Integrating big data with KNIME as an alternative without programming code: an application to the PATSTAT patent database.
Saved in:
| Title: | Integrating big data with KNIME as an alternative without programming code: an application to the PATSTAT patent database. |
|---|---|
| Authors: | Taques, Fernando H.1,2 (AUTHOR) fernando.taques@inv.uam.es, Chasco, Coro1 (AUTHOR), Taques, Flávio H.3 (AUTHOR) |
| Source: | Journal of Geographical Systems. Jan2025, Vol. 27 Issue 1, p31-61. 31p. |
| Subject Terms: | *Patent databases, *Patent offices, *Patent applications, *Big data, *Erythropoietin |
| Abstract: | Accessing massive datasets can be challenging for users unfamiliar with programming codes. Combining Konstanz Information Miner (KNIME) and MySQL tools on standard configuration equipment allows for addressing this issue. This research proposal aims to present a methodology that describes the necessary configuration steps in both tools and the required manipulation in KNIME to transmit the information to the MySQL environment for further processing in a database management system (DBMS). In addition, we propose a procedure so that the use of this point-and-click software in research work can gain in reproducibility and, therefore, in credibility in the scientific community. To achieve this, we will use a big database regarding patent applications as a reference, the PATSTAT Global 2023, provided by the European Patent Office (EPO). As well known, patent data can be a valuable source for understanding innovation dynamics and technological trends, whether for studies on companies, sectors, nations or even regions, at aggregated and disaggregated levels. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 183484286 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Integrating big data with KNIME as an alternative without programming code: an application to the PATSTAT patent database. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Taques%2C+Fernando+H%2E%22">Taques, Fernando H.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> fernando.taques@inv.uam.es</i><br /><searchLink fieldCode="AR" term="%22Chasco%2C+Coro%22">Chasco, Coro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Taques%2C+Flávio+H%2E%22">Taques, Flávio H.</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Geographical+Systems%22">Journal of Geographical Systems</searchLink>. Jan2025, Vol. 27 Issue 1, p31-61. 31p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Patent+databases%22">Patent databases</searchLink><br />*<searchLink fieldCode="DE" term="%22Patent+offices%22">Patent offices</searchLink><br />*<searchLink fieldCode="DE" term="%22Patent+applications%22">Patent applications</searchLink><br />*<searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br />*<searchLink fieldCode="DE" term="%22Erythropoietin%22">Erythropoietin</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Accessing massive datasets can be challenging for users unfamiliar with programming codes. Combining Konstanz Information Miner (KNIME) and MySQL tools on standard configuration equipment allows for addressing this issue. This research proposal aims to present a methodology that describes the necessary configuration steps in both tools and the required manipulation in KNIME to transmit the information to the MySQL environment for further processing in a database management system (DBMS). In addition, we propose a procedure so that the use of this point-and-click software in research work can gain in reproducibility and, therefore, in credibility in the scientific community. To achieve this, we will use a big database regarding patent applications as a reference, the PATSTAT Global 2023, provided by the European Patent Office (EPO). As well known, patent data can be a valuable source for understanding innovation dynamics and technological trends, whether for studies on companies, sectors, nations or even regions, at aggregated and disaggregated levels. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=183484286 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10109-024-00445-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 31 Subjects: – SubjectFull: Patent databases Type: general – SubjectFull: Patent offices Type: general – SubjectFull: Patent applications Type: general – SubjectFull: Big data Type: general – SubjectFull: Erythropoietin Type: general Titles: – TitleFull: Integrating big data with KNIME as an alternative without programming code: an application to the PATSTAT patent database. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Taques, Fernando H. – PersonEntity: Name: NameFull: Chasco, Coro – PersonEntity: Name: NameFull: Taques, Flávio H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 14355930 Numbering: – Type: volume Value: 27 – Type: issue Value: 1 Titles: – TitleFull: Journal of Geographical Systems Type: main |
| ResultId | 1 |
