2211275
/
kgr
1
0
Fork 0
Code Issues Pull Requests Packages Projects 1 Releases Wiki Activity

finished rebrickable graph, fixed inventory_sets.csv

pull/1/head
Roman Schöne 2026-04-26 00:32:12 +02:00
parent 383493245b
commit 3b4bfae39b
3 changed files with 5146 additions and 5009 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9966
lego/data/rebrickable/inventory_sets.csv
View File

File diff suppressed because it is too large Load Diff

182
lego/lego_graph.ipynb → lego/lego_graph_rebrickable.ipynb
View File

@ -5,12 +5,12 @@
"id": "747b245f", "id": "747b245f",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Build the Lego Knwoledge Graph using the sources in `/data`." "Build the Lego Knowledge Graph using the sources in `/data`."
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 40, "execution_count": 28,
"id": "90209948", "id": "90209948",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -30,14 +30,14 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 41, "execution_count": 29,
"id": "8e573135", "id": "8e573135",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"g = Graph()\n", "g = Graph()\n",
"thm = Namespace(\"https://th-mannheim.de/\")\n", "thm = Namespace(\"https://thm.de/\")\n",
"THM = Namespace(\"https://th-mannheim.de/ont/\")" "THM = Namespace(\"https://thm.de/ont/\")"
] ]
}, },
{ {
@ -58,7 +58,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 42, "execution_count": 30,
"id": "d8a1fe84", "id": "d8a1fe84",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -87,7 +87,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 43, "execution_count": 31,
"id": "ae505704", "id": "ae505704",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -117,7 +117,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 44, "execution_count": 32,
"id": "fb9e17d6", "id": "fb9e17d6",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -138,7 +138,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 45, "execution_count": 33,
"id": "8fdb080e", "id": "8fdb080e",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -161,7 +161,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 46, "execution_count": 34,
"id": "579b1d67", "id": "579b1d67",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -183,7 +183,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 47, "execution_count": 35,
"id": "00db079a", "id": "00db079a",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -205,29 +205,159 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 36,
"id": "1a529aae", "id": "1a529aae",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"ename": "SyntaxError",
"evalue": "f-string: unmatched ')' (1024367582.py, line 2)",
"output_type": "error",
"traceback": [
" \u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[48]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[31m \u001b[39m\u001b[31mtheme_ref = thm[f\"theme/{int(theme.id))}\"]\u001b[39m\n ^\n\u001b[31mSyntaxError\u001b[39m\u001b[31m:\u001b[39m f-string: unmatched ')'\n"
]
}
],
"source": [ "source": [
"for theme in re_themes.itertuples(index=False):\n", "for theme in re_themes.itertuples(index=False):\n",
" theme_ref = thm[f\"theme/{int(theme.id)}\"]\n", " theme_ref = thm[f\"theme/{int(theme.id)}\"]\n",
"\n", "\n",
" g.add((theme_ref, RDFS.label, Literal(theme.name)))\n", " g.add((theme_ref, RDFS.label, Literal(theme.name, lang=\"en\")))\n",
"\n", "\n",
" if not pd.isna(theme.parent_id):\n", " if not pd.isna(theme.parent_id):\n",
" g.add((theme_ref, THM.parent_theme, thm[f\"theme/{int(theme.parent_id)}\"]))" " g.add((theme_ref, THM.parent_theme, thm[f\"theme/{int(theme.parent_id)}\"]))"
] ]
}, },
{
"cell_type": "markdown",
"id": "3f72c2e9",
"metadata": {},
"source": [
"Sets"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "29b357ef",
"metadata": {},
"outputs": [],
"source": [
"for lego_set in re_sets.itertuples(index=False):\n",
" set_ref = thm[f\"set/lego/{lego_set.set_num}\"]\n",
"\n",
" g.add((set_ref, RDFS.label, Literal(lego_set.name, lang=\"en\")))\n",
" g.add((set_ref, THM.year, Literal(datetime(int(lego_set.year), 1, 1))))\n",
" g.add((set_ref, THM.theme, thm[f\"theme/{int(lego_set.theme_id)}\"]))\n",
" g.add((set_ref, THM.num_parts, Literal(int(lego_set.num_parts), datatype=XSD.integer)))\n",
" g.add((set_ref, THM.brand, Literal(\"Lego\")))"
]
},
{
"cell_type": "markdown",
"id": "d2616476",
"metadata": {},
"source": [
"Minifigures"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "a67b3e70",
"metadata": {},
"outputs": [],
"source": [
"for minifig in re_minifigs.itertuples(index=False):\n",
" minifig_ref = thm[f\"minifig/{minifig.fig_num}\"]\n",
"\n",
" g.add((set_ref, RDFS.label, Literal(minifig.name, lang=\"en\")))\n",
" g.add((set_ref, THM.num_parts, Literal(int(minifig.num_parts), datatype=XSD.integer)))"
]
},
{
"cell_type": "markdown",
"id": "2e9baff1",
"metadata": {},
"source": [
"Now the ugly part: Inventories"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "0c97dc4d",
"metadata": {},
"outputs": [],
"source": [
"for inventory in re_inventories.itertuples(index=False):\n",
" inventory_ref = thm[f\"inventory/{inventory.id}\"]\n",
"\n",
" g.add((inventory_ref, THM.set, thm[f\"sets/lego/{inventory.set_num}\"]))"
]
},
{
"cell_type": "markdown",
"id": "7c962cf0",
"metadata": {},
"source": [
"Inventories relate sets, minifigures and parts to each other, creating a kind of \"top level set\" \n",
"(this takes a lot of time)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "dc2ba03e",
"metadata": {},
"outputs": [],
"source": [
"for inventory_part in re_inventory_parts.itertuples(index=False):\n",
" inventory_part_ref = thm[f\"inventory_part/{inventory_part.inventory_id}/{inventory_part.part_num}\"]\n",
" \n",
" inventory_ref = thm[f\"inventory/{inventory_part.inventory_id}\"]\n",
" part_ref = thm[f\"part/{inventory_part.part_num}\"]\n",
"\n",
" g.add((inventory_part_ref, RDFS.domain, inventory_ref))\n",
" g.add((inventory_part_ref, RDFS.range, part_ref))\n",
" g.add((inventory_part_ref, RDF.type, RDF.Property))\n",
" \n",
" g.add((inventory_part_ref, THM.quantity, Literal(int(inventory_part.quantity), datatype=XSD.integer)))\n",
" g.add((inventory_part_ref, THM.is_spare, Literal(inventory_part.is_spare, datatype=XSD.boolean)))\n",
" g.add((inventory_part_ref, THM.color, thm[f\"color/{inventory_part.color_id}\"]))"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "8715a1cf",
"metadata": {},
"outputs": [],
"source": [
"for inventory_set in re_inventory_sets.itertuples(index=False):\n",
" inventory_set_ref = thm[f\"inventory_set/{inventory_set.inventory_id}/{inventory_set.set_num}\"]\n",
"\n",
" inventory_ref = thm[f\"inventory/{inventory_set.inventory_id}\"]\n",
" set_ref = thm[f\"set/lego/{inventory_set.set_num}\"]\n",
"\n",
" g.add((inventory_set_ref, RDFS.domain, inventory_ref))\n",
" g.add((inventory_set_ref, RDFS.range, set_ref))\n",
" g.add((inventory_set_ref, RDF.type, RDF.Property))\n",
"\n",
" g.add((inventory_set_ref, THM.quantity, Literal(int(inventory_set.quantity), datatype=XSD.integer)))"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "08c2c580",
"metadata": {},
"outputs": [],
"source": [
"for inventory_minifig in re_inventory_minifigs.itertuples(index=False):\n",
" inventory_minifig_ref = thm[f\"inventory_minifig/{inventory_minifig.inventory_id}/{inventory_minifig.fig_num}\"]\n",
"\n",
" inventory_ref = thm[f\"inventory/{inventory_minifig.inventory_id}\"]\n",
" minifig_ref = thm[f\"minifig/lego/{inventory_minifig.fig_num}\"]\n",
"\n",
" g.add((inventory_minifig_ref, RDFS.domain, inventory_ref))\n",
" g.add((inventory_minifig_ref, RDFS.range, minifig_ref))\n",
" g.add((inventory_minifig_ref, RDF.type, RDF.Property))\n",
"\n",
" g.add((inventory_minifig_ref, THM.quantity, Literal(int(inventory_minifig.quantity), datatype=XSD.integer)))"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "bfab0c73", "id": "bfab0c73",
@ -269,10 +399,10 @@
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"<Graph identifier=Nf661b2e682c043188ddd822a6bca246c (<class 'rdflib.graph.Graph'>)>" "<Graph identifier=Nd0322d7d995f458896746825ba0ca42f (<class 'rdflib.graph.Graph'>)>"
] ]
}, },
"execution_count": 36, "execution_count": 43,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -280,7 +410,7 @@
"source": [ "source": [
"g.bind(\"thmont\", THM)\n", "g.bind(\"thmont\", THM)\n",
"\n", "\n",
"g.serialize(\"lego_graph.ttl\", format=\"turtle\")" "g.serialize(\"lego_graph_rebrickable.ttl\", format=\"turtle\")"
] ]
} }
], ],

7
lego/paper/KGR_paper1_lego.tex
View File

@ -109,6 +109,13 @@
\end{tabularx} \end{tabularx}
\end{table} \end{table}
Der Aufbau des Datensatzes entspricht folgendem Schema:
\begin{figure}[H]
\includegraphics[width=\columnwidth]{bilder/downloads_schema_v3.png}
\caption{Datenbankschema \textit{Rebrickable} \cite{FreeLEGOCatalog}}
\end{figure}
\subsection{Brickset} \subsection{Brickset}
\textit{Brickset} ist primär eine Datenbank von Lego-Sets. Dazu dient die Seite als News-Portal, Tracking-Möglichkeit und Review-Seite über Lego-Sets. \textit{Brickset} finanziert sich über Affiliate Marketing \cite{BricksetHomePage2026}. Die Seite wurde ausgewählt, um den von \textit{Rebrickable} erhaltenen Datensatz über Sets anzureichern, um bspw. Verpackungsdimensionen, Modelldimensionen, \ac{UVP} und die \ac{EAN}. \textit{Brickset} ist primär eine Datenbank von Lego-Sets. Dazu dient die Seite als News-Portal, Tracking-Möglichkeit und Review-Seite über Lego-Sets. \textit{Brickset} finanziert sich über Affiliate Marketing \cite{BricksetHomePage2026}. Die Seite wurde ausgewählt, um den von \textit{Rebrickable} erhaltenen Datensatz über Sets anzureichern, um bspw. Verpackungsdimensionen, Modelldimensionen, \ac{UVP} und die \ac{EAN}.