A Multiagent Framework for Querying Distributed Digital Collections

Jan de Mooij, Can Kurtan, Jurian Baas, Mehdi Dastani

Abstract

Since initial digitization strategies are often inspired by existing usage of the data, and usage of archives often varies among institutes, there is a lot of variation in accessibility of digital collections. We identify four challenges that researchers may encounter when querying such collections in conjunction for research purposes, namely query formulation, alignment, source selection and lack of transparency. We present a multiagent architecture to help overcome these challenges and discuss an prototype implementation of this framework. By means of a query scenario we show the utility of using the framework for humanities researchers.

Download


Paper Citation


in Harvard Style

de Mooij J., Kurtan C., Baas J. and Dastani M. (2020). A Multiagent Framework for Querying Distributed Digital Collections.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH, ISBN 978-989-758-395-7, pages 515-521. DOI: 10.5220/0009154005150521


in Bibtex Style

@conference{artidigh20,
author={Jan de Mooij and Can Kurtan and Jurian Baas and Mehdi Dastani},
title={A Multiagent Framework for Querying Distributed Digital Collections},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH,},
year={2020},
pages={515-521},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009154005150521},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ARTIDIGH,
TI - A Multiagent Framework for Querying Distributed Digital Collections
SN - 978-989-758-395-7
AU - de Mooij J.
AU - Kurtan C.
AU - Baas J.
AU - Dastani M.
PY - 2020
SP - 515
EP - 521
DO - 10.5220/0009154005150521