Evaluation Framework for Search Methods Focused on Dataset Findability in Open Data Catalogs

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00342949" target="_blank" >RIV/68407700:21240/20:00342949 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11320/20:10420920

Result on the web

<a href="http://dx.doi.org/10.1145/3428757.3429973" target="_blank" >http://dx.doi.org/10.1145/3428757.3429973</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3428757.3429973" target="_blank" >10.1145/3428757.3429973</a>

Result language

angličtina

Original language name

Evaluation Framework for Search Methods Focused on Dataset Findability in Open Data Catalogs

Original language description

Many institutions publish datasets as Open Data in catalogs, however, their retrieval remains problematic issue due to the absence of dataset search benchmarking. We propose a framework for evaluating findability of datasets, regardless of retrieval models used. As task-agnostic labeling of datasets by ground truth turns out to be infeasible in the general domain of open data datasets, the proposed framework is based on evaluation of entire retrieval scenarios that mimic complex retrieval tasks. In addition to the framework we present a proof of concept specification and evaluation on several similarity-based retrieval models and several dataset discovery scenarios within a catalog, using our experimental evaluation tool. Instead of traditional matching of query with metadata of all the datasets, in similarity-based retrieval the query is formulated using a set of datasets (query by example) and the most similar datasets to the query set are retrieved from the catalog as a result.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA19-01641S" target="_blank" >GA19-01641S: Contextual Similarity Search in Open Data</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services

ISBN

978-1-4503-8924-2

ISSN

—

e-ISSN

—

Number of pages

10

Pages from-to

200-209

Publisher name

Association for Computing Machinery

Place of publication

New York

Event location

Chiang Mai (online)

Event date

Nov 30, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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