A framework for the automated thematic annotation of Open Government Data.
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| Title: | A framework for the automated thematic annotation of Open Government Data. |
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| Authors: | Abdul, Aziz1, abdul.aziz@unizar.es, Mohsan, Ali2, mohsan@aegean.gr, Dagoberto José, Herrera-Murillo1, dherrera@unizar.es, Maria Ioanna, Maratsi2, ioanna.m@aegean.gr, Francisco J., Lopez-Pellicer1, fjlopez@unizar.es, Javier, Nogueras-Iso1, jnog@unizar.es |
| Source: | Computer Science & Information Systems; Apr2026, Vol. 23 Issue 2, p917-945, 29p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193328677 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A framework for the automated thematic annotation of Open Government Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Abdul%2C+Aziz%22">Abdul, Aziz</searchLink><relatesTo>1</relatesTo>, <i>abdul.aziz@unizar.es</i><br /><searchLink fieldCode="AU" term="%22Mohsan%2C+Ali%22">Mohsan, Ali</searchLink><relatesTo>2</relatesTo>, <i>mohsan@aegean.gr</i><br /><searchLink fieldCode="AU" term="%22Dagoberto+José%2C+Herrera-Murillo%22">Dagoberto José, Herrera-Murillo</searchLink><relatesTo>1</relatesTo>, <i>dherrera@unizar.es</i><br /><searchLink fieldCode="AU" term="%22Maria+Ioanna%2C+Maratsi%22">Maria Ioanna, Maratsi</searchLink><relatesTo>2</relatesTo>, <i>ioanna.m@aegean.gr</i><br /><searchLink fieldCode="AU" term="%22Francisco+J%2E%2C+Lopez-Pellicer%22">Francisco J., Lopez-Pellicer</searchLink><relatesTo>1</relatesTo>, <i>fjlopez@unizar.es</i><br /><searchLink fieldCode="AU" term="%22Javier%2C+Nogueras-Iso%22">Javier, Nogueras-Iso</searchLink><relatesTo>1</relatesTo>, <i>jnog@unizar.es</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Science+%26+Information+Systems%22">Computer Science & Information Systems</searchLink>; Apr2026, Vol. 23 Issue 2, p917-945, 29p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193328677 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2298/CSIS251029022A Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 917 Titles: – TitleFull: A framework for the automated thematic annotation of Open Government Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abdul, Aziz – PersonEntity: Name: NameFull: Mohsan, Ali – PersonEntity: Name: NameFull: Dagoberto José, Herrera-Murillo – PersonEntity: Name: NameFull: Maria Ioanna, Maratsi – PersonEntity: Name: NameFull: Francisco J., Lopez-Pellicer – PersonEntity: Name: NameFull: Javier, Nogueras-Iso IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18200214 Numbering: – Type: volume Value: 23 – Type: issue Value: 2 Titles: – TitleFull: Computer Science & Information Systems Type: main |
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