sg:pub.10.1007/978-3-540-30581-1_4
6 sg:pub.10.1007/978-3-540-39718-2_55
7 sg:pub.10.1186/1471-2105-3-32
8 https://doi.org/10.1016/j.websem.2003.12.003
9 https://doi.org/10.1093/bioinformatics/17.2.180
10 https://doi.org/10.1093/bioinformatics/bth251
11 https://doi.org/10.1093/bioinformatics/bth361
12 https://doi.org/10.1093/bioinformatics/bth944
13 https://doi.org/10.1109/mis.2004.1265885
14 https://doi.org/10.1142/s0218843003000711
15 schema:datePublished 2005
16 schema:datePublishedReg 2005-01-01
17 schema:description Semantic Web Services offer the possibility of highly flexible web service architectures, where new services can be quickly discovered, orchestrated and composed into workflows. Most existing work has, however, focused on complex service descriptions for automated composition. In this paper, we describe the requirements from the bioinformatics domain which demand technically simpler descriptions, involving the user community at all levels. We describe our data model and light-weight semantic discovery architecture. We explain how this fits in the larger architecture of the myGrid project, which overall enables interoperability and composition across, disparate, autonomous, third-party services. Our contention is that such light-weight service discovery provides a good fit for user requirements of bioinformatics and possibly other domains.
18 schema:editor Na88c6502de454db5af01817cbe65ffb3
19 schema:genre chapter
20 schema:inLanguage en
21 schema:isAccessibleForFree true
22 schema:isPartOf N0b1633467c584614af219766068418a8
23 schema:name Feta: A Light-Weight Architecture for User Oriented Semantic Service Discovery
24 schema:pagination 17-31
25 schema:productId Nab91717c7d0842a687bc8cd18833daba
26 Ne7f419328a4b4fbb818f23981175d653
27 Nf2e940f853754f6d95c0d7779d72fdaa
28 schema:publisher Ne678295171764080a8bb3a4ebd875207
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048622026
30 https://doi.org/10.1007/11431053_2
31 schema:sdDatePublished 2019-04-16T07:59
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher N947b71ad143c4171baa0647701a16ee4
34 schema:url https://link.springer.com/10.1007%2F11431053_2
35 sgo:license sg:explorer/license/
36 sgo:sdDataset chapters
37 rdf:type schema:Chapter
38 N0b1633467c584614af219766068418a8 schema:isbn 978-3-540-26124-7
39 978-3-540-31547-6
40 schema:name The Semantic Web: Research and Applications
41 rdf:type schema:Book
42 N4f94606d0f7344fe8cf9b8f80ab77d85 rdf:first Nc7ca04f6ce1048fc9b595a160d3b4b6d
43 rdf:rest rdf:nil
44 N76e47d63087340b49d60975df67ec686 schema:familyName Gómez-Pérez
45 schema:givenName Asunción
46 rdf:type schema:Person
47 N80acea4d441546989dcc2d8c376aa1ed rdf:first sg:person.01075514512.64
48 rdf:rest Nb3099796376c4f9e8fb4347ee85fd3d0
49 N947b71ad143c4171baa0647701a16ee4 schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 Na88c6502de454db5af01817cbe65ffb3 rdf:first N76e47d63087340b49d60975df67ec686
52 rdf:rest N4f94606d0f7344fe8cf9b8f80ab77d85
53 Nab91717c7d0842a687bc8cd18833daba schema:name dimensions_id
54 schema:value pub.1048622026
55 rdf:type schema:PropertyValue
56 Nb3099796376c4f9e8fb4347ee85fd3d0 rdf:first sg:person.01030626610.45
57 rdf:rest rdf:nil
58 Nc7ca04f6ce1048fc9b595a160d3b4b6d schema:familyName Euzenat
59 schema:givenName Jérôme
60 rdf:type schema:Person
61 Nd3343e0660b14488b631cd355191a9cc rdf:first sg:person.0776355561.43
62 rdf:rest Nf0781deb9b374a0bb6fb40ce5cfeb70f
63 Ne678295171764080a8bb3a4ebd875207 schema:location Berlin, Heidelberg
64 schema:name Springer Berlin Heidelberg
65 rdf:type schema:Organisation
66 Ne7f419328a4b4fbb818f23981175d653 schema:name readcube_id
67 schema:value e7a06d039352f261fa99d923bcbc315ec224343b33bf83998e1d3e48f2c436b0
68 rdf:type schema:PropertyValue
69 Nf0781deb9b374a0bb6fb40ce5cfeb70f rdf:first sg:person.01335361515.40
70 rdf:rest N80acea4d441546989dcc2d8c376aa1ed
71 Nf2e940f853754f6d95c0d7779d72fdaa schema:name doi
72 schema:value 10.1007/11431053_2
73 rdf:type schema:PropertyValue
74 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
75 schema:name Information and Computing Sciences
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
78 schema:name Information Systems
79 rdf:type schema:DefinedTerm
80 sg:person.01030626610.45 schema:affiliation https://www.grid.ac/institutes/grid.5379.8
81 schema:familyName Goble
82 schema:givenName Carole
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030626610.45
84 rdf:type schema:Person
85 sg:person.01075514512.64 schema:affiliation https://www.grid.ac/institutes/grid.5379.8
86 schema:familyName Wroe
87 schema:givenName Chris
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075514512.64
89 rdf:type schema:Person
90 sg:person.01335361515.40 schema:affiliation https://www.grid.ac/institutes/grid.5379.8
91 schema:familyName Alper
92 schema:givenName Pinar
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335361515.40
94 rdf:type schema:Person
95 sg:person.0776355561.43 schema:affiliation https://www.grid.ac/institutes/grid.5379.8
96 schema:familyName Lord
97 schema:givenName Phillip
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776355561.43
99 rdf:type schema:Person
100 sg:pub.10.1007/978-3-540-30475-3_25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013242829
101 https://doi.org/10.1007/978-3-540-30475-3_25
102 rdf:type schema:CreativeWork
103 sg:pub.10.1007/978-3-540-30581-1_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014020607
104 https://doi.org/10.1007/978-3-540-30581-1_4
105 rdf:type schema:CreativeWork
106 sg:pub.10.1007/978-3-540-39718-2_55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021891956
107 https://doi.org/10.1007/978-3-540-39718-2_55
108 rdf:type schema:CreativeWork
109 sg:pub.10.1186/1471-2105-3-32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017514530
110 https://doi.org/10.1186/1471-2105-3-32
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.websem.2003.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035114354
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1093/bioinformatics/17.2.180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005085434
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1093/bioinformatics/bth251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028820994
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1093/bioinformatics/bth361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029467065
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1093/bioinformatics/bth944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008395469
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1109/mis.2004.1265885 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061405694
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1142/s0218843003000711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062983598
125 rdf:type schema:CreativeWork
126 https://www.grid.ac/institutes/grid.5379.8 schema:alternateName University of Manchester
127 schema:name School of Computer Science, University of Manchester, Oxford Road, M13 9PL, Manchester, UK
128 rdf:type schema:Organization
 




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


...