EquiX---a search and query language for XML
Journal of the American Society for Information Science and Technology - XML
XQBE (XQuery By Example): A visual interface to the standard XML query language
ACM Transactions on Database Systems (TODS)
Automating the Design and Construction of Query Forms
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Beyond Single-Page Web Search Results
IEEE Transactions on Knowledge and Data Engineering
Extracting content structure for web pages based on visual representation
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
Toward a semantic granularity model for domain-specific information retrieval
ACM Transactions on Information Systems (TOIS)
Intentions and attention in exploratory health search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Medical information retrieval: an instance of domain-specific search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Vast amount of medical information is increasingly available on the Web. As a result, seeking medical information through queries is gaining importance in the medical domain. The existing keyword-based search engines such as Google, Yahoo fail to suffice the needs of the health-care workers (who are well-versed with the domain knowledge required for querying) using these they often face results which are irrelevant and not useful for their tasks. In this paper, we present the need and the challenges for a user-level, domain-specific query language for the specialized document repositories of the medical domain. This topic has not been sufficiently addressed by the existing approaches including SQL-like query languages or general-purpose keyword-based search engines and document-level indexing based search. We aim to bridge the gap between information needs of the skilled/semi-skilled domain users and the query capability provided by the query language. Overcoming such a challenge can facilitate effective use of large volume of information on the Web (and in the electronic health records (EHRs)repositories).