{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:28:09Z","timestamp":1777854489998,"version":"3.51.4"},"reference-count":27,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T00:00:00Z","timestamp":1563753600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2021,10]]},"abstract":"<jats:p>The Semantic Web allows knowledge discovery on graph-based data sets and facilitates answering complex queries that are extremely difficult to achieve using traditional database approaches. Intuitively, the Semantic Web query language (SPARQL) has a \u2018property path\u2019 feature that enables knowledge discovery in a knowledgebase using its reasoning engine. In this article, we utilise the property path of SPARQL and the other Semantic Web technologies to answer sophisticated queries posed over a disease data set. To this aim, we transform data from a disease web portal to a graph-based data set by designing an ontology, present a template to define the queries and provide a set of conjunctive queries on the data set. We illustrate how the reasoning engine of \u2018property path\u2019 feature of SPARQL can retrieve the results from the designed knowledgebase. The results of this study were verified by two domain experts as well as authors\u2019 manual exploration on the disease web portal.<\/jats:p>","DOI":"10.1177\/0165551519865495","type":"journal-article","created":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T06:44:31Z","timestamp":1563777871000},"page":"677-687","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Knowledge discovery using SPARQL property path: The case of disease data set"],"prefix":"10.1177","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9557-0043","authenticated-orcid":false,"given":"Enayat","family":"Rajabi","sequence":"first","affiliation":[{"name":"Shannon School of Business, Cape Breton University, Sydney, NS, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salvador","family":"Sanchez-Alonso","sequence":"additional","affiliation":[{"name":"University of Alcala, Plaza de San Diego s\/n, 28805 Alcala de Henares, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,7,22]]},"reference":[{"key":"bibr1-0165551519865495","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-014-0365-3"},{"key":"bibr2-0165551519865495","first-page":"17","volume-title":"Proceedings of the fifth international conference on knowledge capture","author":"Lopez V"},{"key":"bibr3-0165551519865495","unstructured":"Rajabi E, Debruyne C, O\u2019Sullivan D. 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