Integrating Flexibility and Fuzziness into a Question Driven Query Model

Simple item page
atmire.migration.oldid4042
dc.contributor.advisorRokne, Jon
dc.contributor.authorSarhan, Abdullah
dc.contributor.committeememberAlhajj, Reda
dc.contributor.committeememberFar, Behrouz
dc.date.accessioned2016-01-18T18:59:52Z
dc.date.available2016-01-18T18:59:52Z
dc.date.issued2016-01-18
dc.date.submitted2016en
dc.description.abstractData plays an important role in our daily life. Thus, data collection, storage, maintenance and processing continue to attract considerable attention. Data may exist in various formats, ranging from unstructured to structured as the two extremes. Traditionally, researchers and practitioners cooperated and developed various data models which form the main foundation for existing database management systems. The relational data model is still dominating despite the rapid development in the techniques used for data collection, storage and processing. Further, a relational database management system supports a structured query language (SQL) for data processing, and it is not possible to access and retrieve data from a relational database without knowing how to use SQL. However, the wide usage of relational databases motivated researchers to develop more user friendly interfaces which would allow a larger population of users to access relational databases. Such interfaces range from visual to natural language based. This thesis contributes a question driven query model which falls under the natural language based category. The target is to make databases reachable by a larger population, especially after the Internet increased database availability. The proposed model supports fuzziness where every user is given the freedom to de ne his/her own understanding of fuzzy terms. The developed system absorbs the fuzzy understanding of each user to utilize it while deciding on the result to be communicated back as answer to the raised question. Data mining techniques are employed to guide users in de ning their fuzzy understanding. The developed model is intended to help users to retrieve the data they want from a relational database without expecting them to know SQL. In the current version only questions written in English are allowed. The system handles di erent types of questions, such as (1) simple questions, (2) complex questions with inner joins and where conditions, (3) questions that involves the usage of aggregate functions (e.g., min, max, etc.), and (4) questions with fuzzy terms. The reported test results demonstrate the e ectiveness of the developed system in handling various types of questions raised by a heterogeneous set of users ranging from professionals to naive.en_US
dc.identifier.citationSarhan, A. (2016). Integrating Flexibility and Fuzziness into a Question Driven Query Model (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26577en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/26577
dc.identifier.urihttp://hdl.handle.net/11023/2760
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectComputer Science
dc.subject.classificationFuzzy Modelen_US
dc.subject.classificationQuery Modelen_US
dc.subject.classificationRelational Databaseen_US
dc.subject.classificationNatural Language Processingen_US
dc.subject.classificationData Miningen_US
dc.titleIntegrating Flexibility and Fuzziness into a Question Driven Query Model
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ucalgary_2016_sarhan_abdullah.pdf
Size:
2.66 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Open Theses and Dissertations