Crowsdsourcing semantic web

Minnion, Anton Crowsdsourcing semantic web. PhD thesis, University of Liverpool.

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Abstract

Finding easier and less resource-intensive ways of building knowledge resources is neces- sary to help broaden the coverage and use of semantic web technologies. Crowdsourcing presents a means through which knowledge can be efficiently acquired to build semantic resources. Crowds can be identified that represent communities whose knowledge could be used to build domain ontologies. This work presents a knowledge acquisition approach aimed at incorporating ontology engineering tasks into community crowd activity. The success of this approach is evaluated by the degree to which a crowd consensus is reached regarding the description of the target domain. Two experiments are described which test the effectiveness of the approach. The first experiment tests the approach by using a crowd that is aware of the knowledge acquisition task. In the second experiment, the crowd is unaware of the knowledge acquisition task and is motivated to contribute through the use of an interactive map. The results of these two experiments show that a similar consensus is reached from both experiments, suggesting that the approach offered provides a valid mechanism for incorporating knowledge acquisition tasks into routine crowd activity.

Item Type:	Thesis (PhD)
Additional Information:	Date: 2015-05 (completed)
Uncontrolled Keywords:	ontologies, crowdsourcing
Subjects:	?? QA75 ??
Depositing User:	Symplectic Admin
Date Deposited:	30 Jul 2015 08:28
Last Modified:	17 Dec 2022 01:07
DOI:	10.17638/02013923
URI:	https://livrepository.liverpool.ac.uk/id/eprint/2013923