add: as presented

learning-rdf/Learning-RDF.ipynb

@@ -61,13 +61,25 @@
    },
    "source": [
     "# Overview - Part 1\n",
+    "- Motivation: Neuroimaging Data Model (NIDM)\n",
     "- When to Consider Using Semantic Web Technologies\n",
     "- Overview of RDF\n",
     "- The Central Importance of the URI\n",
-    "- \n",
     "- Overview of RDFS"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Motivation: Neuroimaging Data Model (NIDM)\n",
+    "![RDF](nidm.svg)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -215,12 +227,43 @@
     }
    },
    "source": [
-    "# Real Example of RDF \n",
+    "# Example of RDF \n",
     "- RDF introduces a 'type system' for resources.\n",
     "- RDF models **Information Content**, can use multiple syntaxes (ntriples, XML, JSON-LD, Turtle)\n",
     "![RDF](type-system.svg)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Example of RDF as NTriples\n",
+    "![RDF](ntriples.svg)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Example of RDF Serializations\n",
+    "- Many syntaxes for displaying the same information.\n",
+    "  - NTriples, XML, JSON, **Turtle**\n",
+    "- Some of these syntaxes (i.e., serializations) use **prefixes** to make reading easier.\n",
+    "  - Full URI: <http://www.w3c.org/ns/prov#Person>\n",
+    "  - Prefix Declaration: `@prefix prov: <http://www.w3c.org/ns/prov#> .`\n",
+    "  - Prefix Usage: `prov:Person`\n",
+    "- Demo!\n",
+    "  - using **rapper** commandline tool: http://librdf.org/raptor/rapper.html"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -230,7 +273,11 @@
    },
    "source": [
     "# RDF Schema (RDFS)\n",
-    "- RDFS provides a schema that allows for "
+    "- RDFS provides a schema language\n",
+    "- Allows for simple inference, applying rules to add new facts to a dataset.\n",
+    "- There are 2 forms of inference in RDFS\n",
+    "  - **Class Hierarchy**: Infer additional types based on super classes\n",
+    "  - **Domain of Properties**: Infer additional types based on property usage"
    ]
   },
   {
@@ -241,7 +288,8 @@
     }
    },
    "source": [
-    "# Web Ontology Language (OWL)"
+    "# RDFS Class Hierarchy\n",
+    "![RDF](rdfs-subclass.svg)"
    ]
   },
   {
@@ -252,22 +300,57 @@
     }
    },
    "source": [
-    "# Summary\n",
-    "- Semantic Web standards provides a flexible data model (RDF) and schema languages (RDFS/OWL).\n",
-    "- RDF provides a type system for describing data resources.\n",
-    "- RDFS provides simple inferencing capabiilities based on Class Hierarchies, Domain, and Range.\n",
-    "- OWL provide a rich ontology language for inference\n",
-    "- In Part 2 "
+    "# RDFS Properties\n",
+    "- Define new relationships\n",
+    "- Relationships can have a domain and range\n",
+    "- Domain allows to infer a class based on property usage \n",
+    "![RDF](rdfs-property.svg)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Web Ontology Language (OWL)\n",
+    "- A rich language for describing concepts, relationships, restrictions.\n",
+    "- More expressive than RDFS, with many more forms of inference.\n",
+    "- Tools (e.g., Protege) for editing and collaborating on vocabulary development.\n",
+    "- Details are outside scope."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# PROV: An example OWL Ontology\n",
+    "- Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability or trustworthiness.\n",
+    "![RDF](prov.svg)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {
-    "collapsed": true
+    "slideshow": {
+     "slide_type": "slide"
+    }
    },
-   "outputs": [],
-   "source": []
+   "source": [
+    "# Summary\n",
+    "- Semantic Web standards provides a flexible data model (RDF) and schema languages (RDFS/OWL).\n",
+    "- RDF provides a type system for describing data resources.\n",
+    "- RDFS provides simple inferencing capabiilities based on Class Hierarchies, Domain, and Range.\n",
+    "- OWL provide a rich ontology language for inference.\n",
+    "- PROV is a standard language for describing data provencance.\n",
+    "- In Part 2, we will see how to query these documents and dtor the in databases."
+   ]
   }
  ],
  "metadata": {

learning-rdf/subject.ttl

@@ -1,4 +1,7 @@
-prefix prov: <http://www.w3c.org/ns/prov#> .
-prefix : <> .
+#@prefix prov: <http://www.w3c.org/ns/prov#> .
+#@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
+#@prefix : <http://my.data#> .
 
-:sub01 rdf:type prov:Person .
+<http://my.data#sub01> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3c.org/ns/prov#Person> .
+<http://my.data#sub01> <http://my.data#identifier> "sub01" .
+<http://my.data#sub01> <http://my.data#age> "25.7"^^<http://www.w3.org/2001/XMLSchema#decimal> .