Example-based Search: a New Frontier for Exploratory Search

Davide Mottin, Matteo Lissandrini, Themis Palpanas, Yannis Velegrakis

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingCommunication

Abstract

Exploration is one of the primordial ways to accrue knowledge about the world and its nature. As we accumulate, mostly automatically, data at unprecedented volumes and speed, our datasets have become complex and hard to understand. In this context exploratory search provides a handy tool for progressively gather the necessary knowledge by starting from a tentative query that hopefully leads to answers at least partially relevant and that can provide cues about the next queries to issue. An exploratory query should be simple enough to avoid complicate declarative languages (such as SQL) and mechanisms, and at the same time retain the flexibility and expressiveness required to express complex information needs. Recently, we have witnessed a rediscovery of the so called example-based methods, in which the user, or the analyst circumvent query languages by using examples as input. This shift in semantics has led to a number of methods receiving as query a set of example members of the answer set. The search system then infers the entire answer set based on the given examples and any additional information provided by the underlying database. In this tutorial, we present an excursus over the main Example-based methods for Exploratory Search. We show how different data types require different techniques, and present algorithms that are specifically designed for relational, textual, and graph data. We conclude by providing a unifying view of this query-paradigm and identify new exciting research directions.
Original languageEnglish
Title of host publicationProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019
Publication date2020
Pages1411–1412
DOIs
Publication statusPublished - 2020
EventACM SIGIR Conference on Research and Development in Information Retrieval - Paris, France
Duration: 21 Jul 201925 Jul 2019
Conference number: 42nd

Conference

ConferenceACM SIGIR Conference on Research and Development in Information Retrieval
Number42nd
CountryFrance
CityParis
Period21/07/201925/07/2019

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Mottin, D., Lissandrini, M., Palpanas, T., & Velegrakis, Y. (2020). Example-based Search: a New Frontier for Exploratory Search. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019 (pp. 1411–1412) https://doi.org/10.1145/3331184.3331387