Konstruiranje ontologije iz meta podataka relacijske baze podataka

scientific master's theses

• Title (english): Creating ontology from meta-data of relational database
• Author: Damir Jurić
• Mentor: Zoran Skočir (mentor)
• Committee member: Zoran Skočir (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2007, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Artificial Intelligence
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing

Abstract

Ontologije predstavljaju glavni gradivni materijal za Semantički Web. Bez ontologija, računalna obrada podataka u Semantičkom Webu ne bi bila moguća. Velik dio podataka koji se nalazi na Webu, inicijalno dolazi iz relacijskih baza podataka. Podaci koji se nalaze u relacijskim bazama podataka postanu vidljivi tek kada se izgeneriraju dinamičke Web stranice i tek tada su dostupni za indeksiranje od strane Internet tražilica. Ovaj rad se bavi problemom migracije relacijske baze podataka u domenu Semantičkog Weba. Analizom meta podataka relacijske baze podataka, uočen je skup pravila po kojima se dijelovi relacijske sheme baze podataka mogu mapirati u ontologiju OWL, a da se pri tom ne promijene semantički odnosi koji već postoje između pojmova koje opisuje relacijska baza podataka. U radu su analizirana, predložena i opisana vlastita pravila mapiranja iz relacijske sheme baze podataka u ontologiju OWL, na jednom studijskom primjeru procesa konstruiranja ontologije. Razmotrena je i mogućnost uporabe semantičkih relacija leksičke baze WordNet u svrhu obogaćivanja stvorene ontologije i predložena su pravila za mapiranje semantičkih relacija WordNeta u ontologiju OWL.

Abstract (english)

Ontologies represent main building material for creation of Semantic Web. Without ontologies it could not be possible to enable machine processability of data on the Semantic Web. Data is usually stored inside relational databases that represent the backbone for dynamical Web sites. That data represents the invisible Web, ignored by search engines and Web crawlers. This work, deals with the problem of migration of relational database into the Semantic Web domain. After the analysis of relational database metadata, a set of rules have been perceived, that allows mapping between parts of relational database schema to OWL ontologies, but without altering the semantic relations that already exists between concepts in the relational database. This works presents genuine mapping rules for mapping relational database schema to OWL ontology on selected case study. Also, core ontology created from analyzing database schema is enriched using WordNet lexical database, by defining WordNet-to-OWL mapping rules.

• Keywords: ontologije; OWL; relacijske baze podataka; ekstrakcija ontologija; reverzno inženjerstvo; meta podaci
• Keywords (english): ontologies; OWL; relational Databases; ontologies extraction; reverse engineering; metadata
• Language: croatian
• URN:NBN: urn:nbn:hr:168:793465
• Study programme: Title: Postgraduate master programe in computing; Study programme type: university; Study level: postgraduate; Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-03-28 09:06:36