Domain specific ontologies from Linked Open Data (LOD)

TL;DR

This paper discusses creating domain-specific ontologies from Linked Open Data to improve semantic reasoning tasks like entity disambiguation, using a bootstrapping pipeline and domain glossaries.

Contribution

It introduces a domain-agnostic pipeline for building IT-specific ontologies from LOD and demonstrates extending it with domain glossaries.

Findings

Effective ontology bootstrapping from LOD

Enhanced domain-specific knowledge representation

Facilitated entity disambiguation and linking

Abstract

Logical and probabilistic reasoning tasks that require a deeper knowledge of semantics are increasingly relying on general purpose ontologies such as Wikidata and DBpedia. However, tasks such as entity disambiguation and linking may benefit from domain specific knowledge graphs, which make it more efficient to consume the knowledge and easier to extend with proprietary content. We discuss our experience bootstrapping one such ontology for IT with a domain-agnostic pipeline, and extending it using domain-specific glossaries.