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dc.contributor.authorYang, E
dc.contributor.authorHao, F
dc.contributor.authorNasridinov, A
dc.contributor.authorMin, G
dc.contributor.authorPark, D-S
dc.date.accessioned2022-01-04T09:56:12Z
dc.date.issued2022-05-06
dc.date.updated2022-01-01T10:13:03Z
dc.description.abstractKnowledge Graph (KG) is a relatively new concept that has garnered a lot of attention. Furthermore, the information in KGis frequently ambiguous and imprecise, necessitating the creation of a Fuzzy Knowledge Graph (FKG). FKG describes the imprecise information of the entity by employing the fuzzy value of predicates or objects. Entity summarization can extract the most concise and important information from lengthy descriptions of an entity. Existing work, however, focuses solely on entity summarization in KG while ignoring the fuzziness of entity relationships in FKG. Thus, this paper proposed an FFCA-based approach for query-oriented entity spatial-temporal summarization. Fuzzy Formal Concept Analysis (FFCA) is used to turn the FKG into the regular KG initially. The summarized RDF triples can then be obtained by combining the time-centric and location-centric triadic concepts from diverse FKGs. Finally, various templatebased queries are designed for evaluating the performance of the proposed approach.en_GB
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipFundamental Research Funds for the Central Universitiesen_GB
dc.identifier.citationSAC 22: 37th ACM/SIGAPP Symposium On Applied Computing, 25 - 29 April 2022, pp. 795 - 798en_GB
dc.identifier.doi10.1145/3477314.3506987
dc.identifier.grantnumber61702317en_GB
dc.identifier.grantnumber840922en_GB
dc.identifier.grantnumberGK202103080en_GB
dc.identifier.urihttp://hdl.handle.net/10871/128258
dc.identifierORCID: 0000-0001-5288-5523 (Hao, Fei)
dc.language.isoenen_GB
dc.publisherAssociation for Computing Machinery (ACM)en_GB
dc.rights© 2022. Copyright held by the owner/author(s). Publication rights licensed to ACM.en_GB
dc.subjectFuzzy Knowledge Graphen_GB
dc.subjectSpatial-temporal Summarizationen_GB
dc.subjectFuzzy Formal Concept Analysisen_GB
dc.subjectTriadic Formal Concept Analysisen_GB
dc.titleQuery-oriented Entity Spatial-temporal Summarization in Fuzzy Knowledge Graphen_GB
dc.typeConference paperen_GB
dc.date.available2022-01-04T09:56:12Z
dc.descriptionThis is the author accepted manuscript. The final version is available from the Association for Computing Machinery via the DOI in this recorden_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2021-12-17
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2021-12-17
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2022-01-01T10:13:11Z
refterms.versionFCDAM
refterms.dateFOA2022-06-09T12:55:07Z
refterms.panelBen_GB


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