Semantic Search using Spreading Activation based on Ontology
This work addresses semantic search challenges for users needing more relevant document retrieval, but it appears incremental as it builds on existing spreading activation methods.
The paper tackles the problem of irrelevant concepts in semantic search by proposing a novel spreading activation algorithm that only activates named entities related to original query entities and explicit relations, aiming to improve retrieval accuracy.
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.