prikaz prve stranice dokumenta Ontology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source
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doctoral thesis
Ontology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:263243
Ptiček, Marina
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Applied Computing

Cite this document

Ptiček, M. (2022). Ontology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:263243

Ptiček, Marina. "Ontology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:263243

Ptiček, Marina. "Ontology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:263243

Ptiček, M. (2022). 'Ontology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:263243

Ptiček M. Ontology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:263243

M. Ptiček, "Ontology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:263243

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Metadata
TitleOntology-supported schema enrichment of a relational data warehouse with multidimensional concepts from document-oriented data source
Title (croatian)Ontologijama podržano obogaćivanje sheme relacijskoga skladišta podataka višedimenzijskim konceptima iz dokumentno-orijentiranoga podatkovnoga izvora
AuthorMarina Ptiček
MentorBoris Vrdoljak (mentor)
Committee memberBoris Vrdoljak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Applied Computing)
Zagreb
Defense date and country2022-05-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
Abstract
The topic of this doctoral thesis is schematic integration of data that are stored in two different data models. Acquisition and integration of external data has the potential to improve predictive analytical models used in business intelligence. Analytical data are typically stored in a relational data warehouse, but the popularity of document-oriented data indicates their increasing availability in the information market. The relational model differs significantly from document-oriented model, which is characterized by semi-structuredness, heterogeneity, and absence of schema definition, all of which is a problem for their schematic integration. In this thesis, Semantic Web ontologies are used as a reconciling medium in bridging the differences between the multidimensional model in the relational implementation and the document-oriented dataset, which implies describing the relational data warehouse schema and the schema of the document-oriented dataset using ontologies to semi-automate their comparison and integration. The contribution of this thesis comprises two components: 1) method for ontology extraction from a document-oriented data source that results in an ontology suitable for multidimensional modeling, and 2) ontology-supported semi-automatic procedure for enrichment of a relational data warehouse schema with the multidimensional concepts found in a document-oriented data source.
Abstract (croatian)
Ova doktorska disertacija se bavi shematskom integracijom podataka pohranjenih u dvama različitim podatkovnim modelima. Akvizicija i integracija vanjskih podataka je jedan od načina poboljšanja prediktivnih analitičkih modela korištenih u inteligentnom poslovanju. Analitički podatci su tipično pohranjeni u relacijskom skladištu podataka, no popularnost dokumentno-orijentiranih podataka nagoviješta njihovu sve veću dostupnost na tržištu informacija. Relacijski model se znatno razlikuje od dokumentno-orijentiranog, kojega karakterizira polustrukturiranost, heterogenost i odsutnost jasne definicije sheme, što predstavlja problem za njihovu shematsku integraciju. U ovoj disertaciji, ontologije semantičkog weba koriste se kao pomirbeni medij u premošćivanju razlika između multidimenzionalnog modela u relacijskoj implementaciji i dokumentno-orijentiranoga podatkovnog skupa, što podrazumijeva opisivanje sheme relacijskog skladišta podataka i sheme dokumentno-orijentiranoga podatkovnog skupa pomoću ontologija s ciljem poluautomatizacije njihove usporedbe i integracije. Doprinos ove doktorske disertacije sastoji se od dva dijela: 1) metode izvlačenja ontologije iz dokumentno-orijentiranoga podatkovnog izvora koja rezultira ontologijom prikladnom za multidimenzionalno modeliranje, i 2) ontologijama podržanog postupka obogaćivanje sheme relacijskog skladišta podataka multidimenzionalnim konceptima pronađenim u dokumentno-orijentiranom podatkovnom izvoru.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:168:263243
Promotion2022
Study programmeTitle: Computer Science
Study programme type: university
Study level: postgraduate
Academic / professional title: Doktor znanosti (Doktor znanosti)
Type of resourceText
Extent[xv], 241 str. : ilustr. u boji ; 30 cm.
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2022-07-06 08:24:36

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