A multiagent framework for querying distributed digital collections

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

doi:10.5220/0009154005150521

A multiagent framework for querying distributed digital collections

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence
Editors	Ana Rocha, Luc Steels, Jaap van den Herik
Publisher	SciTePress
Pages	515-521
Number of pages	7
Volume	1
ISBN (Electronic)	978-989-758-395-7
DOIs	https://doi.org/10.5220/0009154005150521
Publication status	Published - 2020
Event	12th International Conference on Agents and Artificial Intelligence, ICAART 2020 - Valletta, Malta Duration: 22 Feb 2020 → 24 Feb 2020

Conference

Conference	12th International Conference on Agents and Artificial Intelligence, ICAART 2020
Country/Territory	Malta
City	Valletta
Period	22/02/20 → 24/02/20

Funding

This work was done in the context of the Golden Agents project (www.goldenagents.org), funded by the Netherlands Organization of Science NWO – Large Investments program.

Keywords

Federated Search
Information Retrieval
Multiagent System
Semantic Web

Access to Document

10.5220/0009154005150521

ARTIDIGH_2020_4Final published version, 384 KB

Cite this

@inproceedings{e092f2e7bc774e2f978fd6f0f85f5031,

title = "A multiagent framework for querying distributed digital collections",

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",

author = "\{de Mooij\}, Jan and Can Kurtan and Jurian Baas and Mehdi Dastani",

year = "2020",

doi = "10.5220/0009154005150521",

language = "English",

volume = "1",

pages = "515--521",

editor = "Rocha, \{ Ana \} and Steels, \{Luc \} and \{van den Herik\}, \{Jaap \}",

booktitle = "ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence",

publisher = "SciTePress",

note = "12th International Conference on Agents and Artificial Intelligence, ICAART 2020 ; Conference date: 22-02-2020 Through 24-02-2020",

}

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

A multiagent framework for querying distributed digital collections. / de Mooij, Jan; Kurtan, Can; Baas, Jurian et al.
ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. ed. / Ana Rocha; Luc Steels; Jaap van den Herik. Vol. 1 SciTePress, 2020. p. 515-521.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A multiagent framework for querying distributed digital collections

AU - de Mooij, Jan

AU - Kurtan, Can

AU - Baas, Jurian

AU - Dastani, Mehdi

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Federated Search

KW - Information Retrieval

KW - Multiagent System

KW - Semantic Web

UR - https://www.scopus.com/pages/publications/85083167092

U2 - 10.5220/0009154005150521

DO - 10.5220/0009154005150521

M3 - Conference contribution

AN - SCOPUS:85083167092

VL - 1

SP - 515

EP - 521

BT - ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence

A2 - Rocha, Ana

A2 - Steels, Luc

A2 - van den Herik, Jaap

PB - SciTePress

T2 - 12th International Conference on Agents and Artificial Intelligence, ICAART 2020

Y2 - 22 February 2020 through 24 February 2020

ER -

A multiagent framework for querying distributed digital collections

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

A Computational Framework for Organizing and Querying Cultural Heritage Archives

Cite this