Izdelava pomenskega iskalnika

diplomsko delo

David Vrbančič (Author), Milan Ojsteršek (Mentor)

Abstract

Diplomsko delo obravnava izdelavo pomenskega iskalnika in aplikacije, s pomočjo katere iz ontologije pridobimo podatke, ki jih nato vpišemo v podatkovno bazo SQL. V teoretičnem delu smo opisali pojma pomenskega spleta in ontologij ter kakšne programske jezike uporabljamo za pomenski opis vsebin in povpraševanje po njih. V praktičnem delu smo izdelali pomenski iskalnik, ki izvaja povpraševanja po podatkih o zaposlenih na fakulteti. Ob vpisu ključnih besed ali vprašanja v naravnem jeziku poišče ustrezne primerke teh razredov. Po analizi pomena besednih zvez znotraj vprašanja, iskalnik iz podatkov v relacijski podatkovni bazi vrne ustrezen odgovor.

Keywords

pomenski iskalnik;ontologije;baze znanja;RDF;OWL;

Data

Language:	Slovenian
Year of publishing:	2013
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[D. Vrbančič]
UDC:	004.777(043.2)
COBISS:	17325334
Views:	1514
Downloads:	96
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	IMPLEMENTATION OF SEMANTIC SEARCH ENGINE
Secondary abstract:	The Diploma Thesis deals with working out the semantic search engine and the application by means of which information from the ontology can be obtained and consequently entered into the SQL database. In the theoretical section, we represented the conception of the semantic Web and the ontologies and which program languages are used for semantic description of the contents and the inquiry for them. In the practical section, we worked out the semantic search engine performing information inquiries about the staff employed at the Faculty. By entering key words or questions in natural language , the search engine looks for the corresponding samples related to these categories. After analysing the meaning of the word relations within the inquiry, the search engine renders corresponding results from the information in the related database.
Secondary keywords:	semantic search engine;ontology;knowledge base;RDF;OWL;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages:	XI, 40 f.
ID:	8727268