A review of ontology based query expansion
By Jagdev Bhogal, A. MacFarlane, Peter Smith. Information Processing & Management, 2007
509 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/9dd7208a62a27d50f82ea8a10834b042b153d4c3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Giovanni Romano
- Claudio Carpineto
- Yair Movshovitz-Attias
- Le Zhao
- Liron Yatziv
- Sacha Arnoud
- Vinay D. Shet
- Qian Yu
In Computer Networks and Communications
In Information Systems
- Giovanni Romano
- Claudio Carpineto
- Le Zhao
- Akshay Deepak
- Dr. Hiteshwar Kumar Azad
- Rainer Brüggemann
- Jun Xu
- Hang Li
Citations in the corpus
- Modeling and solving term mismatch for full-text retrieval (2012, background): “Automatic use of general ontologies such as WordNet is especially difficult, and most success cases come from using these ontologies to guide user interactions Bhogal et al. (2007).”
- Ontological supervision for fine grained classification of Street View storefronts (2015, background): “Ontologies are a commonly used resource, holding hierarchical representations of such containment relations [3, 23].”
- A Survey of Automatic Query Expansion in Information Retrieval (2012, methodology): “One notable exception is [Bhogal et al. 2007], which however reviews a specific approach to AQE, i.”
- Evaluating Vector-Based Search and Question Answering Approaches for an Information System (2026, unknown): “It serves as a way of increasing “lexical/semantic overlap between a user query and relevant documents” [2].”