Utilizing Knowledge Graph to Build a Scientific and Technological Knowledge Management System for Grid Industry Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.2478/amns.2023.2.01064
Based on knowledge mapping, this paper designs the application architecture of the scientific and technological knowledge management system for the power grid industry and proposes the design of key modules such as knowledge extraction, knowledge fusion and cross-checking. In terms of knowledge fusion, this paper proposes the functional design of conflict detection, entity alignment based on deep learning, data fusion based on linking and cross-validation based on confidence assessment. In terms of cross-truth, this paper investigates the credibility calculation of candidate message sets, the representation of candidate message sets, and the construction of logic rules for cross-truth models. Finally, this paper evaluates the system’s term extraction, concept recognition, and performance. The results show that the average elapsed time for each function of graph visualization, keyword search, keyword search, advanced search, and advanced search in the knowledge management system to be executed 20 times is 1.33s, 1.27s, 3.14s, 1.47s, and 3.26s, respectively, and the average response time is only 2.1s. Therefore, the knowledge management system for grid industry science and technology presented in this paper is effective.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2478/amns.2023.2.01064
- https://sciendo.com/pdf/10.2478/amns.2023.2.01064
- OA Status
- gold
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388343958
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388343958Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2478/amns.2023.2.01064Digital Object Identifier
- Title
-
Utilizing Knowledge Graph to Build a Scientific and Technological Knowledge Management System for Grid IndustryWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-04Full publication date if available
- Authors
-
Yuzhong Zhou, Zhengping Lin, Qinghong Wang, Jiahao Shi, Yuliang YangList of authors in order
- Landing page
-
https://doi.org/10.2478/amns.2023.2.01064Publisher landing page
- PDF URL
-
https://sciendo.com/pdf/10.2478/amns.2023.2.01064Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://sciendo.com/pdf/10.2478/amns.2023.2.01064Direct OA link when available
- Concepts
-
Computer science, Grid, Credibility, Visualization, Knowledge extraction, Data mining, Key (lock), Graph, Information retrieval, Knowledge management, Artificial intelligence, Data science, Theoretical computer science, Law, Mathematics, Political science, Geometry, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
18Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4388343958 |
|---|---|
| doi | https://doi.org/10.2478/amns.2023.2.01064 |
| ids.doi | https://doi.org/10.2478/amns.2023.2.01064 |
| ids.openalex | https://openalex.org/W4388343958 |
| fwci | 0.0 |
| type | article |
| title | Utilizing Knowledge Graph to Build a Scientific and Technological Knowledge Management System for Grid Industry |
| biblio.issue | 1 |
| biblio.volume | 9 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T14280 |
| topics[0].field.id | https://openalex.org/fields/18 |
| topics[0].field.display_name | Decision Sciences |
| topics[0].score | 0.9207000136375427 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1802 |
| topics[0].subfield.display_name | Information Systems and Management |
| topics[0].display_name | Big Data Technologies and Applications |
| is_xpac | False |
| apc_list.value | 1500 |
| apc_list.currency | USD |
| apc_list.value_usd | 1500 |
| apc_paid.value | 1500 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1500 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7907376289367676 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C187691185 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6178249716758728 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2020720 |
| concepts[1].display_name | Grid |
| concepts[2].id | https://openalex.org/C2780224610 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5950877070426941 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1530061 |
| concepts[2].display_name | Credibility |
| concepts[3].id | https://openalex.org/C36464697 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4517894387245178 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q451553 |
| concepts[3].display_name | Visualization |
| concepts[4].id | https://openalex.org/C120567893 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4481380581855774 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1582085 |
| concepts[4].display_name | Knowledge extraction |
| concepts[5].id | https://openalex.org/C124101348 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4395586848258972 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[5].display_name | Data mining |
| concepts[6].id | https://openalex.org/C26517878 |
| concepts[6].level | 2 |
| concepts[6].score | 0.423954039812088 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q228039 |
| concepts[6].display_name | Key (lock) |
| concepts[7].id | https://openalex.org/C132525143 |
| concepts[7].level | 2 |
| concepts[7].score | 0.41012144088745117 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q141488 |
| concepts[7].display_name | Graph |
| concepts[8].id | https://openalex.org/C23123220 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3847189247608185 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q816826 |
| concepts[8].display_name | Information retrieval |
| concepts[9].id | https://openalex.org/C56739046 |
| concepts[9].level | 1 |
| concepts[9].score | 0.37862443923950195 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q192060 |
| concepts[9].display_name | Knowledge management |
| concepts[10].id | https://openalex.org/C154945302 |
| concepts[10].level | 1 |
| concepts[10].score | 0.36109036207199097 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[10].display_name | Artificial intelligence |
| concepts[11].id | https://openalex.org/C2522767166 |
| concepts[11].level | 1 |
| concepts[11].score | 0.33560001850128174 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[11].display_name | Data science |
| concepts[12].id | https://openalex.org/C80444323 |
| concepts[12].level | 1 |
| concepts[12].score | 0.19672614336013794 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q2878974 |
| concepts[12].display_name | Theoretical computer science |
| concepts[13].id | https://openalex.org/C199539241 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[13].display_name | Law |
| concepts[14].id | https://openalex.org/C33923547 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[14].display_name | Mathematics |
| concepts[15].id | https://openalex.org/C17744445 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[15].display_name | Political science |
| concepts[16].id | https://openalex.org/C2524010 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[16].display_name | Geometry |
| concepts[17].id | https://openalex.org/C38652104 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[17].display_name | Computer security |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7907376289367676 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/grid |
| keywords[1].score | 0.6178249716758728 |
| keywords[1].display_name | Grid |
| keywords[2].id | https://openalex.org/keywords/credibility |
| keywords[2].score | 0.5950877070426941 |
| keywords[2].display_name | Credibility |
| keywords[3].id | https://openalex.org/keywords/visualization |
| keywords[3].score | 0.4517894387245178 |
| keywords[3].display_name | Visualization |
| keywords[4].id | https://openalex.org/keywords/knowledge-extraction |
| keywords[4].score | 0.4481380581855774 |
| keywords[4].display_name | Knowledge extraction |
| keywords[5].id | https://openalex.org/keywords/data-mining |
| keywords[5].score | 0.4395586848258972 |
| keywords[5].display_name | Data mining |
| keywords[6].id | https://openalex.org/keywords/key |
| keywords[6].score | 0.423954039812088 |
| keywords[6].display_name | Key (lock) |
| keywords[7].id | https://openalex.org/keywords/graph |
| keywords[7].score | 0.41012144088745117 |
| keywords[7].display_name | Graph |
| keywords[8].id | https://openalex.org/keywords/information-retrieval |
| keywords[8].score | 0.3847189247608185 |
| keywords[8].display_name | Information retrieval |
| keywords[9].id | https://openalex.org/keywords/knowledge-management |
| keywords[9].score | 0.37862443923950195 |
| keywords[9].display_name | Knowledge management |
| keywords[10].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[10].score | 0.36109036207199097 |
| keywords[10].display_name | Artificial intelligence |
| keywords[11].id | https://openalex.org/keywords/data-science |
| keywords[11].score | 0.33560001850128174 |
| keywords[11].display_name | Data science |
| keywords[12].id | https://openalex.org/keywords/theoretical-computer-science |
| keywords[12].score | 0.19672614336013794 |
| keywords[12].display_name | Theoretical computer science |
| language | en |
| locations[0].id | doi:10.2478/amns.2023.2.01064 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210209777 |
| locations[0].source.issn | 2444-8656 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2444-8656 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Applied Mathematics and Nonlinear Sciences |
| locations[0].source.host_organization | https://openalex.org/P4310313990 |
| locations[0].source.host_organization_name | De Gruyter |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310313990 |
| locations[0].source.host_organization_lineage_names | De Gruyter |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://sciendo.com/pdf/10.2478/amns.2023.2.01064 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Applied Mathematics and Nonlinear Sciences |
| locations[0].landing_page_url | https://doi.org/10.2478/amns.2023.2.01064 |
| locations[1].id | pmh:oai:doaj.org/article:01294c259f044a999e0b591435103fe3 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024) |
| locations[1].landing_page_url | https://doaj.org/article/01294c259f044a999e0b591435103fe3 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5102482399 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Yuzhong Zhou |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[0].affiliations[0].raw_affiliation_string | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[0].institutions[0].id | https://openalex.org/I74872605 |
| authorships[0].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yuzhong Zhou |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[1].author.id | https://openalex.org/A5075983961 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Zhengping Lin |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[1].affiliations[0].raw_affiliation_string | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[1].institutions[0].id | https://openalex.org/I74872605 |
| authorships[1].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhengping Lin |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[2].author.id | https://openalex.org/A5004018057 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-0432-0741 |
| authorships[2].author.display_name | Qinghong Wang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[2].affiliations[0].raw_affiliation_string | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[2].institutions[0].id | https://openalex.org/I74872605 |
| authorships[2].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[2].institutions[0].type | company |
| authorships[2].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Qinghong Wang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[3].author.id | https://openalex.org/A5101384560 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-5838-3735 |
| authorships[3].author.display_name | Jiahao Shi |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[3].affiliations[0].raw_affiliation_string | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[3].institutions[0].id | https://openalex.org/I74872605 |
| authorships[3].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[3].institutions[0].type | company |
| authorships[3].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jiahao Shi |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[4].author.id | https://openalex.org/A5100397745 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-1530-8692 |
| authorships[4].author.display_name | Yuliang Yang |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[4].affiliations[0].raw_affiliation_string | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| authorships[4].institutions[0].id | https://openalex.org/I74872605 |
| authorships[4].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[4].institutions[0].type | company |
| authorships[4].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Yuliang Yang |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | China Southern Power Grid Research Institute Co., Ltd ., Guangzhou , Guangdong , , China . |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://sciendo.com/pdf/10.2478/amns.2023.2.01064 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2023-11-05T00:00:00 |
| display_name | Utilizing Knowledge Graph to Build a Scientific and Technological Knowledge Management System for Grid Industry |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T14280 |
| primary_topic.field.id | https://openalex.org/fields/18 |
| primary_topic.field.display_name | Decision Sciences |
| primary_topic.score | 0.9207000136375427 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1802 |
| primary_topic.subfield.display_name | Information Systems and Management |
| primary_topic.display_name | Big Data Technologies and Applications |
| related_works | https://openalex.org/W2388687352, https://openalex.org/W1990162851, https://openalex.org/W2370187191, https://openalex.org/W2369854048, https://openalex.org/W2374291020, https://openalex.org/W2355907197, https://openalex.org/W3171042291, https://openalex.org/W2390961115, https://openalex.org/W2388138913, https://openalex.org/W4396769302 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.2478/amns.2023.2.01064 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210209777 |
| best_oa_location.source.issn | 2444-8656 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2444-8656 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Applied Mathematics and Nonlinear Sciences |
| best_oa_location.source.host_organization | https://openalex.org/P4310313990 |
| best_oa_location.source.host_organization_name | De Gruyter |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310313990 |
| best_oa_location.source.host_organization_lineage_names | De Gruyter |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://sciendo.com/pdf/10.2478/amns.2023.2.01064 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Applied Mathematics and Nonlinear Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.2478/amns.2023.2.01064 |
| primary_location.id | doi:10.2478/amns.2023.2.01064 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210209777 |
| primary_location.source.issn | 2444-8656 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2444-8656 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Applied Mathematics and Nonlinear Sciences |
| primary_location.source.host_organization | https://openalex.org/P4310313990 |
| primary_location.source.host_organization_name | De Gruyter |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310313990 |
| primary_location.source.host_organization_lineage_names | De Gruyter |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://sciendo.com/pdf/10.2478/amns.2023.2.01064 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Applied Mathematics and Nonlinear Sciences |
| primary_location.landing_page_url | https://doi.org/10.2478/amns.2023.2.01064 |
| publication_date | 2023-11-04 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2765850552, https://openalex.org/W4312038543, https://openalex.org/W4239408741, https://openalex.org/W2801299118, https://openalex.org/W2514401523, https://openalex.org/W3214625971, https://openalex.org/W2574851760, https://openalex.org/W3092704589, https://openalex.org/W4382296983, https://openalex.org/W2789338679, https://openalex.org/W4312383862, https://openalex.org/W3108475832, https://openalex.org/W3026427753, https://openalex.org/W4220924858, https://openalex.org/W3097625499, https://openalex.org/W4281988649, https://openalex.org/W2953799477, https://openalex.org/W3002229233 |
| referenced_works_count | 18 |
| abstract_inverted_index.20 | 142 |
| abstract_inverted_index.In | 39, 70 |
| abstract_inverted_index.as | 32 |
| abstract_inverted_index.be | 140 |
| abstract_inverted_index.in | 134, 172 |
| abstract_inverted_index.is | 144, 157, 175 |
| abstract_inverted_index.of | 11, 28, 41, 50, 72, 80, 86, 93, 122 |
| abstract_inverted_index.on | 2, 56, 62, 67 |
| abstract_inverted_index.to | 139 |
| abstract_inverted_index.The | 111 |
| abstract_inverted_index.and | 14, 24, 37, 64, 90, 109, 131, 149, 152, 169 |
| abstract_inverted_index.for | 19, 96, 119, 165 |
| abstract_inverted_index.key | 29 |
| abstract_inverted_index.the | 8, 12, 20, 26, 47, 77, 84, 91, 103, 115, 135, 153, 161 |
| abstract_inverted_index.data | 59 |
| abstract_inverted_index.deep | 57 |
| abstract_inverted_index.each | 120 |
| abstract_inverted_index.grid | 22, 166 |
| abstract_inverted_index.only | 158 |
| abstract_inverted_index.show | 113 |
| abstract_inverted_index.such | 31 |
| abstract_inverted_index.term | 105 |
| abstract_inverted_index.that | 114 |
| abstract_inverted_index.this | 5, 44, 74, 100, 173 |
| abstract_inverted_index.time | 118, 156 |
| abstract_inverted_index.2.1s. | 159 |
| abstract_inverted_index.Based | 1 |
| abstract_inverted_index.based | 55, 61, 66 |
| abstract_inverted_index.graph | 123 |
| abstract_inverted_index.logic | 94 |
| abstract_inverted_index.paper | 6, 45, 75, 101, 174 |
| abstract_inverted_index.power | 21 |
| abstract_inverted_index.rules | 95 |
| abstract_inverted_index.sets, | 83, 89 |
| abstract_inverted_index.terms | 40, 71 |
| abstract_inverted_index.times | 143 |
| abstract_inverted_index.1.27s, | 146 |
| abstract_inverted_index.1.33s, | 145 |
| abstract_inverted_index.1.47s, | 148 |
| abstract_inverted_index.3.14s, | 147 |
| abstract_inverted_index.3.26s, | 150 |
| abstract_inverted_index.design | 27, 49 |
| abstract_inverted_index.entity | 53 |
| abstract_inverted_index.fusion | 36, 60 |
| abstract_inverted_index.search | 133 |
| abstract_inverted_index.system | 18, 138, 164 |
| abstract_inverted_index.average | 116, 154 |
| abstract_inverted_index.concept | 107 |
| abstract_inverted_index.designs | 7 |
| abstract_inverted_index.elapsed | 117 |
| abstract_inverted_index.fusion, | 43 |
| abstract_inverted_index.keyword | 125, 127 |
| abstract_inverted_index.linking | 63 |
| abstract_inverted_index.message | 82, 88 |
| abstract_inverted_index.models. | 98 |
| abstract_inverted_index.modules | 30 |
| abstract_inverted_index.results | 112 |
| abstract_inverted_index.science | 168 |
| abstract_inverted_index.search, | 126, 128, 130 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Finally, | 99 |
| abstract_inverted_index.advanced | 129, 132 |
| abstract_inverted_index.conflict | 51 |
| abstract_inverted_index.executed | 141 |
| abstract_inverted_index.function | 121 |
| abstract_inverted_index.industry | 23, 167 |
| abstract_inverted_index.mapping, | 4 |
| abstract_inverted_index.proposes | 25, 46 |
| abstract_inverted_index.response | 155 |
| abstract_inverted_index.alignment | 54 |
| abstract_inverted_index.candidate | 81, 87 |
| abstract_inverted_index.evaluates | 102 |
| abstract_inverted_index.knowledge | 3, 16, 33, 35, 42, 136, 162 |
| abstract_inverted_index.learning, | 58 |
| abstract_inverted_index.presented | 171 |
| abstract_inverted_index.Therefore, | 160 |
| abstract_inverted_index.confidence | 68 |
| abstract_inverted_index.detection, | 52 |
| abstract_inverted_index.effective. | 176 |
| abstract_inverted_index.functional | 48 |
| abstract_inverted_index.management | 17, 137, 163 |
| abstract_inverted_index.scientific | 13 |
| abstract_inverted_index.system’s | 104 |
| abstract_inverted_index.technology | 170 |
| abstract_inverted_index.application | 9 |
| abstract_inverted_index.assessment. | 69 |
| abstract_inverted_index.calculation | 79 |
| abstract_inverted_index.credibility | 78 |
| abstract_inverted_index.cross-truth | 97 |
| abstract_inverted_index.extraction, | 34, 106 |
| abstract_inverted_index.architecture | 10 |
| abstract_inverted_index.construction | 92 |
| abstract_inverted_index.cross-truth, | 73 |
| abstract_inverted_index.investigates | 76 |
| abstract_inverted_index.performance. | 110 |
| abstract_inverted_index.recognition, | 108 |
| abstract_inverted_index.respectively, | 151 |
| abstract_inverted_index.technological | 15 |
| abstract_inverted_index.representation | 85 |
| abstract_inverted_index.visualization, | 124 |
| abstract_inverted_index.cross-checking. | 38 |
| abstract_inverted_index.cross-validation | 65 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5075983961 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I74872605 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.21341954 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |