Relevant bibliographies by topics / Query formulation

Academic literature on the topic 'Query formulation'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Query formulation"

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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 (March 30, 2018): 06–08. http://dx.doi.org/10.9756/bijnta.8368.

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

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Silverstein, Steven H. "An Index Model for Query Formulation." Legal Reference Services Quarterly 10, no. 3 (December 5, 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 (July 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 (January 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 (January 31, 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 an artifact of the collection being searched which might be more or less sensitive to word choice. Users rarely have perfect knowledge about the underlying collection, and so finding queries that work is often a trial-and-error process. In this work, we explore the fundamental problem of system interaction effects between collections, ranking models, and queries. To answer this important question, we formalize the analysis using ANalysis Of VAriance (ANOVA) models to measure multiple components effects across collections and topics by nesting multiple query variations within each topic. Our findings show that query formulations have a comparable effect size of the topic factor itself, which is known to be the factor with the greatest effect size in prior ANOVA studies. Both topic and formulation have a substantially larger effect size than any other factor, including the ranking algorithms and, surprisingly, even query expansion. This finding reinforces the importance of further research in understanding the role of query rewriting in IR related tasks.
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ter Hofstede, A. H. M. "Query Formulation as an Information Retrieval Problem." Computer Journal 39, no. 4 (April 1, 1996): 255–74. http://dx.doi.org/10.1093/comjnl/39.4.255.

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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 part-of-speech tagging and head-dependent relations, are offset by significant negative effects. This results in a minimal positive, or even negative, overall impact for linguistically motivated approaches compared to approaches that do not use any syntactic or domain knowledge. In some cases, it may be that syntax does not reveal anything of practical importance about document relevance. Yet without a convincing explanation for why linguistic annotations fail in IR, the intuitive appeal of search systems that ‘understand’ text can result in the repeated application, and mis-application, of language processing to enhance search performance. This dissertation investigates whether linguistics can improve the selection of query terms by better modelling the alignment process between natural language requests and search queries. It is the most comprehensive work on the utility of linguistic methods in IR to date. Term selection in this work focuses on identification of informative query terms of 1-3 words that both represent the semantics of a request and discriminate between relevant and non-relevant documents. Approaches to word association are discussed with respect to linguistic principles, and evaluated with respect to semantic characterization and discriminative ability. Analysis is organised around three theories of language that emphasize different structures for the identification of terms: phrase structure theory, dependency theory and lexicalism. The structures identified by these theories play distinctive roles in the organisation of language. Evidence is presented regarding the value of different methods of word association based on these structures, and the effect of method and term combinations. Two highly effective, novel methods for the selection of terms from verbose queries are also proposed and evaluated. The first method focuses on the semantic phenomenon of ellipsis with a discriminative filter that leverages diverse text features. The second method exploits a term ranking algorithm, PhRank, that uses no linguistic information and relies on a network model of query context. The latter focuses queries so that 1-5 terms in an unweighted model achieve better retrieval effectiveness than weighted IR models that use up to 30 terms. In addition, unlike models that use a weighted distribution of terms or subqueries, the concise terms identified by PhRank are interpretable by users. Evaluation with newswire and web collections demonstrates that PhRank-based query reformulation significantly improves performance of verbose queries up to 14% compared to highly competitive IR models, and is at least as good for short, keyword queries with the same models. Results illustrate that linguistic processing may help with the selection of word associations but does not necessarily translate into improved IR performance. Statistical methods are necessary to overcome the limits of syntactic parsing and word adjacency measures for ad hoc IR. As a result, probabilistic frameworks that discover, and make use of, many forms of linguistic evidence may deliver small improvements in IR effectiveness, but methods that use simple features can be substantially more efficient and equally, or more, effective. Various explanations for this finding are suggested, including the probabilistic nature of grammatical categories, a lack of homomorphism between syntax and semantics, the impact of lexical relations, variability in collection data, and systemic effects in language systems.
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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 suggested in the literature that end-user query success might be improved by presenting external schema in lower level normal forms. This speculation is based on an analytical study of one particular class of query, queries involving join operations. The research presented here provides empirical support for this assertion. However, the implicit assumption that all other queries are neutral in their bias toward a particular level of normalization was found to be false. A class of queries requiring decomposition of prejoined relations was identified which strongly biases normalized relations. Thus, no particular normalization level was shown to dominate unless assumptions were made as to the class of query being formulated. Evidence from field research may be required to completely resolve the issue. The study also examined the interaction effects between normalization levels and other key variables known to impact query success. Significant interactions with user skill and the complexity of the query being made were found. The level of normalization did not impact high skilled users making easy queries or low skilled users making difficult queries. The impact of these interactions, as well as the main effects of the related variables, on query syntax and logic errors holds important implications for database administrators as well as those involved with the development of database query languages.
Ph. D.
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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. A purposive sample of 30 randomly selected reference emails was divided into two groups, the EBPQ group and the control group. The professional searcher who conducted the searches used the same approach in responding to each emailed reference question, except that the EBPQ group searches were guided by EBPQs, and the control group’s responses were not. The results indicate that searches guided by using EBPQs are more focused, apply more resources to the search process, and take less time than searches not guided by using EBPQs. These conclusions suggest that EBPQs appear to be useful for improving that search process and that further research is warranted.
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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, buscam informação e esperam encontrá-la exatamente de acordo com as suas expectativas, de forma ágil e utilizando todas as fontes de recursos disponíveis. Foi com este propósito que surgiram os primeiros Sistema de Recuperação de Informação (SRI) onde, de forma simplificada, um usuário constrói uma consulta, a qual expressa sua necessidade de informação, em seguida o sistema a processa e os resultados obtidas através dela retornam ao usuário. Grande parte dos usuários encontram dificuldades em representar a sua necessidade de informação de forma a obter resultados satisfatórios em um SRI. Os termos que o usuário escolhe para compor a consulta nem sempre são os mesmos que o sistema reconhece. A fim de que um usuário seja bem sucedido na definição dos termos que compõem a sua consulta é aconselhável que ele conheça a terminologia que foi empregada na indexação dos itens que ele deseja recuperar ou que possa contar com um intermediário que possua esse conhecimento. Em situações em que nenhuma dessas possibilidades seja verdadeira recursos que viabilizem uma consulta bem sucedida se fazem necessários. Este trabalho, inicialmente, apresenta um estudo geral sobre os Sistemas de Recuperação de Informações (SRI), enfocando todos os processos envolvidos e relacionados ao armazenamento, organização e a própria recuperação. Posteriormente, são destacados aspectos relacionados aos vocabulários e classificações medicas em uso, os quais serão Úteis para uma maior compreensão das dificuldades encontradas pelos usuários durante a interação com um sistema com esta finalidade. E, finalmente, é apresentado o protótipo do Sistema para Formulação de Consultas a MEDLINE, bem como seus componentes e funcionalidades. O Sistema para Formulação de Consultas a MEDLINE foi desenvolvido com o intuito de permitir que o usuário utilize qualquer termo na formulação de uma consulta destinada a MEDLINE. Ele possibilita a integração de diferentes terminologias médicas, originárias de vocabulários e classificações disponíveis em língua portuguesa e atualmente em uso. Esta abordagem permite a criação de uma terminologia biomédica mais completa, sendo que cada termo mantém relacionamentos, os quais descrevem a sua semântica, com outros.
The goal of this work is, through the study of many technologies, to develop the prototype of a tool able to offer support to the user in query formulation to the MEDLINE (Medical Literature Analysis and Retrieval System On Line). The MEDLINE is a bibliographical information retrieval system in the biomedicine area developed by National Library of Medicine. It is a tool whose usefulness has been amplifyed in this area by the increase of literature utilization, eletronically available, by health care profissionals. People, in general, look for information and are interested in finding it exactly like their expectations, in an agile way and using every single information source available. With this purpouse the first Information Retrieval System (IRS ) emerged, where in a simplifyed way, a user defines a query, that expresses an information necessity and, one step ahead, the system processes it and returns to the user answers from the query. Most of the users think is difficult to represent their information necessity in order to be succesful in searching an IRS. The terms that the user selects to compose the query are not always the same that the system recognizes. In order to be successfull in the definition of the terms that will compose his/her query is advisable that the user know the terminology that was employed in the indexing process of the wanted items or that he/she can have an intermediary person who knows about it. In many situations where no one of these possibilities can be true, resources that make a successfull query possible will be needed. This work, firstly, presents a general study on IRS focusing all the process involved and related to the storage, organization and retrieval. Lately, aspects related to the medical classifications and vocabulary are emphasized, which will be usefull for a largest comprehension of the difficulties found by users during interaction with a system like this. And, finally, the prototype of the Query Formulation System to MEDLINE is presented, as well as its components and funcionalities. The Query Formulation System to MEDLINE was developed with the intention of allowing the user to use any term in the formulation of a query to the MEDLINE. It allows the integration of different medical terminologies originated from classifications and vocabulary available in Portuguese language and in use today. This approach permits the creation of a more complete biomedical terminology in which each term maintains relationships that describe its semantic.
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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 français. Nous avons recueilli via ce moteur, les deux types d'énoncés sur 5 années consécutives totalisant un corpus de 1398 demandes en langage naturel et de 3427 requêtes. Nous avons alors comparé l'expression en tant que tel du besoin informationnel et mis en avant ce qu'apportait, en termes d'informations et de précisions, le recours à l'un ou l'autre du langage utilisé
With the massive and heterogeneous web document collections, IR system must analyze the behaviors of users which are unpredictable and varied. The approach described in this thesis provides a comparison of the verbalizations for both natural language and web query for the same information need by the same user. For this, we used data collected (i.e. users' complaints in natural language and web queries) through a search engine dedicated to economic reports in French over 5 consecutive years totaling a corpus of 1398 natural language requests and 3427 web queries. Then, we compared the expression of the information need and highlighted the contributions in terms of information and clarification, the use of either language used
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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 queries to more accurately reflect the user’s interests as well as to continually build the user’s contextual profile and a shared contextual knowledge base. These profiles are used to filter results from a standard search engine to improve the relevance of the pages displayed to the user. The contextual SERL search has been tested in an observational study that has captured both qualitative and quantitative data about the ability of the framework to improve the user’s web search experience. A total of 30 subjects, with different levels of search experience, participated in the observational study experiment. The results demonstrate that when the contextual profile and the shared contextual knowledge base are used, the contextual SERL search improves search effectiveness, efficiency and subjective satisfaction. The effectiveness improves as subjects have actually entered fewer queries to reach the target information in comparison to the contemporary search engine. In the case of a particularly complex search task, the efficiency improves as subjects have browsed fewer hits, visited fewer URLs, made fewer clicks and have taken less time to reach the target information when compared to the contemporary search engine. Finally, subjects have expressed a higher degree of satisfaction on the quality of contextual support when using the shared contextual knowledge base in comparison to using their contextual profile. These results suggest that integration of a user’s contextual factors and information seeking behaviours are very important for successful development of the CIR framework. It is believed that this framework and other similar projects will help provide the basis for the next generation of contextual information retrieval from the Web.
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Wien, Sigurd. "Efficient Top-K Fuzzy Interactive Query Expansion While Formulating a Query : From a Performance Perspective." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23010.

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Interactive query expansion and fuzzy search are two efficient techniques for assisting a user in an information retrieval process. Interactive query expansion helps the user refine a query by giving suggestions on how a query might be extended to further specify the actual information need of the user. Fuzzy search, on the other hand, supports the user by including results for terms that approximately equals the query string. This avoids reformulating queries with slight misspellings and will retrieve results for indexed terms not spelled as expected. This study will look at the performance aspects of combining these concepts to give the user real time suggestions on how to complete query as the query is formulated letter by letter. These suggestions will be a set of terms from the index that are fuzzy matches of the query string terms, and are chosen based on the individual rank of the term, the semantic correlation between the individual term and the edit distance between the query and the suggestion.The combination of these techniques is challenging from a performance aspect because each of them requires a lot of computation, and their relationship is such that these computations will be multiplicative when combined. Giving suggestions letter by letter as the user types requires a lookup for each letter and fuzzy search will expand each of these lookups with the fuzzy matches of the prefix to match against the index. For each of these different completions of the fuzzy matched prefixes, we will need to calculate the semantic correlation it has to the previous matched terms.This study will present three algorithms to give top-k suggestions for the single term case and then extend these in three ways to handle multi term queries. These algorithms will use a trie based term index with some extensions to enable fast lookup of top-k terms that match a given prefix and to assess the semantic correlation between the terms in the suggestion. The performance review will demonstrate that our approach will be viable to use for presenting the user with suggestions in real time even with a fairly large number of terms.
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Books on the topic "Query formulation"

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Interactive query formulation and feedback experiment in information retrieval. Ann Arbor, Mich: University Microfilms International, 1990.

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Improving information search at the user interface: The impact of graphical innovation on query formulation and expression. Ann Arbor, Mich: 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. Ann Arbor, Mich: University Microfilms International, 1989.

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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. [London: British Library?], 1992.

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Book chapters on the topic "Query formulation"

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Hagen, Matthias, and Benno Maria Stein. "Capacity-Constrained Query Formulation." In Research and Advanced Technology for Digital Libraries, 384–88. Berlin, Heidelberg: 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, 356–69. Berlin, Heidelberg: 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, 523–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31865-1_39.

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Gevers, Theo, and Arnold W. M. Smeulders. "Interactive Query Formulation for Object Search." In Visual Information and Information Systems, 593–600. Berlin, Heidelberg: 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, 168–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04769-5_15.

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Soylu, Ahmet, and Martin Giese. "Qualifying Ontology-Based Visual Query Formulation." In Advances in Intelligent Systems and Computing, 243–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26154-6_19.

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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, 491–500. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30544-6_55.

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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, 282–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11766254_24.

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Telang, Aditya, Sharma Chakravarthy, and Chengkai Li. "Query-By-Keywords (QBK): Query Formulation Using Semantics and Feedback." In Conceptual Modeling - ER 2009, 191–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04840-1_16.

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Seriai, Abdelhak, and Chabane Oussalah. "A Reuse Based Object-Oriented Framework Towards Flexible Formulation of Complex Queries." In Flexible Query Answering Systems, 128–37. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1834-5_12.

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Conference papers on the topic "Query formulation"

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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. New York, New York, USA: 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. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3311927.3323131.

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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. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3202185.3210779.

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Lim, Joo-Hwee. "Explicit query formulation with visual keywords." In the eighth ACM international conference. New York, New York, USA: 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. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2837185.2837272.

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

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Jin, Changjiu, Sourav S. Bhowmick, Byron Choi, and Shuigeng Zhou. "PRAGUE: Towards Blending Practical Visual Subgraph Query Formulation and Query Processing." In 2012 IEEE International Conference on Data Engineering (ICDE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icde.2012.49.

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Pal, Dipasree, and Debasis Ganguly. "Effective Query Formulation in Conversation Contextualization: A Query Specificity-based Approach." In ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3471158.3472237.

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