Ontology-Based Semantic Similarity Approach for Biomedical Dataset Retrieval

Xu Wang*, Zhisheng Huang, Frank van Harmelen

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

Ontology-based semantic similarity approaches play an important role in text-similarity task, thanks to its ability of explanation. Ontology-based semantic similarity approaches can explain how two terms are similar with help of rich knowledge in ontology. Information retrieval aims to find relevant information for given user query. As a subareas of information retrieval, dataset retrieval is an activity to find dataset which are relevant to an information need, by using full-text indexing approach or content-based indexing approach. Ontology-based semantic similarity approaches can not only do some information retrieval tasks, such as full-text mapping, but also finding deeper similar information with the help of knowledge-richness in ontology. Because of the advantage of ontology-based similarity approaches, we are looking forwards to find the possibility to using ontology-based similarity for datasets retrieval. In this paper, we provide an ontology-based similarity approach for dataset retrieval. We run our novel approach on the bioCADDIE 2016 Dataset Retrieval Challenge. After ruining experiments, we evaluate our results with several information retrieval evaluation measures. The evaluation results show that our approach could perform well.

Original languageEnglish
Title of host publicationHealth Information Science
Subtitle of host publication9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings
EditorsZhisheng Huang, Siuly Siuly, Hua Wang, Yanchun Zhang, Rui Zhou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages49-60
Number of pages12
ISBN (Electronic)9783030619510
ISBN (Print)9783030619503
DOIs
Publication statusPublished - 2020
Event9th International Conference on Health Information Science, HIS 2020 - Amsterdam, Netherlands
Duration: 20 Oct 202023 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12435 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Health Information Science, HIS 2020
CountryNetherlands
CityAmsterdam
Period20/10/2023/10/20

Keywords

  • Biomedical dataset
  • Dataset retrieval
  • Semantic similarity

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