# =============================================================================
# Title:   Alex Rivera — Resume Graph (version 001)
# Purpose: Starter-kit data file for Submodule 1.3.
#          Demonstrates FOAF, Dublin Core, SKOS, schema.org, and sensemaking:
#          working together in a single resume graph. ESCO skill concept stubs
#          are included inline so SPARQL traversals work without loading the
#          full ESCO dataset. Comments mark where real ESCO IRIs would replace
#          the local stubs in a production graph.
# Date:    2026-06-02
# Author:  Barbara Hidalgo-Sotelo (Sensemaking AI)
# License: CC BY 4.0
# =============================================================================

@prefix rdf:         <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs:        <http://www.w3.org/2000/01/rdf-schema#> .
@prefix owl:         <http://www.w3.org/2002/07/owl#> .
@prefix xsd:         <http://www.w3.org/2001/XMLSchema#> .
@prefix dcterms:     <http://purl.org/dc/terms/> .
@prefix foaf:        <http://xmlns.com/foaf/0.1/> .
@prefix schema:      <https://schema.org/> .
@prefix skos:        <http://www.w3.org/2004/02/skos/core#> .
@prefix sensemaking: <https://sensemaking-ai.com/ns/> .

# Local base for this file's nodes
@base <https://sensemaking-ai.com/resume/alex-rivera/001/> .

# =============================================================================
# The Resume Document
# Dublin Core describes the document itself — its title, creation date, and
# the person it is about. dcterms:creator points to the author/submitter.
# =============================================================================

<https://sensemaking-ai.com/resume/alex-rivera/001>
    a sensemaking:Resume ;
    dcterms:title    "Alex Rivera — Resume" ;
    dcterms:created  "2024-11-01"^^xsd:date ;
    dcterms:modified "2025-08-15"^^xsd:date ;
    dcterms:language "en" ;
    foaf:primaryTopic <person> .

# =============================================================================
# The Person (FOAF + schema.org)
# foaf:Person is the canonical class for human beings in Linked Data.
# schema:jobTitle and schema:sameAs provide web-readable supplementary facts.
# =============================================================================

<person>
    a foaf:Person ;
    foaf:name       "Alex Rivera" ;
    foaf:givenName  "Alex" ;
    foaf:familyName "Rivera" ;
    foaf:mbox       <mailto:alex@example.com> ;
    schema:jobTitle "Data Scientist" ;
    sensemaking:hasEmployment <emp1>, <emp2> ;
    sensemaking:hasEducation  <edu1> ;
    sensemaking:hasSkill      <skill_python>, <skill_sql>, <skill_ml> .

# =============================================================================
# Employment Events (sensemaking: + schema:Organization)
# Employment is modeled as a first-class event node so that role, dates, and
# employer can all be properties of the event. This is the same design forced
# by RDF's inability to put properties on edges directly.
# =============================================================================

<emp1>
    a sensemaking:Employment ;
    sensemaking:employer    <org_riverbend> ;
    sensemaking:role        "Junior Data Analyst" ;
    sensemaking:startDate   "2020-01-15"^^xsd:date ;
    sensemaking:endDate     "2022-06-30"^^xsd:date ;
    schema:description      "Built and maintained ETL pipelines and client-facing reports for insurance analytics." .

<emp2>
    a sensemaking:Employment ;
    sensemaking:employer    <org_northwind> ;
    sensemaking:role        "Data Scientist" ;
    sensemaking:startDate   "2022-07-01"^^xsd:date ;
    schema:description      "Developed predictive models for clinical outcomes using Python and scikit-learn." .

# =============================================================================
# Education (sensemaking: + schema:CollegeOrUniversity)
# =============================================================================

<edu1>
    a sensemaking:Education ;
    sensemaking:institution <org_midstate> ;
    sensemaking:degree      "BS Statistics" ;
    sensemaking:startDate   "2015-09-01"^^xsd:date ;
    sensemaking:endDate     "2019-05-15"^^xsd:date .

# =============================================================================
# Organizations (schema.org)
# schema:Organization and its subclasses are preferred over custom classes
# because search engines, validators, and other systems already understand them.
# =============================================================================

<org_riverbend>
    a schema:Organization ;
    schema:name "Riverbend Analytics" ;
    schema:url  <https://riverbend-analytics.example.com> .

<org_northwind>
    a schema:Organization ;
    schema:name "Northwind Health" ;
    schema:url  <https://northwindhealth.example.com> .

<org_midstate>
    a schema:CollegeOrUniversity ;
    schema:name "Midstate University" ;
    schema:url  <https://midstate.edu.example.com> .

# =============================================================================
# Skills (SKOS)
# Each skill is a skos:Concept — a unit in a controlled vocabulary, not an
# OWL class. skos:exactMatch links to the corresponding ESCO concept IRI.
# sensemaking:skillLevel is a local property (no ESCO equivalent for this).
#
# In a production graph, skos:exactMatch would point to real ESCO IRIs like:
#   <http://data.europa.eu/esco/skill/ccd0a1d9-afb8-4c0e-96e4-63d4f8b56bd5>
# Here we use local ESCO stubs (defined below) so traversals work in Fuseki
# without loading the full ESCO dataset.
# =============================================================================

<skill_python>
    a skos:Concept ;
    skos:prefLabel   "Python (programming language)"@en ;
    skos:altLabel    "Python"@en ;
    skos:exactMatch  <esco_python> ;
    sensemaking:skillLevel "advanced" .

<skill_sql>
    a skos:Concept ;
    skos:prefLabel   "SQL (structured query language)"@en ;
    skos:altLabel    "SQL"@en ;
    skos:exactMatch  <esco_sql> ;
    sensemaking:skillLevel "advanced" .

<skill_ml>
    a skos:Concept ;
    skos:prefLabel   "machine learning"@en ;
    skos:altLabel    "ML"@en ;
    skos:exactMatch  <esco_ml> ;
    sensemaking:skillLevel "intermediate" .

# =============================================================================
# ESCO Skill Concept Stubs (for teaching purposes)
# These represent simplified versions of ESCO concepts and their broader
# hierarchy. In production, load the full ESCO RDF dataset or federate with
# the EU ESCO SPARQL endpoint. The structure mirrors real ESCO hierarchy:
#   Skill → Domain → ICT Skills broad category
# =============================================================================

<esco_python>
    a skos:Concept ;
    skos:prefLabel "use a scripting language: Python"@en ;
    skos:notation  "ccd0a1d9" ;
    skos:broader   <esco_programming_languages> .

<esco_sql>
    a skos:Concept ;
    skos:prefLabel "query databases using SQL"@en ;
    skos:notation  "29cdd2a9" ;
    skos:broader   <esco_database_skills> .

<esco_ml>
    a skos:Concept ;
    skos:prefLabel "apply machine learning"@en ;
    skos:notation  "4d4d5c8e" ;
    skos:broader   <esco_data_science_skills> .

<esco_programming_languages>
    a skos:Concept ;
    skos:prefLabel "programming languages and scripting"@en ;
    skos:broader   <esco_ict_skills> .

<esco_database_skills>
    a skos:Concept ;
    skos:prefLabel "database management and querying"@en ;
    skos:broader   <esco_ict_skills> .

<esco_data_science_skills>
    a skos:Concept ;
    skos:prefLabel "data science and analytics"@en ;
    skos:broader   <esco_ict_skills> .

<esco_ict_skills>
    a skos:Concept ;
    skos:prefLabel "ICT skills"@en .