A multiagent framework for querying distributed digital collections
Publication date
2020
Editors
Rocha, Ana
Steels, Luc
van den Herik, Jaap
Advisors
Supervisors
Document Type
Part of book
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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