20.500.12556/RUL-185169 Graph-mediated LLM exploration for IFC question answering a benchmark comparison against direct-IFC approaches: Master’s Thesis Industry Foundation Classes (IFC), the standard format for exchanging building information, are hard to query without specialist tooling, so most people working in construction cannot get information out of their own building models. This thesis asks whether mediating IFC through a knowledge graph and exploring it adaptively can compete with exploring raw IFC directly. We built ifctoneo4j, which converts IFC into a Neo4j property graph following the Linked Building Data ontologies, and BIMGraphExplorer, which lets an LLM query that graph in Cypher through Model Context Protocol tools, and evaluated both under matched conditions: same model, same judge, 367 questions across 23 IFC-Bench v2 datasets. The direct-IFC baseline wins by 10.3 percentage points (82.3 % versus 72.0 %) with equal transparency, though the graphmediated system wins outright on five of the twenty-three datasets, by as much as 24 points on one; most of the remaining gap comes from fixable problems in how the graph was built, with the one real ceiling on quantities Cypher cannot compute. This matters because building data can live in an open, shared graph format and still answer questions nearly as well as reading a proprietary file directly, which is useful for anyone building natural-language tools over construction data or working in Linked Building Data. What is left is mostly engineering work: improving how files are converted, and giving the system a way to compute a value instead of only looking one up, so it can also handle geometry and material questions the graph alone cannot answer. Datoteke Industry Foundation Classes (IFC), standardni format za izmenjavo informacij o stavbah, je brez specializiranih orodij težko poizvedovati, zato večina ljudi, ki dela v gradbeništvu, ne more pridobiti informacij iz lastnih modelov stavb. Magistrsko delo preverja, ali lahko posredovanje IFC preko znanjskega grafa in njegovo prilagodljivo raziskovanje tekmuje z neposrednim raziskovanjem surovega IFC. Zgradili smo ifctoneo4j, ki pretvori IFC v lastnostni graf Neo4j po ontologijah Linked Building Data, in BIMGraphExplorer, ki jezikovnemu modelu omogoča poizvedovanje po tem grafu v jeziku Cypher prek orodij protokola Model Context Protocol, oba pa smo ovrednotili pod enakimi pogoji: isti model, isti ocenjevalec, 367 vprašanj na 23 naborih podatkov IFC-Bench v2. Neposredni pristop IFC zmaga za 10,3 odstotne točke (82,3 % proti 72,0 %) ob enaki transparentnosti, čeprav sistem s posredovanjem preko grafa v celoti zmaga na petih od triindvajsetih naborov podatkov, na enem celo za 24 točk; večina preostale razlike izhaja iz odpravljivih pomanjkljivosti pri gradnji grafa, edina resnična omejitev pa so količine, ki jih Cypher ne more izračunati. To je pomembno, ker lahko podatki o stavbah obstajajo v odprti, skupni obliki grafa in kljub temu odgovarjajo na vprašanja skoraj tako dobro kot neposredno branje lastniške datoteke, kar je koristno za vsakogar, ki gradi naravnojezikovna orodja nad gradbenimi podatki ali deluje na področju Linked Building Data. Kar ostaja, je pretežno inženirsko delo: izboljšanje pretvorbe datotek ter dodajanje zmožnosti, da sistem vrednost izračuna namesto da jo le poišče, tako da lahko odgovori tudi na vprašanja o geometriji in materialih, ki jih graf sam po sebi ne more ponuditi. master thesis civil engineering Industry Foundation Classes (IFC) Building Information Modelling (BIM) knowledge graph Linked Building Data large language models adaptive exploration natural-language question answering magistrska dela gradbeništvo ... ... ... true false false [H. W. Bhatti] Angleški jezik Slovenski jezik Magistrsko delo/naloga 2026-07-25 08:45:10 2026-07-25 08:45:32 2026-07-28 12:03:55 0000-00-00 00:00:00 2026 0 Ljubljana 2026 Ljubljana 1 spletni vir (1 datoteka PDF (IX, 54 str.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.42:69(043.2) 180569 286173955 21221.pdf 21221.pdf 1 1BF8C5CBEF60C97DBE987B1326A86D9C 311aebc2e99cd36c8e52bb53a9cbbeb0043ea5bce8c94befbcfa2763e986d530 305616c3-87f4-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=243399 Fakulteta za gradbeništvo in geodezijo 0 0 0