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undergraduate thesis
Predviđanje vrste pitanja za jezično sučelje bazi podataka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:792546
Arbanas, Fran Andrija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Arbanas, F. A. (2017). Predviđanje vrste pitanja za jezično sučelje bazi podataka (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:792546

Arbanas, Fran Andrija. "Predviđanje vrste pitanja za jezično sučelje bazi podataka." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:792546

Arbanas, Fran Andrija. "Predviđanje vrste pitanja za jezično sučelje bazi podataka." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:792546

Arbanas, F. A. (2017). 'Predviđanje vrste pitanja za jezično sučelje bazi podataka', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:792546

Arbanas FA. Predviđanje vrste pitanja za jezično sučelje bazi podataka [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:792546

F. A. Arbanas, "Predviđanje vrste pitanja za jezično sučelje bazi podataka", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:792546

Metadata
TitlePredviđanje vrste pitanja za jezično sučelje bazi podataka
Title (english)Question Type Classification for a Natural Language Database Interface
AuthorFran Andrija Arbanas
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberDomagoj Alagić (član povjerenstva)
Committee memberMartin Soldić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
S ciljem približavanja baza podataka ljudima bez znanja potrebnih za upravljanje istima počela su se razvijati jezična sučelja bazama podataka. Kako bi se izgradilo stabilno jezično sučelje nužno je odbacivati loše upite. Taj problem riješen je u ovom radu uporabom metoda otkrivanja novih vrijednosti i strojnog učenja. Sljedeći korak pri izgradnji jezičnog sučelja je predviđanje vrste pitanja u upitu, kako bi se upit mogao ispravno prevesti u jezik upita. U opsegu ovog rada taj problem riješen je klasifikacijom u 14 klasa koristeći metode obrade prirodnog jezika i strojnog učenja. U radu su detaljno opisani algoritmi koji su korišteni te postupci kojima su se rezultati dobili. Skup podataka na kojima su modeli učeni ručno je izgrađen te označen.
Abstract (english)
Natural language interfaces to databases began to develop with the goal to bring databases closer to the people with no knowledge about them. To make a natural language interface it is necessary to filter out spam queries. That problem is solved in this thesis by using methods of novelty detection and machine learning. The next step in creating a natural language interface is predicting the question type in query, in order for the query to be easily translated to query language. In the scope of this thesis that problem was solved by classification into 14 classes using methods of natural language processing and machine learning. Algorithms that were used in the thesis are also thoroughly explained as well as the methods by which we got results. Dataset on which the models were trained was compiled and labeled by hand.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:792546
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 18:40:08