Deontic Sensors Article Swipe
Julián Padget
,
Marina De Vos
,
Charlie Ann Page
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.24963/ijcai.2018/66
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.24963/ijcai.2018/66
Normative capabilities in multi-agent systems (MAS) can be represented within agents, separately as institutions, or a blend of the two. This paper addresses how to extend the principles of open MAS to the provision of normative reasoning capabilities, which are currently either embedded in existing MAS platforms - tightly coupled and inaccessible - or not present. We use a resource-oriented architecture (ROA) pattern, that we call deontic sensors, to make normative reasoning part of an open MAS architecture. The pattern specifies how to loosely couple MAS and normative frameworks, such that each is agnostic of the other, while augmenting the brute facts that an agent perceives with institutional facts, that capture each institution's interpretation of an agent's action. In consequence, a MAS without normative capabilities can acquire them, and an embedded normative framework can be de-coupled and opened to other MAS platforms. More importantly, the deontic sensor pattern allows normative reasoning to be published as services, opening routes to certification and re-use, creation of (formalized) trust and non-specialist access to "on demand'' normative reasoning.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.24963/ijcai.2018/66
- https://www.ijcai.org/proceedings/2018/0066.pdf
- OA Status
- gold
- Cited By
- 5
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4237816061
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4237816061Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.24963/ijcai.2018/66Digital Object Identifier
- Title
-
Deontic SensorsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-07-01Full publication date if available
- Authors
-
Julián Padget, Marina De Vos, Charlie Ann PageList of authors in order
- Landing page
-
https://doi.org/10.24963/ijcai.2018/66Publisher landing page
- PDF URL
-
https://www.ijcai.org/proceedings/2018/0066.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.ijcai.org/proceedings/2018/0066.pdfDirect OA link when available
- Concepts
-
Deontic logic, Normative, Computer science, Certification, Multi-agent system, Artificial intelligence, Resource (disambiguation), Architecture, Knowledge management, Human–computer interaction, Epistemology, Political science, Law, Philosophy, Visual arts, Art, Computer networkTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 1, 2022: 2, 2019: 1Per-year citation counts (last 5 years)
- References (count)
-
23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4237816061 |
|---|---|
| doi | https://doi.org/10.24963/ijcai.2018/66 |
| ids.doi | https://doi.org/10.24963/ijcai.2018/66 |
| ids.openalex | https://openalex.org/W4237816061 |
| fwci | 0.19856246 |
| type | article |
| title | Deontic Sensors |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 481 |
| biblio.first_page | 475 |
| topics[0].id | https://openalex.org/T10456 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9994000196456909 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Multi-Agent Systems and Negotiation |
| topics[1].id | https://openalex.org/T11010 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9979000091552734 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Logic, Reasoning, and Knowledge |
| topics[2].id | https://openalex.org/T11182 |
| topics[2].field.id | https://openalex.org/fields/18 |
| topics[2].field.display_name | Decision Sciences |
| topics[2].score | 0.9925000071525574 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1803 |
| topics[2].subfield.display_name | Management Science and Operations Research |
| topics[2].display_name | Auction Theory and Applications |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C6377922 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9499502778053284 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q302542 |
| concepts[0].display_name | Deontic logic |
| concepts[1].id | https://openalex.org/C44725695 |
| concepts[1].level | 2 |
| concepts[1].score | 0.9097455739974976 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q288156 |
| concepts[1].display_name | Normative |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.7270572185516357 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C46304622 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4967394471168518 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q374814 |
| concepts[3].display_name | Certification |
| concepts[4].id | https://openalex.org/C41550386 |
| concepts[4].level | 2 |
| concepts[4].score | 0.46945828199386597 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q529909 |
| concepts[4].display_name | Multi-agent system |
| concepts[5].id | https://openalex.org/C154945302 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4587891101837158 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[5].display_name | Artificial intelligence |
| concepts[6].id | https://openalex.org/C206345919 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4531361162662506 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q20380951 |
| concepts[6].display_name | Resource (disambiguation) |
| concepts[7].id | https://openalex.org/C123657996 |
| concepts[7].level | 2 |
| concepts[7].score | 0.45268526673316956 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q12271 |
| concepts[7].display_name | Architecture |
| concepts[8].id | https://openalex.org/C56739046 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3647543787956238 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q192060 |
| concepts[8].display_name | Knowledge management |
| concepts[9].id | https://openalex.org/C107457646 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3319156765937805 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[9].display_name | Human–computer interaction |
| concepts[10].id | https://openalex.org/C111472728 |
| concepts[10].level | 1 |
| concepts[10].score | 0.15601810812950134 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[10].display_name | Epistemology |
| concepts[11].id | https://openalex.org/C17744445 |
| concepts[11].level | 0 |
| concepts[11].score | 0.09746837615966797 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[11].display_name | Political science |
| concepts[12].id | https://openalex.org/C199539241 |
| concepts[12].level | 1 |
| concepts[12].score | 0.08269074559211731 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[12].display_name | Law |
| concepts[13].id | https://openalex.org/C138885662 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[13].display_name | Philosophy |
| concepts[14].id | https://openalex.org/C153349607 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q36649 |
| concepts[14].display_name | Visual arts |
| concepts[15].id | https://openalex.org/C142362112 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q735 |
| concepts[15].display_name | Art |
| concepts[16].id | https://openalex.org/C31258907 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[16].display_name | Computer network |
| keywords[0].id | https://openalex.org/keywords/deontic-logic |
| keywords[0].score | 0.9499502778053284 |
| keywords[0].display_name | Deontic logic |
| keywords[1].id | https://openalex.org/keywords/normative |
| keywords[1].score | 0.9097455739974976 |
| keywords[1].display_name | Normative |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.7270572185516357 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/certification |
| keywords[3].score | 0.4967394471168518 |
| keywords[3].display_name | Certification |
| keywords[4].id | https://openalex.org/keywords/multi-agent-system |
| keywords[4].score | 0.46945828199386597 |
| keywords[4].display_name | Multi-agent system |
| keywords[5].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[5].score | 0.4587891101837158 |
| keywords[5].display_name | Artificial intelligence |
| keywords[6].id | https://openalex.org/keywords/resource |
| keywords[6].score | 0.4531361162662506 |
| keywords[6].display_name | Resource (disambiguation) |
| keywords[7].id | https://openalex.org/keywords/architecture |
| keywords[7].score | 0.45268526673316956 |
| keywords[7].display_name | Architecture |
| keywords[8].id | https://openalex.org/keywords/knowledge-management |
| keywords[8].score | 0.3647543787956238 |
| keywords[8].display_name | Knowledge management |
| keywords[9].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[9].score | 0.3319156765937805 |
| keywords[9].display_name | Human–computer interaction |
| keywords[10].id | https://openalex.org/keywords/epistemology |
| keywords[10].score | 0.15601810812950134 |
| keywords[10].display_name | Epistemology |
| keywords[11].id | https://openalex.org/keywords/political-science |
| keywords[11].score | 0.09746837615966797 |
| keywords[11].display_name | Political science |
| keywords[12].id | https://openalex.org/keywords/law |
| keywords[12].score | 0.08269074559211731 |
| keywords[12].display_name | Law |
| language | en |
| locations[0].id | doi:10.24963/ijcai.2018/66 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | https://www.ijcai.org/proceedings/2018/0066.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence |
| locations[0].landing_page_url | https://doi.org/10.24963/ijcai.2018/66 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5005596564 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-1314-2094 |
| authorships[0].author.display_name | Julián Padget |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I51601045 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Computer Science, University of Bath, United Kingdom |
| authorships[0].institutions[0].id | https://openalex.org/I51601045 |
| authorships[0].institutions[0].ror | https://ror.org/002h8g185 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I51601045 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | University of Bath |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Julian Padget |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Computer Science, University of Bath, United Kingdom |
| authorships[1].author.id | https://openalex.org/A5082496615 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-3583-7671 |
| authorships[1].author.display_name | Marina De Vos |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I51601045 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Computer Science, University of Bath, United Kingdom |
| authorships[1].institutions[0].id | https://openalex.org/I51601045 |
| authorships[1].institutions[0].ror | https://ror.org/002h8g185 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I51601045 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | University of Bath |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Marina De Vos |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Computer Science, University of Bath, United Kingdom |
| authorships[2].author.id | https://openalex.org/A5004796246 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Charlie Ann Page |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I51601045 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Computer Science, University of Bath, United Kingdom |
| authorships[2].institutions[0].id | https://openalex.org/I51601045 |
| authorships[2].institutions[0].ror | https://ror.org/002h8g185 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I51601045 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | University of Bath |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Charlie Ann Page |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Computer Science, University of Bath, United Kingdom |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.ijcai.org/proceedings/2018/0066.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2022-05-12T00:00:00 |
| display_name | Deontic Sensors |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10456 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9994000196456909 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Multi-Agent Systems and Negotiation |
| related_works | https://openalex.org/W95169359, https://openalex.org/W2965429290, https://openalex.org/W2005488736, https://openalex.org/W3022720326, https://openalex.org/W17021890, https://openalex.org/W2015010295, https://openalex.org/W4288035708, https://openalex.org/W2057403330, https://openalex.org/W316245340, https://openalex.org/W2901784631 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2022 |
| counts_by_year[2].cited_by_count | 2 |
| counts_by_year[3].year | 2019 |
| counts_by_year[3].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.24963/ijcai.2018/66 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://www.ijcai.org/proceedings/2018/0066.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence |
| best_oa_location.landing_page_url | https://doi.org/10.24963/ijcai.2018/66 |
| primary_location.id | doi:10.24963/ijcai.2018/66 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | https://www.ijcai.org/proceedings/2018/0066.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence |
| primary_location.landing_page_url | https://doi.org/10.24963/ijcai.2018/66 |
| publication_date | 2018-07-01 |
| publication_year | 2018 |
| referenced_works | https://openalex.org/W1493688518, https://openalex.org/W177178283, https://openalex.org/W2141045952, https://openalex.org/W1502138680, https://openalex.org/W2518587964, https://openalex.org/W1497120980, https://openalex.org/W2165208522, https://openalex.org/W1534612753, https://openalex.org/W1990244532, https://openalex.org/W1577231857, https://openalex.org/W3129696931, https://openalex.org/W2285965743, https://openalex.org/W2009718960, https://openalex.org/W2175723801, https://openalex.org/W59912981, https://openalex.org/W4250649664, https://openalex.org/W2169003388, https://openalex.org/W50705544, https://openalex.org/W2510670874, https://openalex.org/W4298413470, https://openalex.org/W53407129, https://openalex.org/W2111139411, https://openalex.org/W4237276176 |
| referenced_works_count | 23 |
| abstract_inverted_index.- | 47, 52 |
| abstract_inverted_index.a | 15, 58, 120 |
| abstract_inverted_index.In | 118 |
| abstract_inverted_index.We | 56 |
| abstract_inverted_index.an | 74, 103, 115, 129 |
| abstract_inverted_index.as | 12, 154 |
| abstract_inverted_index.be | 7, 134, 152 |
| abstract_inverted_index.in | 2, 43 |
| abstract_inverted_index.is | 92 |
| abstract_inverted_index.of | 17, 28, 34, 73, 94, 114, 163 |
| abstract_inverted_index.or | 14, 53 |
| abstract_inverted_index.to | 24, 31, 68, 82, 138, 151, 158, 169 |
| abstract_inverted_index.we | 64 |
| abstract_inverted_index."on | 170 |
| abstract_inverted_index.MAS | 30, 45, 76, 85, 121, 140 |
| abstract_inverted_index.The | 78 |
| abstract_inverted_index.and | 50, 86, 128, 136, 160, 166 |
| abstract_inverted_index.are | 39 |
| abstract_inverted_index.can | 6, 125, 133 |
| abstract_inverted_index.how | 23, 81 |
| abstract_inverted_index.not | 54 |
| abstract_inverted_index.the | 18, 26, 32, 95, 99, 144 |
| abstract_inverted_index.use | 57 |
| abstract_inverted_index.More | 142 |
| abstract_inverted_index.This | 20 |
| abstract_inverted_index.call | 65 |
| abstract_inverted_index.each | 91, 111 |
| abstract_inverted_index.make | 69 |
| abstract_inverted_index.open | 29, 75 |
| abstract_inverted_index.part | 72 |
| abstract_inverted_index.such | 89 |
| abstract_inverted_index.that | 63, 90, 102, 109 |
| abstract_inverted_index.two. | 19 |
| abstract_inverted_index.with | 106 |
| abstract_inverted_index.(MAS) | 5 |
| abstract_inverted_index.(ROA) | 61 |
| abstract_inverted_index.agent | 104 |
| abstract_inverted_index.blend | 16 |
| abstract_inverted_index.brute | 100 |
| abstract_inverted_index.facts | 101 |
| abstract_inverted_index.other | 139 |
| abstract_inverted_index.paper | 21 |
| abstract_inverted_index.them, | 127 |
| abstract_inverted_index.trust | 165 |
| abstract_inverted_index.which | 38 |
| abstract_inverted_index.while | 97 |
| abstract_inverted_index.access | 168 |
| abstract_inverted_index.allows | 148 |
| abstract_inverted_index.couple | 84 |
| abstract_inverted_index.either | 41 |
| abstract_inverted_index.extend | 25 |
| abstract_inverted_index.facts, | 108 |
| abstract_inverted_index.opened | 137 |
| abstract_inverted_index.other, | 96 |
| abstract_inverted_index.routes | 157 |
| abstract_inverted_index.sensor | 146 |
| abstract_inverted_index.within | 9 |
| abstract_inverted_index.acquire | 126 |
| abstract_inverted_index.action. | 117 |
| abstract_inverted_index.agent's | 116 |
| abstract_inverted_index.agents, | 10 |
| abstract_inverted_index.capture | 110 |
| abstract_inverted_index.coupled | 49 |
| abstract_inverted_index.deontic | 66, 145 |
| abstract_inverted_index.loosely | 83 |
| abstract_inverted_index.opening | 156 |
| abstract_inverted_index.pattern | 79, 147 |
| abstract_inverted_index.re-use, | 161 |
| abstract_inverted_index.systems | 4 |
| abstract_inverted_index.tightly | 48 |
| abstract_inverted_index.without | 122 |
| abstract_inverted_index.agnostic | 93 |
| abstract_inverted_index.creation | 162 |
| abstract_inverted_index.demand'' | 171 |
| abstract_inverted_index.embedded | 42, 130 |
| abstract_inverted_index.existing | 44 |
| abstract_inverted_index.pattern, | 62 |
| abstract_inverted_index.present. | 55 |
| abstract_inverted_index.sensors, | 67 |
| abstract_inverted_index.Normative | 0 |
| abstract_inverted_index.addresses | 22 |
| abstract_inverted_index.currently | 40 |
| abstract_inverted_index.framework | 132 |
| abstract_inverted_index.normative | 35, 70, 87, 123, 131, 149, 172 |
| abstract_inverted_index.perceives | 105 |
| abstract_inverted_index.platforms | 46 |
| abstract_inverted_index.provision | 33 |
| abstract_inverted_index.published | 153 |
| abstract_inverted_index.reasoning | 36, 71, 150 |
| abstract_inverted_index.services, | 155 |
| abstract_inverted_index.specifies | 80 |
| abstract_inverted_index.augmenting | 98 |
| abstract_inverted_index.de-coupled | 135 |
| abstract_inverted_index.platforms. | 141 |
| abstract_inverted_index.principles | 27 |
| abstract_inverted_index.reasoning. | 173 |
| abstract_inverted_index.separately | 11 |
| abstract_inverted_index.frameworks, | 88 |
| abstract_inverted_index.multi-agent | 3 |
| abstract_inverted_index.represented | 8 |
| abstract_inverted_index.(formalized) | 164 |
| abstract_inverted_index.architecture | 60 |
| abstract_inverted_index.capabilities | 1, 124 |
| abstract_inverted_index.consequence, | 119 |
| abstract_inverted_index.importantly, | 143 |
| abstract_inverted_index.inaccessible | 51 |
| abstract_inverted_index.architecture. | 77 |
| abstract_inverted_index.capabilities, | 37 |
| abstract_inverted_index.certification | 159 |
| abstract_inverted_index.institution's | 112 |
| abstract_inverted_index.institutional | 107 |
| abstract_inverted_index.institutions, | 13 |
| abstract_inverted_index.interpretation | 113 |
| abstract_inverted_index.non-specialist | 167 |
| abstract_inverted_index.resource-oriented | 59 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.64910683 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |