Overcoming terminology barrier using Web resources for cross-language medical information retrieval.

Wen Hsiang Lu, Ray Shih Jui Lin, Yi Che Chan, Kuan Hsi Chen

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


A number of authoritative medical websites, such as PubMed and MedlinePlus, provide consumers with the most up-to-date health information. However, non-English speakers often encounter not only language barriers (from other languages to English) but also terminology barriers (from laypersons inverted exclamation mark| terms to professional medical terms) when retrieving information from these websites. Our previous work address language barriers by developing a multilingual medical thesaurus, Chinese-English MeSH, while this study presents an approach to overcome terminology barriers based on Web resources. Two techniques were utilized in our approach: monolingual concept mapping using approximate string matching and crosslingual concept mapping using Web resources. The evaluation shows that our approach can significantly improve the performance on MeSH concept mapping and cross-language medical information retrieval.

Original languageEnglish
Pages (from-to)519-523
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Publication statusPublished - 2006

All Science Journal Classification (ASJC) codes

  • General Medicine


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