A multiagent framework for querying distributed digital collections

Publication date

2020

Authors

de Mooij, A. JanISNI 0000000492798274
Kurtan, CanISNI 0000000492901964
Baas, J.ISNI 0000000517693373
Dastani, MehdiISNI 0000000043464658

Editors

Rocha, Ana
Steels, Luc
van den Herik, Jaap

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

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.

Keywords

Federated Search, Information Retrieval, Multiagent System, Semantic Web, Artificial Intelligence, Software

Citation

de Mooij, J, Kurtan, C, Baas, J & Dastani, M 2020, A multiagent framework for querying distributed digital collections. in A Rocha, L Steels & J van den Herik (eds), ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. vol. 1, SciTePress, pp. 515-521, 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, Valletta, Malta, 22/02/20. https://doi.org/10.5220/0009154005150521, conference