Iryna Feuerstein IT Consultant & Software Engineer, PRODYNA SE @ira_res Semantic search and Data Analysis with graphs

1. © PRODYNA 2018 Slide 1
SEMANTIC SEARCH AND
DATA ANALYSIS WITH GRAPHS
SEPTEMBER 18, 2018

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WHAT IS THIS TALK ABOUT?
• Practical experiences with the graph data base Neo4j
• Implementing search application

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WHAT IS THIS TALK ABOUT?
• Practical experiences with the graph data base Neo4j
• Implementing search application
• Not only full text search
• Searching for relevant parts
• Searching for similiar content

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WHAT IS THIS TALK NOT ABOUT?
• Theory of semantic search
• Theory of semantic web
• RDF, OWL, natural language, etc

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DATA
• German legislation https://www.gesetze-im-internet.de/
• Legal documents provided by https://openjur.de/
• Extractions of norm occurrences in didactic material kindly provided
by
Hanjo Hamann

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GRAPH DATA MODEL

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GRAPH DATA MODEL

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GRAPH DATA MODEL

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BY USING SECTION NUMBER XY FROM CODE ABC, FOLLOWING SECTIONS COULD BE
OF INTEREST: ...
RECOMMENDATIONS

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FIND SIMILIAR DOCUMENTS

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SUMMARY
• Graph structures help me to investigate my data
• Relationships help to make the queries more intelligent
• As a result better insight and easier search

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CONTACT DETAILS
@ira_res
iryna.feuerstein@prodyna.com
https://irare.github.io/graph-of-codes/