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Relevant bibliographies by topics / Query formulation

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Academic literature on the topic 'Query formulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Query formulation"

1

Wacholder, Nina. "Interactive query formulation." Annual Review of Information Science and Technology 45, no. 1 (2011): 157–96. http://dx.doi.org/10.1002/aris.2011.1440450111.

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Cheung, Alvin, and Armando Solar-Lezama. "Computer-Assisted Query Formulation." Foundations and Trends® in Programming Languages 3, no. 1 (2016): 1–94. http://dx.doi.org/10.1561/2500000018.

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Dr.A., Mummoorthy, Bhasker B., and Karthik Deep Yadav S.J. "Query Formulation Technique Using of Data Web Mining." Bonfring International Journal of Networking Technologies and Applications 5, no. 1 (2018): 06–08. http://dx.doi.org/10.9756/bijnta.8368.

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Saito, Yasunori. "Information seeking and query formulation." Library and Information Science 30 (March 31, 1993): 77–92. http://dx.doi.org/10.46895/lis.30.77.

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Bhatia, Sanjiv K., Jitender S. Deogun, and Vijay V. Raghavan. "Conceptual query formulation and retrieval." Journal of Intelligent Information Systems 5, no. 3 (1995): 183–209. http://dx.doi.org/10.1007/bf00962233.

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Efthimiadis, Efthimis N., Jeff Huang, Amanda Spink, and Jim Jansen. "Query formulation in web search." Proceedings of the American Society for Information Science and Technology 46, no. 1 (2009): 1–3. http://dx.doi.org/10.1002/meet.2009.1450460131.

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Silverstein, Steven H. "An Index Model for Query Formulation." Legal Reference Services Quarterly 10, no. 3 (1990): 115–24. http://dx.doi.org/10.1300/j113v10n03_06.

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Wong, S. K. M., and Y. Y. Yao. "Query formulation in linear retrieval models." Journal of the American Society for Information Science 41, no. 5 (1990): 334–41. http://dx.doi.org/10.1002/(sici)1097-4571(199007)41:5<334::aid-asi4>3.0.co;2-2.

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Niemi, Timo, and Kalervo Järvelin. "Advanced query formulation in deductive databases." Information Processing & Management 28, no. 2 (1992): 181–99. http://dx.doi.org/10.1016/0306-4573(92)90045-2.

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Culpepper, J. Shane, Guglielmo Faggioli, Nicola Ferro, and Oren Kurland. "Topic Difficulty: Collection and Query Formulation Effects." ACM Transactions on Information Systems 40, no. 1 (2022): 1–36. http://dx.doi.org/10.1145/3470563.

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Several recent studies have explored the interaction effects between topics, systems, corpora, and components when measuring retrieval effectiveness. However, all of these previous studies assume that a topic or information need is represented by a single query. In reality, users routinely reformulate queries to satisfy an information need. In recent years, there has been renewed interest in the notion of “query variations” which are essentially multiple user formulations for an information need. Like many retrieval models, some queries are highly effective while others are not. This is often

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Dissertations / Theses on the topic "Query formulation"

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White, Barbara Jo. "Evaluating the impact of typical images for visual query formulation on search efficacy /." Full text available from ProQuest UM Digital Dissertations, 2005. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1253473101&SrchMode=1&sid=3&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1193754304&clientId=22256.

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Munir, Kamran. "Ontology-Driven Relational Query Formulation Using the Semantic and Assertion Capabilities of OWL-DL." Thesis, University of the West of England, Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.524696.

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Maxwell, Kylie Tamsin. "Term selection in information retrieval." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/20389.

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Systems trained on linguistically annotated data achieve strong performance for many language processing tasks. This encourages the idea that annotations can improve any language processing task if applied in the right way. However, despite widespread acceptance and availability of highly accurate parsing software, it is not clear that ad hoc information retrieval (IR) techniques using annotated documents and requests consistently improve search performance compared to techniques that use no linguistic knowledge. In many cases, retrieval gains made using language processing components, such as

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Phillips, Robert H. "The effect of denormalized schemas on ad-hoc query formulation: a human factors experiment in database design." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54262.

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The information systems literature is rich with studies of database organization and its impact on machine, programmer, and administrative efficiency. Little attention, however, has been paid to the impact of database organization on end-user interactions with computer systems. This research effort addressed this increasingly important issue by examining the effects of database organization on the ability of end-users to locate and extract desired information. The study examined the impact of normalization levels of external relational database schema on end-user query success. It has been su

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Appleton, Elizabeth A. "Exploring the Use of Evidence Based Practice Questions to Improve the Search Process." Thesis, School of Information and Library Science, 2007. http://hdl.handle.net/1901/386.

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Evidence Based Practice (EBP) is a relatively new approach that professionals are using to cope with the ever-growing body of literature in their fields. The goal of EBP is to effectively use this body of literature to improve professional practice, thus improving the quality of services. A major component of EBP is asking a focused, well-built question, referred to in this paper as an Evidence Based Practice Question (EBPQ). This paper reports the findings of an exploratory study that examines the use an EBPQ to respond to reference questions emailed to a university library reference desk.

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Ziane, Mikal, and François Bouillé. "Optimisation de requêtes pour un système de gestion de bases de données parallèle." Paris 6, 1992. http://www.theses.fr/1992PA066689.

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Dans le cadre du projet ESPRIT II EDS nous avons conçu et réalisé un optimiseur physique pour un système de gestion de bases de données parallèle. Cet optimiseur prend en compte plusieurs types de parallélisme, d'algorithmes parallèles et de stratégies de fragmentation. D'autre part, nous dégageons quels types de connaissance déterminent l'extensibilité et l'efficacité d'un optimiseur. Enfin, nous proposons une nouvelle méthode d'optimisation de la traversée de chemins dans les bases de données à objets, qui améliore les méthodes traditionnelles.

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Webber, Carine Geltrudes. "O estudo e desenvolvimento do protótipo de uma ferramenta de apoio a formulação de consultas a bases de dados na área da saúde." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 1997. http://hdl.handle.net/10183/18243.

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O objetivo deste trabalho é, através do estudo de diversas tecnologias, desenvolver o protótipo de uma ferramenta capaz de oferecer suporte ao usuário na formulacdo de uma consulta a MEDLINE (Medical Literature Analysis and Retrieval System On Line). A MEDLINE é um sistema de recuperação de informações bibliográficas, na área da biomedicina, desenvolvida pela National Library of Medicine. Ela é uma ferramenta cuja utilizando tem sido ampliada nesta área em decorrência do aumento da utilizando de literatura, disponível eletronicamente, por profissionais da área da saúde. As pessoas, em geral, b

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Tseng, Liang-Chun. "Modelling users' contextual querying behaviour for web image searching." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/61049/1/Liang-Chun_Tseng_Thesis.pdf.

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The rapid growth of visual information on Web has led to immense interest in multimedia information retrieval (MIR). While advancement in MIR systems has achieved some success in specific domains, particularly the content-based approaches, general Web users still struggle to find the images they want. Despite the success in content-based object recognition or concept extraction, the major problem in current Web image searching remains in the querying process. Since most online users only express their needs in semantic terms or objects, systems that utilize visual features (e.g., color o

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Latour, Marilyne. "Du besoin d'informations à la formulation des requêtes : étude des usages de différents types d'utilisateurs visant l'amélioration d'un système de recherche d'informations." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENL015/document.

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Devant des collections massives et hétérogènes de données, les systèmes de RI doivent désormais pouvoir appréhender des comportements d'utilisateurs aussi variés qu'imprévisibles. L'objectif de notre travail est d'évaluer la façon dont un même utilisateur verbalise un besoin informationnel à travers un énoncé de type « expression libre » (appelé langage naturel) et un énoncé de type mots-clés (appelé langage de requêtes). Pour cela, nous nous situons dans un contexte applicatif, à savoir des demandes de remboursement des utilisateurs d'un moteur de recherche dédié à des études économiques en f

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Limbu, Dilip Kumar. "Contextual information retrieval from the WWW." Click here to access this resource online, 2008. http://hdl.handle.net/10292/450.

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Contextual information retrieval (CIR) is a critical technique for today’s search engines in terms of facilitating queries and returning relevant information. Despite its importance, little progress has been made in its application, due to the difficulty of capturing and representing contextual information about users. This thesis details the development and evaluation of the contextual SERL search, designed to tackle some of the challenges associated with CIR from the World Wide Web. The contextual SERL search utilises a rich contextual model that exploits implicit and explicit data to modify

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Books on the topic "Query formulation"

1

Solar-Lezama, Armando, and Alvin Cheung. Computer-Assisted Query Formulation. Now Publishers, 2016.

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Mannino. Database Design, Query Formulation, and Administration. Chicago Business Press, 2022.

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Database Design, Query Formulation, and Administration, 8e Ebook. Chicago Business Press, 2022.

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Interactive query formulation and feedback experiment in information retrieval. University Microfilms International, 1990.

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Database Design: Design, Query, Formulation, and Administration Using Oracle and PostgreSQL. SAGE Publications, Incorporated, 2018.

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Database Design, Application Development, and Administration: Design, Query, Formulation, and Administration Using Oracle and PostgreSQL. Chicago Business Press, 2018.

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Improving information search at the user interface: The impact of graphical innovation on query formulation and expression. University Microfilms International, 1992.

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The effect of denormalized schemas on ad-hoc query formulation: A human factors experiment in database design. University Microfilms International, 1989.

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9

Approaches to search formulation and query expansion in information systems: DRS, DBMS, ES : final report to the British Library Research and Development Department on Project RDD/G/102. British Library?], 1992.

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Book chapters on the topic "Query formulation"

1

Hagen, Matthias, and Benno Maria Stein. "Capacity-Constrained Query Formulation." In Research and Advanced Technology for Digital Libraries. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15464-5_38.

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Trigoni, Agathoniki. "Interactive Query Formulation in Semistructured Databases." In Flexible Query Answering Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36109-x_28.

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Mishne, Gilad, and Maarten de Rijke. "Query Formulation for Answer Projection." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31865-1_39.

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Amsterdamer, Yael, and Yehuda Callen. "Provenance-Based SPARQL Query Formulation." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12423-5_9.

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Fu, Lin, Dion Hoe-Lian Goh, Schubert Shou-Boon Foo, and Yohan Supangat. "Query Formulation with a Search Assistant." In Digital Libraries: International Collaboration and Cross-Fertilization. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30544-6_55.

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Soylu, Ahmet, and Martin Giese. "Qualifying Ontology-Based Visual Query Formulation." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26154-6_19.

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Gevers, Theo, and Arnold W. M. Smeulders. "Interactive Query Formulation for Object Search." In Visual Information and Information Systems. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48762-x_73.

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Lee, Chia-Jung, Yi-Chun Lin, Ruey-Cheng Chen, and Pu-Jen Cheng. "Selecting Effective Terms for Query Formulation." In Information Retrieval Technology. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04769-5_15.

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Bhowmick, Sourav S., Byron Choi, and Chengkai Li. "Simulation of Visual Subgraph Query Formulation." In Human Interaction with Graphs. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01861-9_7.

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Dreher, Heinz, and Robert Williams. "Assisted Query Formulation Using Normalised Word Vector and Dynamic Ontological Filtering." In Flexible Query Answering Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11766254_24.

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Conference papers on the topic "Query formulation"

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Spiess, Florian, and Heiko Schuldt. "Expressive Multimedia Query Formulation for Novices in Virtual Reality with Vitrivr-VR." In 2024 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2024. https://doi.org/10.1109/cbmi62980.2024.10859198.

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Ahanger, Gulrukh, Dan Benson, and Thomas D. Little. "Video query formulation." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Wayne Niblack and Ramesh C. Jain. SPIE, 1995. http://dx.doi.org/10.1117/12.205295.

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Yong, Zhou, Sourav S. Bhowmick, Erwin Leonardi, and K. G. Widjanarko. "XBLEND: Visual XML Query Formulation Meets Query Processing." In 2009 IEEE 25th International Conference on Data Engineering (ICDE). IEEE, 2009. http://dx.doi.org/10.1109/icde.2009.57.

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Chen, Lu, and Caslon Chua. "Interactive interface for query formulation." In the 25th Australian Computer-Human Interaction Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2541016.2541055.

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Fails, Jerry Alan, Maria Soledad Pera, Oghenemaro Anuyah, Casey Kennington, Katherine Landau Wright, and William Bigirimana. "Query Formulation Assistance for Kids." In IDC '19: Interaction Design and Children. ACM, 2019. http://dx.doi.org/10.1145/3311927.3323131.

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Lim, Joo-Hwee. "Explicit query formulation with visual keywords." In the eighth ACM international conference. ACM Press, 2000. http://dx.doi.org/10.1145/354384.376298.

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Targino, Natacha, Amanda Lopes, and Damires Souza. "Making SPARQL query formulation more intuitive." In iiWAS '15: The 17th International Conference on Information Integration and Web-based Application & Services. ACM, 2015. http://dx.doi.org/10.1145/2837185.2837272.

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Anuyah, Oghenemaro, Jerry Alan Fails, and Maria Soledad Pera. "Investigating query formulation assistance for children." In IDC '18: Interaction Design and Children. ACM, 2018. http://dx.doi.org/10.1145/3202185.3210779.

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Abu Onq, Nuha, Mark Sanderson, and Falk Scholer. "Classifying Term Variants in Query Formulation." In SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2025. https://doi.org/10.1145/3726302.3729924.

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Elariss, H. E., and S. Khaddaj. "Query Formulation of a Visual Query Language for Mobile GIS." In Software Engineering. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.677-056.

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Reports on the topic "Query formulation"

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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu

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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu

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