The document discusses building a knowledge graph using natural language processing (NLP) and ontologies, focusing on the integration of explicit knowledge from various data sources, such as Wikidata and technical articles. It highlights the capabilities of knowledge graphs, including semantic search, item similarity, and inference, and mentions tools like Neosemantics (n10s) and APOC for Neo4j. The presentation also outlines practical examples, such as importing data from Wikidata and entity extraction using Google's NLP API.

1. Building a Knowledge Graph
using NLP and Ontologies
Jesús Barrasa - EMEA Sales Engineering Director
Mark Needham - Developer Relations Engineer

2. 2
Knowledge Graph: Knowledge + Facts
Facts
Explicit
Knowledge

3. 3
Knowledge Graph: Knowledge + Facts
instance data
explicit description of how instance data relates
Facts
Explicit
Knowledge

4. 4
Knowledge Graph: Knowledge + Facts
Graph data imported from any data source
Structured: relational, file, hierarchical JSON/XML
Semistructured: HTML, documents,
Facts
come from (public) ontologies, taxonomies or
any kind of metadata definition
Explicit
Knowledge

5. • Software taxonomies from Wikidata
• Technical articles from dev.to
• Entity Extraction using GCP's NLP API
• Software Stacks Ontology (OWL)
5
Software knowledge graph

6. • Semantic search
• Item similarity
• Inference
• Detect inconsistencies
6
What can we do with knowledge graphs?

7. • Semantic search
• Item similarity
• Inference
• Detect inconsistencies
7
What can we do with knowledge graphs?

8. • Wikidata SPARQL API
• neosemantics (n10s)
• APOC
8
Tools used in this talk

9. Wikidata is a free and open knowledge base that can be
read and edited by both humans and machines.
Wikidata acts as central storage for the structured data of its
Wikimedia sister projects including Wikipedia, Wikivoyage,
Wiktionary, Wikisource, and others.
9
Wikidata

10. neosemantics is a plugin that enables the use of RDF in Neo4j
• Store RDF data in Neo4j in a lossless manner
• On-demand export property graph data from Neo4j as RDF
• Model mapping
• Constraint Validation and Inferencing
10
neosemantics (n10s)

11. APOC is Neo4j's standard utility library. It includes over 450 standard
procedures, providing functionality for utilities, conversions, graph
updates, and more.
11
APOC

12. APOC is Neo4j's standard utility library. It includes over 450 standard
procedures, providing functionality for utilities, conversions, graph
updates, and more.
12
APOC

13. • Importing Wikidata using n10s
• Scraping technical articles from dev.to
• Entity extraction using GCP NLP API
• Querying the knowledge graph
13
Demo structure

14. 2. Scraping technical articles from dev.to
14
Demo structure
Facts
Explicit
Knowledge
1. Importing Wikidata using n10s
3. Entity extraction using GCP NLP API