Hybrid Query Expansion on Ontology Graph in Biomedical Information Retrieval
Explore this paper's citation graph
- Type
- article
- Published
- 2012-01-01
- Cited by
- 0
- References
- 79
- Access
- Open access
- OpenAlex
- https://openalex.org/W327114777
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:60177011
Keywords
Computer science, Information retrieval, Query expansion, Graph, Ontology
References
- Exploring Query Expansion Strategies for MEDLINE
- UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring Paths and Semantic Similarity
- Information Retrieval: A Health and Biomedical Perspective.
- SNOMED clinical terms: overview of the development process and project status
- Research and Development in Information Retrieval
- Medical and Care Compunetics 2
- Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
- MedlineQBE (Query-by-Example)
- An Analytical Comparison of Approaches to Personalizing PageRank
- Building the Unified Medical Language System
- SNOMED RT: a reference terminology for health care
- An Information-Theoretic Definition of Similarity
- Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language
- The PageRank Citation Ranking : Bringing Order to the Web
- Random Walks for Text Semantic Similarity
- The effect of using domain specific ontologies in query expansion in medical field
- Literature mining for the biologist: from information retrieval to biological discovery
- Finding least common ancestors in directed acyclic graphs
- Semantic Graph Based Document-Indexing Strategy for MEDLINE
- Optimal Document-Indexing Vocabulary for MEDLINE
Cited by
No citing papers recorded for this paper.
Related papers
- Semantic Query Expansion Based on Domain Ontology
- Query expansion model based on concept graph information retrieval: Query expansion model based on concept graph information retrieval
- An Information Retrieval Driven by Ontology: from Query to Document Expansion
- Query logs mining for query suggestion
- A query expansion based on sentence and vector integration strategy
- Query Recommendation Using Hybrid Query Relevance
- Query Recommendation based on Query Relevance Graph