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dc.contributor.authorDas, PK
dc.contributor.authorIslam, MB
dc.contributor.authorGovernatori, G
dc.contributor.authorHashem, MMA
dc.date.accessioned2019-07-06T12:31:35Z
dc.date.available2019-07-06T12:31:35Z
dc.date.issued2019
dc.identifier.isbn9781538691113
dc.identifier.doi10.1109/ECACE.2019.8679284
dc.identifier.urihttp://hdl.handle.net/10072/384765
dc.description.abstractGovernments and enterprises need to make decisions and generate reports following the defined regulations and other legislative & normative documents. This is why the decision makers of the public & private agencies analyze the data that are stored mostly in (relational) databases from different service-oriented applications. Separate services and domains generate a different type of databases, which create significant challenges to generate simultaneous reasoning from different databases since these databases may consist of different attributes. In this paper, we present a database independent Rule-based reporting systems (RuleRS) architecture, which integrates multiple databases, in particular, multiple (relational) databases, with a rule reasoner and a rule engine to support producing decisions and generating reports simultaneously according to defined legal norms. We argue that the resulting RuleRS provide an efficient and flexible solution to the problem at hand for reasoning using defeasible inference. Experimental evaluations of RuleRS performance are also conducted for simultaneous reasoning from multiple relational databases.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencename2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)
dc.relation.ispartofconferencetitle2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019
dc.relation.ispartofdatefrom2019-02-07
dc.relation.ispartofdateto2019-02-09
dc.relation.ispartoflocationCox's Bazar, Bangladesh
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto6
dc.subject.fieldofresearchData management and data science
dc.subject.fieldofresearchcode4605
dc.titleDatabase Independent Analysis of Adverse Events Using Rule-Based Systems
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.hasfulltextNo Full Text
gro.griffith.authorGovernatori, Guido


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    Contains papers delivered by Griffith authors at national and international conferences.

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