Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL
Linked Open Data (LOD) refers to freely available data on the World Wide Web that are typically represented using the Resource Description Framework (RDF) and standards built on it. LOD is an invaluable resource of information due to its richness and openness, which create new opportunities for many...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/11/7/361 |
| _version_ | 1827713270014803968 |
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| author | Raji Ghawi Jürgen Pfeffer |
| author_facet | Raji Ghawi Jürgen Pfeffer |
| author_sort | Raji Ghawi |
| collection | DOAJ |
| description | Linked Open Data (LOD) refers to freely available data on the World Wide Web that are typically represented using the Resource Description Framework (RDF) and standards built on it. LOD is an invaluable resource of information due to its richness and openness, which create new opportunities for many areas of application. In this paper, we address the exploitation of LOD by utilizing SPARQL queries in order to extract social networks among entities. This enables the application of de-facto techniques from Social Network Analysis (SNA) to study social relations and interactions among entities, providing deep insights into their latent social structure. |
| first_indexed | 2024-03-10T18:31:34Z |
| format | Article |
| id | doaj.art-739f7f3a07434fac820d3affe1ab321f |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T18:31:34Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-739f7f3a07434fac820d3affe1ab321f2023-11-20T06:34:50ZengMDPI AGInformation2078-24892020-07-0111736110.3390/info11070361Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQLRaji Ghawi0Jürgen Pfeffer1Bavarian School of Public Policy, Technical University of Munich, 80333 Munich, GermanyBavarian School of Public Policy, Technical University of Munich, 80333 Munich, GermanyLinked Open Data (LOD) refers to freely available data on the World Wide Web that are typically represented using the Resource Description Framework (RDF) and standards built on it. LOD is an invaluable resource of information due to its richness and openness, which create new opportunities for many areas of application. In this paper, we address the exploitation of LOD by utilizing SPARQL queries in order to extract social networks among entities. This enables the application of de-facto techniques from Social Network Analysis (SNA) to study social relations and interactions among entities, providing deep insights into their latent social structure.https://www.mdpi.com/2078-2489/11/7/361linked open datasocial networksRDFSPARQL algebraextraction patterns |
| spellingShingle | Raji Ghawi Jürgen Pfeffer Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL Information linked open data social networks RDF SPARQL algebra extraction patterns |
| title | Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL |
| title_full | Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL |
| title_fullStr | Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL |
| title_full_unstemmed | Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL |
| title_short | Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL |
| title_sort | extraction patterns to derive social networks from linked open data using sparql |
| topic | linked open data social networks RDF SPARQL algebra extraction patterns |
| url | https://www.mdpi.com/2078-2489/11/7/361 |
| work_keys_str_mv | AT rajighawi extractionpatternstoderivesocialnetworksfromlinkedopendatausingsparql AT jurgenpfeffer extractionpatternstoderivesocialnetworksfromlinkedopendatausingsparql |