Legal Open Data Generator: Enhancing Public Access to Law

Aleksandar Bosnjak

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Data Science Specialist

Fullstack Engineer

Software Architect

lxml

Open Data Kit

Python

Project overview

Developed an RDF open data generator for legal documents, aimed at improving public access and interconnectedness of legal information.

Key Features

Generated RDF/XML format for optimal compatibility and readability
Extended existing ontologies (e.g., Dublin Core Terms) for legal domain specificity
Created new ontological terms to accurately represent complex legal concepts
Implemented robust semantic mapping between legal document structures and RDF triples Incorporated document versioning based on publishing dates
Validated generated RDF data against custom ontologies

Impact

Enhanced transparency by enabling public tracking of document changes and metadata Improved searchability and interconnectedness of legal documents in the public domain
Enabled advanced querying and analysis capabilities for legal data
Contributed to the broader ecosystem of linked open data in the legal sector
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Posted Nov 21, 2024

RDF/XML automatic data publisher for connecting data to the Open Data global network.

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Data Science Specialist

Fullstack Engineer

Software Architect

lxml

Open Data Kit

Python