Raziskava potenciala tehnologije grafov znanja v javnem sektorju in razvoj pilotne aplikacije : diplomsko delo

Kumin, Matjaž (author), Dečman, Mitja (mentor)

Namen diplomskega dela je raziskava, v kolikšni meri je tehnologija grafov znanja uporabna na področju javnega sektorja oziroma na katere načine je možno uporabiti tehnologijo grafov znanja z namenom izboljšanja učinkovitosti in uspešnosti delovanja javnega sektorja. Diplomsko delo je razdeljeno na teoretični del in praktični del. V teoretičnem delu so definirani grafi znanja, predstavljeni obstoječi grafi znanja ter zbirke znanja in njihova uporaba v različnih aplikacijah na različnih področjih, kot na primer turizem, energetika, finance, izobraževanje, prodaja. Praktični del vsebuje opis postopka izdelave pilotne aplikacije, le-ta je realizirana v obliki klepetalnega robota, ki uporablja tehnologijo grafov znanja. Glavna orodja, uporabljena za izdelavo pilotne aplikacije, so bila ogrodje za razvoj klepetalnih robotov - Rasa, orodje za ustvarjanje grafov znanja - Neo4j ter programski jezik Python, v katerem so zapisane akcije po meri, ki povezujejo klepetalni robot z grafom znanja. V praktičnem delu je opisan tudi postopek zajema zahtev ter implementirane funkcionalnosti, ki jih podpira pilotna aplikacija.

• Language: Slovenian
• Keywords: grafi znanja, klepetalni roboti, umetna inteligenca, javni sektor, razvoj aplikacije, šolstvo
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FU - Faculty of Administration; FRI - Faculty of Computer and Information Science
• Place of publishing: Ljubljana
• Publisher: [M. Kumin]
• Year: 2023
• Number of pages: X, [56] str.
• PID: 20.500.12556/RUL-152403
• UDC: 004.42(043.2)
• COBISS.SI-ID: 175094275
• Publication date in RUL: 23.11.2023

Secondary language

• Language: English
• Title: The potential use of knowledge graph technology in the public sector and development of a pilot aplication

Abstract

The aim of the diploma thesis is to research to what extent knowledge graph technology is applicable in the public sector or in which ways knowledge graph technology can be used to improve the efficiency and effectiveness of the public sector. The diploma thesis is divided into a theoretical part and a practical part. The theoretical part defines knowledge graphs, presents existing knowledge graphs and knowledge bases and their use in in various applications in different fields such as tourism, energy, finance, education, sales. The practical part describes the process of creating a pilot application, presented in the form of a chatbot using knowledge graph technology. The main tools used to create the pilot application were a framework for developing chatbots - Rasa, a tool for creating knowledge graphs - Neo4j, and the Python programming language, in which custom actions are written that link the chatbot to the knowledge graph. The practical part also describes the process of gathering requirements and the implemented functionalities supported by the pilot application.

• Keywords: knowledge graphs, chatbots, artificial intelligence, public sector, application development, education