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added pipeline and corrected typing

main
Roman Schöne 2026-05-01 21:32:40 +02:00
parent 6b2c881866
commit 605dc4f96b
4 changed files with 153 additions and 31 deletions
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116
lego/lego_graph_rebrickable.ipynb → lego/lego_graph.ipynb
View File

@ -17,8 +17,7 @@
"source": [
"from rdflib import Graph, Namespace, XSD, OWL, RDF, RDFS, SKOS, URIRef, Literal\n",
"import pandas as pd\n",
"from datetime import datetime\n",
"import os"
"from datetime import datetime"
]
},
{
@ -88,7 +87,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"id": "ae505704",
"metadata": {},
"outputs": [],
@ -96,6 +95,7 @@
"for color in re_colors.itertuples(index=False):\n",
" color_ref = thm[f\"color/{color.id}\"]\n",
"\n",
" g.add((color_ref, RDF.type, THM.Color ))\n",
" g.add((color_ref, RDFS.label, Literal(color.name, lang=\"en\")))\n",
" g.add((color_ref, THM.color, Literal(color.rgb)))\n",
" g.add((color_ref, THM.is_transparent, Literal(color.is_trans, datatype=XSD.boolean)))\n",
@ -126,6 +126,7 @@
"for part_category in re_part_categories.itertuples(index=False):\n",
" part_category_ref = thm[f\"part_category/{part_category.id}\"]\n",
"\n",
" g.add((part_category_ref, RDF.type, THM.PartCategory ))\n",
" g.add((part_category_ref, RDFS.label, Literal(part_category_ref, lang=\"en\")))"
]
},
@ -147,6 +148,7 @@
"for part in re_parts.itertuples(index=False):\n",
" part_ref = thm[f\"part/{part.part_num}\"]\n",
"\n",
" g.add((part_ref, RDF.type, THM.Part))\n",
" g.add((part_ref, RDFS.label, Literal(part.name, lang=\"en\")))\n",
" g.add((part_ref, THM.part_category, thm[f\"part_category/{part.part_cat_id}\"]))\n",
" g.add((part_ref, THM.part_material, Literal(part.part_material)))"
@ -162,7 +164,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"id": "579b1d67",
"metadata": {},
"outputs": [],
@ -171,6 +173,7 @@
" part_ref = thm[f\"part/{element.part_num}\"]\n",
" color_ref = thm[f\"color/{element.color_id}\"]\n",
"\n",
" g.add((part_ref, RDF.type, THM.Element))\n",
" g.add((part_ref, THM.has_color, color_ref))"
]
},
@ -193,7 +196,8 @@
" part_ref_parent = thm[f\"part/{part_relationship.parent_part_num}\"]\n",
" part_ref_child = thm[f\"part/{part_relationship.child_part_num}\"]\n",
"\n",
" g.add((part_ref_parent, THM.has_child, part_ref_child))"
" g.add((part_ref_parent, THM.has_child, part_ref_child))\n",
" g.add((part_ref_child, THM.has_parent, part_ref_parent))"
]
},
{
@ -214,6 +218,7 @@
"for theme in re_themes.itertuples(index=False):\n",
" theme_ref = thm[f\"theme/{int(theme.id)}\"]\n",
"\n",
" g.add((theme_ref, RDF.type, THM.Theme))\n",
" g.add((theme_ref, RDFS.label, Literal(theme.name, lang=\"en\")))\n",
"\n",
" if not pd.isna(theme.parent_id):\n",
@ -238,8 +243,9 @@
"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, RDF.type, THM.Set))\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.year, Literal(int(lego_set.year), datatype=XSD.integer)))\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\")))"
@ -263,8 +269,9 @@
"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)))"
" g.add((minifig_ref, RDF.type, THM.Minifig))\n",
" g.add((minifig_ref, RDFS.label, Literal(minifig.name, lang=\"en\")))\n",
" g.add((minifig_ref, THM.num_parts, Literal(int(minifig.num_parts), datatype=XSD.integer)))"
]
},
{
@ -277,7 +284,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 12,
"id": "0c97dc4d",
"metadata": {},
"outputs": [],
@ -285,6 +292,7 @@
"for inventory in re_inventories.itertuples(index=False):\n",
" inventory_ref = thm[f\"inventory/{inventory.id}\"]\n",
"\n",
" g.add((inventory_ref, RDF.type, THM.Inventory))\n",
" g.add((inventory_ref, THM.set, thm[f\"set/lego/{inventory.set_num}\"]))"
]
},
@ -302,21 +310,39 @@
"execution_count": 13,
"id": "dc2ba03e",
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"'\\nfor 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, RDF.type, THM.PartInv))\\n g.add((inventory_part_ref, RDF.type, RDF.Property))\\n\\n g.add((inventory_part_ref, RDFS.domain, THM.Inventory))\\n g.add((inventory_part_ref, RDFS.range, THM.Part))\\n\\n g.add((inventory_ref, THM.contains, inventory_part_ref))\\n g.add((part_ref, THM.belongs, inventory_part_ref))\\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}\"]))\\n'"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"\"\"\n",
"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, THM.PartInv))\n",
" g.add((inventory_part_ref, RDF.type, RDF.Property))\n",
"\n",
" g.add((inventory_part_ref, RDFS.domain, THM.Inventory))\n",
" g.add((inventory_part_ref, RDFS.range, THM.Part))\n",
" \n",
" g.add((inventory_ref, THM.contains, inventory_part_ref))\n",
" g.add((part_ref, THM.belongs, inventory_part_ref))\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}\"]))"
" g.add((inventory_part_ref, THM.color, thm[f\"color/{inventory_part.color_id}\"]))\n",
"\"\"\""
]
},
{
@ -332,10 +358,15 @@
" 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, THM.SetInv))\n",
" g.add((inventory_set_ref, RDF.type, RDF.Property))\n",
"\n",
" g.add((inventory_set_ref, RDFS.domain, THM.Inventory))\n",
" g.add((inventory_set_ref, RDFS.range, THM.Set))\n",
"\n",
" g.add((inventory_ref, THM.contains, inventory_set_ref))\n",
" g.add((set_ref, THM.belongs, inventory_set_ref))\n",
" \n",
" g.add((inventory_set_ref, THM.quantity, Literal(int(inventory_set.quantity), datatype=XSD.integer)))"
]
},
@ -350,12 +381,17 @@
" 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",
" minifig_ref = thm[f\"minifig/{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, THM.MinifigInv))\n",
" g.add((inventory_minifig_ref, RDF.type, RDF.Property))\n",
"\n",
" g.add((inventory_minifig_ref, RDFS.domain, THM.Inventory))\n",
" g.add((inventory_minifig_ref, RDFS.range, THM.Minifig))\n",
"\n",
" g.add((inventory_ref, THM.contains, inventory_minifig_ref))\n",
" g.add((minifig_ref, THM.belongs, inventory_minifig_ref))\n",
" \n",
" g.add((inventory_minifig_ref, THM.quantity, Literal(int(inventory_minifig.quantity), datatype=XSD.integer)))"
]
},
@ -464,14 +500,27 @@
"execution_count": 21,
"id": "ef52582e",
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"'\\nfor bl_part in bl_parts.itertuples(index=False):\\n part_ref = thm[f\"part/{bl_part.part_id}\"]\\n\\n if not (part_ref, None, None) in g:\\n additional_entries += 1\\n g.add((part_ref, RDFS.label, Literal(bl_part.part_name, lang=\"en\")))\\n'"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"\"\"\n",
"for bl_part in bl_parts.itertuples(index=False):\n",
" part_ref = thm[f\"part/{bl_part.part_id}\"]\n",
"\n",
" if not (part_ref, None, None) in g:\n",
" additional_entries += 1\n",
" g.add((part_ref, RDFS.label, Literal(bl_part.part_name, lang=\"en\")))"
" g.add((part_ref, RDFS.label, Literal(bl_part.part_name, lang=\"en\")))\n",
"\"\"\""
]
},
{
@ -479,14 +528,27 @@
"execution_count": 22,
"id": "8bf0ffeb",
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"'\\nfor bl_minifig in bl_minifigs.itertuples(index=False):\\n minifig_ref = thm[f\"minfig/{bl_minifig.minifig_id}\"]\\n\\n if not (minifig_ref, None, None) in g:\\n additional_entries += 1\\n g.add((minifig_ref, RDFS.label, Literal(bl_minifig.minifig_name, lang=\"en\")))\\n'"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"\"\"\n",
"for bl_minifig in bl_minifigs.itertuples(index=False):\n",
" minifig_ref = thm[f\"minfig/{bl_minifig.minifig_id}\"]\n",
"\n",
" if not (minifig_ref, None, None) in g:\n",
" additional_entries += 1\n",
" g.add((minifig_ref, RDFS.label, Literal(bl_minifig.minifig_name, lang=\"en\")))"
" g.add((minifig_ref, RDFS.label, Literal(bl_minifig.minifig_name, lang=\"en\")))\n",
"\"\"\""
]
},
{
@ -499,7 +561,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Added 107748 items\n"
"Added 4131 items\n"
]
}
],
@ -548,7 +610,7 @@
{
"data": {
"text/plain": [
"<Graph identifier=N30c6d515851c45f1af93153d75c76ea9 (<class 'rdflib.graph.Graph'>)>"
"<Graph identifier=N0b9369c5913a4399a349bbd3a82b1420 (<class 'rdflib.graph.Graph'>)>"
]
},
"execution_count": 24,
@ -557,15 +619,15 @@
}
],
"source": [
"g.bind(\"thmont\", THM)\n",
"g.bind(\"thm\", THM)\n",
"\n",
"g.serialize(\"lego_graph_rebrickable.ttl\", format=\"turtle\")"
"g.serialize(\"lego_graph.ttl\", format=\"turtle\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "venv (3.14.4)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},

37
lego/paper/KGR_paper1_lego.tex
View File

@ -30,7 +30,7 @@
a4paper,margin=25mm
}
\title{\huge{Knowledgegraphen - Lego}}
\title{\huge{Knowledge Graph - Lego}}
\date{\today}
\author{
\begin{tabular}{ccc}
@ -127,7 +127,7 @@
\toprule
& Brickset \\ \midrule
URL & \url{https://brickset.com/}\\
Beschaffung & Webscraping/CSV-Download \\
Beschaffung & CSV-Download \\
Lizenz & nicht spezifiziert \\
Erhalt & 23.04.2026 \\ \bottomrule
\end{tabularx}
@ -184,9 +184,11 @@
\begin{verbatim}
https://thm.de/set/{brand}/{id}
\end{verbatim}
Um die Dateigrösse des Graph zu reduzieren wurde \texttt{thm}, statt \texttt{th-mannheim} verwendet.
\begin{figure}[H]
\includegraphics[width=\columnwidth]{bilder/example_part_number.png}
\centering
\includegraphics[width=0.8\columnwidth]{bilder/example_part_number.png}
\caption{Lego Stein mit Teile-Nummer (Design-ID) 41769 \cite{cunninghamSellLEGOBricklink2018}}
\label{fig:lego_example_part_number}
\end{figure}
@ -199,14 +201,41 @@
\subsection{Pipeline}
Die Datensätze von \textit{Bricklink} und \textit{Merlins Steine} wurden durch Webscraping erhoben. Entstandene Fehler durch Ausnahmefälle mussten manuell bereinigt werden. Demnach ist dieser Teil nicht automatisierbar. Abbildung \ref{fig:pipeline} zeigt die Pipeline zur Erstellung des Knowledge Graph.
\begin{figure}[H]
\includegraphics[width=\columnwidth]{./bilder/kgr_pipeline1.drawio.png}
\caption{Pipeline Erstellung Knowledge Graph}
\label{fig:pipeline}
\end{figure}
\section{Evaluation}
\subsection{Ergebnis}
Das Projekt kann unter der URL: \url{https://gitty.informatik.hs-mannheim.de/2211275/kgr} betrachtet werden.
Der resultierende Knowledge-Graph ist über 300 MB gross.
\subsection{Beispiel-Queries}
Erhalten der Gesamtheit aller Lego Star Wars Minifiguren:
\begin{verbatim}
SELECT DISTINCT ?name
WHERE {
?set thmont:theme ?theme.
?theme rdf:type thmont:Theme.
?set rdf:type thmont:Set.
?theme rdfs:label "Star Wars"@en.
?inventory thmont:set ?set.
?inventory rdf:type thmont:Inventory.
?inventory thmont:contains ?minifig_inv.
?minifig_inv rdf:type thmont:MinifigInv.
?minifig thmont:belongs ?minifig_inv.
?minifig rdfs:label ?name.
}
\end{verbatim}
\subsection{Abdeckung}
\subsection{Konsistenz}

31
lego/paper/bilder/kgr_pipeline1.drawio 100644
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@ -0,0 +1,31 @@
<mxfile host="app.diagrams.net">
<diagram name="Seite-1" id="_iVW848-2TJ0zfREs3N2">
<mxGraphModel dx="808" dy="425" grid="1" gridSize="10" guides="1" tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" pageWidth="827" pageHeight="1169" math="0" shadow="0">
<root>
<mxCell id="0" />
<mxCell id="1" parent="0" />
<mxCell id="Hu6JBMkSkJOX-7uFVOw6-11" edge="1" parent="1" source="Hu6JBMkSkJOX-7uFVOw6-2" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;entryX=0;entryY=0.5;entryDx=0;entryDy=0;" target="Hu6JBMkSkJOX-7uFVOw6-3">
<mxGeometry relative="1" as="geometry" />
</mxCell>
<mxCell id="Hu6JBMkSkJOX-7uFVOw6-2" parent="1" style="rounded=1;whiteSpace=wrap;html=1;" value="Bricklink,&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Brickset&lt;/span&gt;&lt;div&gt;Rebrickable,&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Merlin&lt;/span&gt;&lt;/div&gt;" vertex="1">
<mxGeometry height="50" width="110" x="50" y="150" as="geometry" />
</mxCell>
<mxCell id="Hu6JBMkSkJOX-7uFVOw6-12" edge="1" parent="1" source="Hu6JBMkSkJOX-7uFVOw6-3" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;entryX=0;entryY=0.5;entryDx=0;entryDy=0;" target="Hu6JBMkSkJOX-7uFVOw6-8">
<mxGeometry relative="1" as="geometry" />
</mxCell>
<mxCell id="Hu6JBMkSkJOX-7uFVOw6-3" parent="1" style="rounded=1;whiteSpace=wrap;html=1;" value="Datensätze als .CSV" vertex="1">
<mxGeometry height="50" width="120" x="200" y="150" as="geometry" />
</mxCell>
<mxCell id="Hu6JBMkSkJOX-7uFVOw6-7" parent="1" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;rounded=0;" value="Manuelle Abfrage &amp;amp; Transformation" vertex="1">
<mxGeometry height="30" width="100" x="130" y="210" as="geometry" />
</mxCell>
<mxCell id="Hu6JBMkSkJOX-7uFVOw6-8" parent="1" style="rounded=1;whiteSpace=wrap;html=1;" value="lego_graph.ttl" vertex="1">
<mxGeometry height="50" width="120" x="360" y="150" as="geometry" />
</mxCell>
<mxCell id="Hu6JBMkSkJOX-7uFVOw6-10" parent="1" style="text;html=1;whiteSpace=wrap;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;rounded=0;" value="Jupyter Notebook" vertex="1">
<mxGeometry height="30" width="100" x="290" y="210" as="geometry" />
</mxCell>
</root>
</mxGraphModel>
</diagram>
</mxfile>

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lego/paper/bilder/kgr_pipeline1.drawio.png 100644
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