Enterprise domain ontology learning from web-based corpus
Andrei Vasilateanu, Nicolae Goga, Elena-Alice Tanase, Iuliana Marin

TL;DR
This paper presents a method for automatically generating and populating domain ontologies to enhance semantic search capabilities in enterprise environments, especially tailored for small and medium enterprises.
Contribution
It introduces a novel approach for enterprise domain ontology learning from web-based corpora, addressing the gap in SME-oriented knowledge management.
Findings
Effective ontology learning from web data
Improved semantic search relevance
Potential for SME knowledge management
Abstract
Enterprise knowledge is a key asset in the competing and fast-changing corporate landscape. The ability to learn, store and distribute implicit and explicit knowledge can be the difference between success and failure. While enterprise knowledge management is a well-defined research domain, current implementations lack orientation towards small and medium enterprise. We propose a semantic search engine for relevant documents in an enterprise, based on automatic generated domain ontologies. In this paper we focus on the component for ontology learning and population.
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