<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-GSJO3XDR/9a0595fd-0b73-4232-bae3-47cb0c62326c/PDF"><dcterms:extent>1359 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-GSJO3XDR/ad88df5a-39d0-482f-a331-c9f8967efe06/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="1993-2025"><edm:begin xml:lang="en">1993</edm:begin><edm:end xml:lang="en">2025</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-GSJO3XDR"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:spr-PGKNDR0J" /><dcterms:issued>2023</dcterms:issued><dc:creator>Hudobivnik, Živa</dc:creator><dc:creator>Savinek, Maja</dc:creator><dc:creator>Trkman, Marina</dc:creator><dc:format xml:lang="sl">letnik:31</dc:format><dc:format xml:lang="sl">številka:4</dc:format><dc:format xml:lang="sl">str. 179-191</dc:format><dc:identifier>DOI:10.31449/upinf.219</dc:identifier><dc:identifier>ISSN:1318-1882</dc:identifier><dc:identifier>COBISSID_HOST:189023747</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-GSJO3XDR</dc:identifier><dc:language>sl</dc:language><dc:publisher xml:lang="sl">Slovensko društvo Informatika</dc:publisher><dcterms:isPartOf xml:lang="sl">Uporabna informatika (Ljubljana)</dcterms:isPartOf><dc:subject xml:lang="sl">chatbot</dc:subject><dc:subject xml:lang="sl">ChatGPT</dc:subject><dc:subject xml:lang="sl">focus groups</dc:subject><dc:subject xml:lang="sl">fokusne skupine</dc:subject><dc:subject xml:lang="sl">intranet</dc:subject><dc:subject xml:lang="sl">pogovorni robot</dc:subject><dcterms:temporal rdf:resource="1993-2025" /><dc:title xml:lang="sl">Uporaba pogovornega robota za podporo intranetu| primer Elektro Ljubljana|</dc:title><dc:description xml:lang="sl">One of the important technologies that are key to the popularity of conversational robots today are the large language models. These allow conversational robots to use contextual memory to support dialogue in a way that is similar to that between humans. Conversational robots benefit customers in entertainment, industry and education. Few papers have addressed the use of a conversational robot in a corporate setting as support to intranet. The aim of this paper is to present the process of designing a conversational robot in Elektro Ljubljana. The Belko prototype was created based on the GPT-3.5-turbo model. We used focus groups to prepare its primary knowledge base. A group of employees tested Belko to see if it could support the company‘s intranet. Based on the findings, a list of user requirements for the professional development of the Belka conversational robot was drawn up. The case study can be useful to companies deciding to use a conversational robot as a company intranet, as it provides a unique insight into its creation</dc:description><dc:description xml:lang="sl">Veliki jezikovni modeli so omogočajo razvoj pogovornih robotov, ki da lahko s pomočjo kontekstualnega spomina nudijo podporo v dialogu, podobnemu tistemu med ljudmi. Le malo raziskav pa obravnava uporabo pogovornega robota za podporo intraneta podjetja. Naš članek predstavi potek načrtovanja pogovornega robota v podjetju Elektro Ljubljana. Prototip Belko smo ustvarili na modelu GPT-3.5 Turbo. S pomočjo fokusnih skupin smo pripravili njeno primarno bazo znanja. Skupina zaposlenih je Belko testirala in ugotavljala, ali lahko nudi oporo intranetu podjetja. Na podlagi ugotovitev smo pripravili seznam uporabniških zahtev za nadaljnji razvoj pogovornega robota Belke. Študija primera je lahko v pomoč podjetjem, ki se odločajo za uporabo pogovornega robota kot intraneta podjetja, saj nudi unikaten vpogled v njegovo načrtovanje</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-GSJO3XDR"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-GSJO3XDR" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-GSJO3XDR/9a0595fd-0b73-4232-bae3-47cb0c62326c/PDF" /><edm:rights rdf:resource="http://rightsstatements.org/vocab/InC/1.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Slovensko društvo Informatika</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-GSJO3XDR/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-GSJO3XDR" /></ore:Aggregation></rdf:RDF>