TREC and TIPSTER experiments with INQUERY
TREC-2 Proceedings of the second conference on Text retrieval conference
Placing search in context: the concept revisited
Proceedings of the 10th international conference on World Wide Web
Probabilistic model for contextual retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Knowledge-based query expansion to support scenario-specific retrieval of medical free text
Proceedings of the 2005 ACM symposium on Applied computing
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Y!Q: contextual search at the point of inspiration
Proceedings of the 14th ACM international conference on Information and knowledge management
Incremental mining of information interest for personalized web scanning
Information Systems
Construction of query concepts based on feature clustering of documents
Information Retrieval
Regularized estimation of mixture models for robust pseudo-relevance feedback
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Mining dependency relations for query expansion in passage retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Concept-based biomedical text retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Text classification for healthcare information support
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Meeting medical terminology needs-the ontology-enhanced Medical Concept Mapper
IEEE Transactions on Information Technology in Biomedicine
Hi-index | 12.05 |
The World Wide Web is an important hyperspace for health information navigation. To comprehend health information, medical terminology is a main obstacle. Therefore, starting from a medical term t in a document d being read, information consumers often need to navigate to those documents that are relevant to t under the current context of interest (COI), which may be indicated by the background content of d (e.g., health topic discussed in d). However, health information consumers are often unable or unwilling to construct a proper query for the navigation. Therefore, we present a technique COMTN to automatically generate a context-indicative query for a term designated by an information consumer when reading a document. In addition to the term, the query is enhanced with those terms (from the document) that may indicate the current COI of the consumer. Empirical results show that, using the queries generated by COMTN, more relevant information about the designated term may be retrieved from MedlinePlus. Moreover, COMTN is efficient in online query generation, and it may work for evolving health terminology without training. The contributions are significant to online medical knowledge discovery and comprehension, which are essential factors to promote the value of health information.