Matches in SemOpenAlex for { <https://semopenalex.org/work/W2536761689> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2536761689 abstract "Bayesian Networks (BNs) are popular computer models used to perform reasoning under uncertainty. They are popular as they are one of the few computer models able to be constructed by analysing historical data or expert elicitation. The main contribution of this thesis is a new workflow for expert elicitation of BNs, aiming to reduce the associated knowledge elicitation bottleneck. This bottleneck is caused by logistical issues associated with interviewing multiple experts, resolving conflicting opinions among experts, and the combinatorial explosion that occurs when eliciting probabilities. The workflow proposed in this thesis brings together research from the fields of BN construction, knowledge acquisition, the survey methodology, and crowd sourcing. The end result is a workflow for conducting online surveys (SEBN) which has been implemented in an open source online survey tool called BN Elicitator (BNE). This workflow allows a greater number of experts to contribute to the construction of BNs compared to traditional elicitation approaches. It also reduces the workload of the knowledge engineer facilitating the BN elicitation and minimizes the time required of each expert contributing knowledge to the BN.Two evaluation surveys were conducted using the BNE software to measure how successfully the newly proposed technique was able to elicit BNs. The results of these evaluations showed a small improvement over the currently employed methods of eliciting BNs from experts (primarily face to face interviews) but also many undesirable outcomes. The improvements obtained allowed the BNE software to facilitate the elicitation of a BN was faster than would have otherwise been required for face to face interviews. However, the BN resulting from the evaluation did not compare favourably to an existing published BN. Issues with the methods used to collate survey responses into a BN were identified and discussed, such as the choice of crowd sourcing algorithms. Such issues highlight the need for further research in this area to improve the accuracy of BNs elicited using online surveys." @default.
- W2536761689 created "2016-10-28" @default.
- W2536761689 creator A5040884232 @default.
- W2536761689 date "2017-03-03" @default.
- W2536761689 modified "2023-09-26" @default.
- W2536761689 title "Eliciting Bayesian networks via online surveys: a new approach to knowledge elicitation" @default.
- W2536761689 doi "https://doi.org/10.4225/03/58b911533a53c" @default.
- W2536761689 hasPublicationYear "2017" @default.
- W2536761689 type Work @default.
- W2536761689 sameAs 2536761689 @default.
- W2536761689 citedByCount "0" @default.
- W2536761689 crossrefType "dissertation" @default.
- W2536761689 hasAuthorship W2536761689A5040884232 @default.
- W2536761689 hasConcept C105002631 @default.
- W2536761689 hasConcept C105795698 @default.
- W2536761689 hasConcept C111919701 @default.
- W2536761689 hasConcept C149635348 @default.
- W2536761689 hasConcept C154945302 @default.
- W2536761689 hasConcept C177212765 @default.
- W2536761689 hasConcept C17744445 @default.
- W2536761689 hasConcept C199360897 @default.
- W2536761689 hasConcept C199539241 @default.
- W2536761689 hasConcept C24845683 @default.
- W2536761689 hasConcept C2522767166 @default.
- W2536761689 hasConcept C2777220311 @default.
- W2536761689 hasConcept C2777904410 @default.
- W2536761689 hasConcept C2778476105 @default.
- W2536761689 hasConcept C2780513914 @default.
- W2536761689 hasConcept C33724603 @default.
- W2536761689 hasConcept C33923547 @default.
- W2536761689 hasConcept C41008148 @default.
- W2536761689 hasConcept C56739046 @default.
- W2536761689 hasConcept C58328972 @default.
- W2536761689 hasConcept C72161134 @default.
- W2536761689 hasConcept C77088390 @default.
- W2536761689 hasConceptScore W2536761689C105002631 @default.
- W2536761689 hasConceptScore W2536761689C105795698 @default.
- W2536761689 hasConceptScore W2536761689C111919701 @default.
- W2536761689 hasConceptScore W2536761689C149635348 @default.
- W2536761689 hasConceptScore W2536761689C154945302 @default.
- W2536761689 hasConceptScore W2536761689C177212765 @default.
- W2536761689 hasConceptScore W2536761689C17744445 @default.
- W2536761689 hasConceptScore W2536761689C199360897 @default.
- W2536761689 hasConceptScore W2536761689C199539241 @default.
- W2536761689 hasConceptScore W2536761689C24845683 @default.
- W2536761689 hasConceptScore W2536761689C2522767166 @default.
- W2536761689 hasConceptScore W2536761689C2777220311 @default.
- W2536761689 hasConceptScore W2536761689C2777904410 @default.
- W2536761689 hasConceptScore W2536761689C2778476105 @default.
- W2536761689 hasConceptScore W2536761689C2780513914 @default.
- W2536761689 hasConceptScore W2536761689C33724603 @default.
- W2536761689 hasConceptScore W2536761689C33923547 @default.
- W2536761689 hasConceptScore W2536761689C41008148 @default.
- W2536761689 hasConceptScore W2536761689C56739046 @default.
- W2536761689 hasConceptScore W2536761689C58328972 @default.
- W2536761689 hasConceptScore W2536761689C72161134 @default.
- W2536761689 hasConceptScore W2536761689C77088390 @default.
- W2536761689 hasLocation W25367616891 @default.
- W2536761689 hasOpenAccess W2536761689 @default.
- W2536761689 hasPrimaryLocation W25367616891 @default.
- W2536761689 hasRelatedWork W175429356 @default.
- W2536761689 hasRelatedWork W176004218 @default.
- W2536761689 hasRelatedWork W1969386011 @default.
- W2536761689 hasRelatedWork W1985881290 @default.
- W2536761689 hasRelatedWork W1992085929 @default.
- W2536761689 hasRelatedWork W2020552089 @default.
- W2536761689 hasRelatedWork W2020849482 @default.
- W2536761689 hasRelatedWork W2160449526 @default.
- W2536761689 hasRelatedWork W2182931347 @default.
- W2536761689 hasRelatedWork W2201982753 @default.
- W2536761689 hasRelatedWork W2480574546 @default.
- W2536761689 hasRelatedWork W2517163120 @default.
- W2536761689 hasRelatedWork W2751124103 @default.
- W2536761689 hasRelatedWork W2755497402 @default.
- W2536761689 hasRelatedWork W2777623842 @default.
- W2536761689 hasRelatedWork W2887766804 @default.
- W2536761689 hasRelatedWork W2921390405 @default.
- W2536761689 hasRelatedWork W3122545355 @default.
- W2536761689 hasRelatedWork W3127536363 @default.
- W2536761689 hasRelatedWork W68763225 @default.
- W2536761689 isParatext "false" @default.
- W2536761689 isRetracted "false" @default.
- W2536761689 magId "2536761689" @default.
- W2536761689 workType "dissertation" @default.