Conversational querying

Ioannidis, Yannis; Viglas, Stratis D.

doi:10.1016/j.is.2004.09.002

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…Chen and Li [24] provide methods to mine query logs and cluster results according to user characteristics. Ioannidis and Viglas [49] also propose the idea of conversational querying in which queries are interpreted in the context of the previous queries in a query session.…”

Section: Context and Personalizationmentioning

confidence: 99%

Making database systems usable

Jagadish

Chapman

Elkiss

et al. 2007

Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data

208

147

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Database researchers have striven to improve the capability of a database in terms of both performance and functionality. We assert that the usability of a database is as important as its capability. In this paper, we study why database systems today are so difficult to use. We identify a set of five pain points and propose a research agenda to address these. In particular, we introduce a presentation data model and recommend direct data manipulation with a schema later approach. We also stress the importance of provenance and of consistency across presentation models.

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Section: Context and Personalizationmentioning

confidence: 99%

Making database systems usable

Jagadish

Chapman

Elkiss

et al. 2007

Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data

208

147

View full text Add to dashboard Cite

show abstract

“…While seemingly impossible, these systems have the opportunity to leverage the unique properties of interactive data exploration. Specifically, visual tools have encouraged a more conversational interaction paradigm [15], whereby users incrementally compose and iteratively refine queries throughout the data exploration process. Moreover, this style of interaction also results in several seconds (or even minutes) of user "think time" where the system is completely idle.…”

Section: Introductionmentioning

confidence: 99%

Revisiting reuse for approximate query processing

et al. 2017

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Visual data exploration tools allow users to quickly gather insights from new datasets. As dataset sizes continue to increase, though, new techniques will be necessary to maintain the interactivity guarantees that these tools require. Approximate query processing (AQP) attempts to tackle this problem and allows systems to return query results at "human speed." However, existing AQP techniques start to break down when confronted with ad hoc queries that target the tails of the distribution. We therefore present an AQP formulation that can provide low-error approximate results at interactive speeds, even for queries over rare subpopulations. In particular, our formulation treats query results as random variables in order to leverage the ample opportunities for result reuse inherent in interactive data exploration. As part of our approach, we apply a variety of optimization techniques that are based on probability theory, including new query rewrite rules and index structures. We implemented these techniques in a prototype system and show that they can achieve interactivity where alternative approaches cannot.

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Organic Databases

Jagadish

Nandi

2011

Databases in Networked Information Systems

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Conversational querying

Cited by 6 publications

References 19 publications

Making database systems usable

Making database systems usable

Revisiting reuse for approximate query processing

Organic Databases

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