[-] Show simple item record

dc.contributor.advisorShyu, Chi-Reneng
dc.contributor.authorGreen, Jason Michaeleng
dc.date.issued2009eng
dc.date.submitted2009 Springeng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on September 9, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. Chi-Ren Shyu.eng
dc.descriptionM.S. University of Missouri--Columbia 2009.eng
dc.description.abstractIn the midst of this genomics era, major plant genome databases are collecting massive amounts of heterogeneous information, including sequence data, gene product information, as well as images and descriptions of mutant phenotypes. While basic browsing and search capabilities are available to allow researchers to query and peruse the names and attributes of stored data, advanced search mechanisms that can take advantage of textual descriptions of various types of stored data are nonexistent. Furthermore, though much time and effort have been afforded to the development of plant-related ontologies, the knowledge embedded in these ontologies remains largely unused in available plant search mechanisms. Addressing both of these issues, we have developed a unique search engine for the phenotypes in MaizeGDB. This advanced search mechanism exploits the content and structure of available domain ontologies for the purposes of query enrichment, with currently both the Plant Ontology and Gene Ontology being utilized. The search engine also has the flexibility to integrate various text description sources to aid the user in retrieving desired phenotype information. This framework can be generalized to any domain with a domain-specific ontology or to sets of text sources that are heterogeneous and interconnected.eng
dc.description.bibrefIncludes bibliographical references.eng
dc.format.extentix, 84 pageseng
dc.identifier.oclc697528054eng
dc.identifier.urihttps://doi.org/10.32469/10355/9651eng
dc.identifier.urihttps://hdl.handle.net/10355/9651
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2009 Theseseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subject.lcshOntologies (Information retrieval)eng
dc.subject.lcshCorn -- Genome mapping -- Databaseseng
dc.subject.lcshPlant genomes -- Databaseseng
dc.subject.lcshPlant genome mappingeng
dc.titleMulti-source ontology-based maize phenotype search engineeng
dc.typeThesiseng
thesis.degree.disciplineComputer science (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


Files in this item

[PDF]
[PDF]
[PDF]

This item appears in the following Collection(s)

[-] Show simple item record