Semantic Search using Spreading Activation based on Ontology

TL;DR

This paper introduces a novel semantic search algorithm that enhances query understanding by activating only relevant named entities and explicit relations, improving retrieval accuracy in document search systems.

Contribution

The paper proposes a new spreading activation algorithm that selectively activates related named entities and explicit relations, reducing irrelevant concept expansion.

Findings

Improved relevance in search results.

Reduced noise from irrelevant concepts.

Enhanced semantic understanding of queries.

Abstract

Currently, the text document retrieval systems have many challenges in exploring the semantics of queries and documents. Each query implies information which does not appear in the query but the documents related with the information are also expected by user. The disadvantage of the previous spreading activation algorithms could be many irrelevant concepts added to the query. In this paper, a proposed novel algorithm is only activate and add to the query named entities which are related with original entities in the query and explicit relations in the query.