Building lightweight semantic search engines

Michael  Rovatsos; Rosa Filgueira

doi:10.1109/e-Science58273.2023.10254874

Building lightweight semantic search engines

Michael Rovatsos^*, Rosa Filgueira^*

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Despite significant advances in methods for processing large volumes of structured and unstructured data, surprisingly little attention has been devoted to developing general practical methodologies that leverage state-of-the-art technologies to build domain-specific semantic search engines tailored to use cases where they could provide substantial benefits. This paper presents a methodology for developing these kinds of systems in a lightweight, modular, and flexible way with a particular focus on providing powerful search tools in domains where non-expert users encounter challenges in exploring the data repository at hand. Using an academic expertise finder tool as a case study, we demonstrate how this methodology allows us to leverage powerful off-the-shelf technology to enable the rapid, low-cost development of semantic search engines, while also affording developers with the necessary flexibility to embed user-centric design in their development in order to maximise uptake and application value.

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	2023 IEEE 19th international conference on e-science (e-science)
Editors	George Angelos Papadopoulos, Rosa Filgueira, Rafael Ferreira Da Silva
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	10
ISBN (Electronic)	9798350322231
ISBN (Print)	9798350322248
DOIs	https://doi.org/10.1109/e-Science58273.2023.10254874
Publication status	Published - 25 Sept 2023
Event	19th IEEE International Conference on eScience - Limassol, Cyprus, Limassol, Cyprus Duration: 9 Oct 2023 → 13 Oct 2023 Conference number: 19 https://www.escience-conference.org/2023/

Publication series

Name	IEEE international conference on e-science
ISSN (Print)	2325-372X
ISSN (Electronic)	2325-3703

Conference

Conference	19th IEEE International Conference on eScience
Abbreviated title	eScience
Country/Territory	Cyprus
City	Limassol
Period	9/10/23 → 13/10/23
Internet address	https://www.escience-conference.org/2023/

Keywords

Semantic search
Natural language technologies
Neural information retrieval
Knowledge graphs

Access to Document

10.1109/e-Science58273.2023.10254874

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Copyright © 2023 IEEE. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/e-Science58273.2023.10254874.
Accepted author manuscript, 1.92 MB

Cite this

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title = "Building lightweight semantic search engines",

abstract = "Despite significant advances in methods for processing large volumes of structured and unstructured data, surprisingly little attention has been devoted to developing general practical methodologies that leverage state-of-the-art technologies to build domain-specific semantic search engines tailored to use cases where they could provide substantial benefits. This paper presents a methodology for developing these kinds of systems in a lightweight, modular, and flexible way with a particular focus on providing powerful search tools in domains where non-expert users encounter challenges in exploring the data repository at hand. Using an academic expertise finder tool as a case study, we demonstrate how this methodology allows us to leverage powerful off-the-shelf technology to enable the rapid, low-cost development of semantic search engines, while also affording developers with the necessary flexibility to embed user-centric design in their development in order to maximise uptake and application value.",

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booktitle = "Proceedings",

note = "19th IEEE International Conference on eScience, eScience ; Conference date: 09-10-2023 Through 13-10-2023",

url = "https://www.escience-conference.org/2023/",

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Rovatsos, M & Filgueira, R 2023, Building lightweight semantic search engines. in GA Papadopoulos, R Filgueira & RF Da Silva (eds), Proceedings: 2023 IEEE 19th international conference on e-science (e-science)., 10254874, IEEE international conference on e-science, IEEE, Piscataway, NJ, 19th IEEE International Conference on eScience, Limassol, Cyprus, 9/10/23. https://doi.org/10.1109/e-Science58273.2023.10254874

Building lightweight semantic search engines. / Rovatsos, Michael ; Filgueira, Rosa.
Proceedings: 2023 IEEE 19th international conference on e-science (e-science). ed. / George Angelos Papadopoulos; Rosa Filgueira; Rafael Ferreira Da Silva. Piscataway, NJ: IEEE, 2023. 10254874 (IEEE international conference on e-science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Despite significant advances in methods for processing large volumes of structured and unstructured data, surprisingly little attention has been devoted to developing general practical methodologies that leverage state-of-the-art technologies to build domain-specific semantic search engines tailored to use cases where they could provide substantial benefits. This paper presents a methodology for developing these kinds of systems in a lightweight, modular, and flexible way with a particular focus on providing powerful search tools in domains where non-expert users encounter challenges in exploring the data repository at hand. Using an academic expertise finder tool as a case study, we demonstrate how this methodology allows us to leverage powerful off-the-shelf technology to enable the rapid, low-cost development of semantic search engines, while also affording developers with the necessary flexibility to embed user-centric design in their development in order to maximise uptake and application value.

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M3 - Conference contribution

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ER -

Building lightweight semantic search engines

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Keywords

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