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      Towards More Usable Dataset Search: From Query Characterization to Snippet Generation

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          Abstract

          Reusing published datasets on the Web is of great interest to researchers and developers. Their data needs may be met by submitting queries to a dataset search engine to retrieve relevant datasets. In this ongoing work towards developing a more usable dataset search engine, we characterize real data needs by annotating the semantics of 1,947 queries using a novel fine-grained scheme, to provide implications for enhancing dataset search. Based on the findings, we present a query-centered framework for dataset search, and explore the implementation of snippet generation and evaluate it with a preliminary user study.

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          Google Dataset Search: Building a search engine for datasets in an open Web ecosystem

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            Finding Top-k Min-Cost Connected Trees in Databases

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              Dataset Retrieval

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                Author and article information

                Journal
                29 August 2019
                Article
                10.1145/3357384.3358096
                1908.11146
                6fc527e6-4970-408c-a1fc-d49d80d9e65c

                http://creativecommons.org/licenses/by/4.0/

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                4 pages, The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019)
                cs.IR

                Information & Library science
                Information & Library science

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