KeyQuery - A Front End for the Automatic Translation of Keywords into Structured Queries
نویسندگان
چکیده
We demonstrate an approach to transform keyword queries automatically into queries that combine keywords appropriately by boolean operations, such as and and or. Our approach is based on an analysis of relationships between the keywords using a taxonomy. The transformed queries will be sent to a search engine, and the returned results will be presented to the user. We evaluate the effectiveness of our approach by comparing the precision of the results returned for the generated query with the precision of the result for the original query. Our experiments indicate that our approach can improve the precision of the results considerably.
منابع مشابه
Reflecting on Backward Design for Knowledge Translation; Comment on “A Call for a Backward Design to Knowledge Translation”
In a recent Editorial for this journal, El-Jardali and Fadlallah proposed a new framework for Knowledge Translation (KT) in healthcare. Many such frameworks already exist; thus, new entrants to the field must be scrutinized in regard to their unique contributions to advancing understanding and practice. The El-Jardali and Fadlallah framework focuses on policy-level discussions, a relatively und...
متن کاملSemantic Wiki Search
Semantic wikis extend wiki platforms with the ability to represent structured information in a machine-processable way. On top of the structured information in the wiki, novel ways to search, browse, and present the wiki content become possible. However, while powerful query languages offer new opportunities for semantic search, the syntax of formal query languages is not adequate for end users...
متن کاملTechreport Semantic Wiki Search
Semantic wikis extend wiki platforms with the ability to represent structured information in a machine-processable way. On top of the structured information in the wiki, novel ways to search, browse, and present the wiki content become possible. However, while powerful query languages offer new opportunities for semantic search, the syntax of formal query languages is not adequate for end users...
متن کاملA Keyquery-Based Classification System for CORE
We apply keyquery-based taxonomy composition to compute a classification system for the CORE dataset, a shared crawl of about 850 000 scientific papers. Keyquery-based taxonomy composition can be understood as a two-phase hierarchical document clustering technique that utilizes search queries as cluster labels: In a first phase, the document collection is indexed by a reference search engine, a...
متن کاملModeling Users' Information Needs in a Document Recommender for Meetings
People are surrounded by an unprecedented wealth of information. Access to it depends on the availability of suitable search engines, but even when these are available, people often do not initiate a search, because their current activity does not allow them, or they are not aware of the existence of this information. Just-in-time retrieval brings a radical change to the process of query-based ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003