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  Browse All Reviews > Information Systems (H) > Information Storage And Retrieval (H.3) > Information Search And Retrieval (H.3.3) > Query Formulation (H.3.3...)  
 
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  1-10 of 35 Reviews about "Query Formulation (H.3.3...)": Date Reviewed
  Semantic-aware top-k spatial keyword queries
Qian Z., Xu J., Zheng K., Zhao P., Zhou X. World Wide Web 21(3): 573-594, 2018.  Type: Article

The authors present their enhancements to spatial keyword queries by using probabilistic topic modeling to incorporate semantic information. The topic model is based on latent Dirichlet allocation (LDA), which performs a statistical an...

Aug 29 2018
  Exemplar queries: a new way of searching
Mottin D., Lissandrini M., Velegrakis Y., Palpanas T. The VLDB Journal: The International Journal on Very Large Data Bases 25(6): 741-765, 2016.  Type: Article

Technological facilities for storing tremendous amounts of information pose challenging problems with respect to their effective utilization. Vast amounts of data need to be searched for matching patterns, or for some collections of ke...

Jan 26 2017
  A term-based methodology for query reformulation understanding
Sloan M., Yang H., Wang J. Information Retrieval 18(2): 145-165, 2015.  Type: Article

When conducting a search, a user typically reformulates the query after observing the results to maximize the likelihood of satisfying her information needs. An interesting research question is how to model the query term evolution and...

Jun 29 2015
  User defined topological predicates in database systems
Behr T., Güting R. Geoinformatica 14(1): 23-53, 2010.  Type: Article

Databases need not be limited to holding data measured in common units, such as money. The authors of this paper address using databases that store data in topological units, such as geometric points, lines, clusters, and areas. The da...

Sep 16 2010
  User preference: a measure of query-term quality
Wacholder N., Liu L. Journal of the American Society for Information Science and Technology 57(12): 1566-1580, 2006.  Type: Article

The value of a textbook index depends on its value to readers. This paper studies textbook index quality from the viewpoint of user acceptance....

Nov 29 2007
  On a combination of probabilistic and Boolean IR models for WWW document retrieval
Yoshioka M., Haraguchi M. ACM Transactions on Asian Language Information Processing 4(3): 340-356, 2005.  Type: Article

The authors presume that readers will have substantial knowledge of the details of query reformulation in the context of information retrieval (IR), including background material, acronyms, and a significant familiarity with some of th...

Jun 5 2006
  Retrieval by spatial similarity: an algorithm and a comparative evaluation
Di Sciascio E., Mongiello M., Donini F., Allegretti L. Pattern Recognition Letters 25(14): 1633-1645, 2004.  Type: Article

Di Sciascio et al. propose an algorithm for retrieval by spatial similarity that measures the degree of similarity between the spatial layout of objects in a sketched query, and the layout of objects in a symbolic image. The algorithm ...

Mar 10 2005
  Retrieval effectiveness of an ontology-based model for information selection
Khan L., McLeod D., Hovy E. The VLDB Journal: The International Journal on Very Large Data Bases 13(1): 71-85, 2004.  Type: Article

A method of retrieving documents, based on domain-specific context and meaning, is described in this paper. This is a major and significant improvement over keyword-based search methods, including those employing keyword expansion....

Oct 26 2004
  Content-based text querying with ontological descriptors
Andreasen T., Jensen P., Nilsson J., Paggio P., Pedersen B., Thomsen H. Data & Knowledge Engineering 48(2): 199-219, 2004.  Type: Article

An approach to querying text sources based on extracting and evaluating semantic content, given a formal ontology for the text domain, is described in this paper. Queries take the form of natural language expressions, and the system is...

May 7 2004
  Intermediary”s information seeking, inquiring minds, and elicitation styles
Wu M., Liu Y. Journal of the American Society for Information Science and Technology 54(12): 1117-1133, 2003.  Type: Article

Search intermediaries, such as reference librarians, mediate between complex databases and patrons with search requests. Since patrons may be unable to describe what information they require, and typically do not know what information ...

Feb 9 2004
 
 
 
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