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Title:IZDELAVA POMENSKEGA ISKALNIKA
Authors:ID Vrbančič, David (Author)
ID Ojsteršek, Milan (Mentor) More about this mentor... New window
Files:.pdf UNI_Vrbancic_David_2013.pdf (2,04 MB)
MD5: F1AAD9DB4E8D8832F36372917D483695
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
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
Place of publishing:Maribor
Publisher:[D. Vrbančič]
Year of publishing:2013
PID:20.500.12556/DKUM-42240 New window
UDC:004.777(043.2)
COBISS.SI-ID:17325334 New window
NUK URN:URN:SI:UM:DK:BNQWRK2B
Publication date in DKUM:25.09.2013
Views:2128
Downloads:137
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:IMPLEMENTATION OF SEMANTIC SEARCH ENGINE
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.
Keywords:semantic search engine, ontology, knowledge base, RDF, OWL


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