Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing Domain
Social media sites have become platforms for conversation and channels to share experiences and opinions, promoting public discourse. In particular, their use has increased in political topics, such as citizen participation, proselytism, or political discussions. Political marketing involves collect...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/16/8116 |
| _version_ | 1827618206203772928 |
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| author | Héctor Hiram Guedea-Noriega Francisco García-Sánchez |
| author_facet | Héctor Hiram Guedea-Noriega Francisco García-Sánchez |
| author_sort | Héctor Hiram Guedea-Noriega |
| collection | DOAJ |
| description | Social media sites have become platforms for conversation and channels to share experiences and opinions, promoting public discourse. In particular, their use has increased in political topics, such as citizen participation, proselytism, or political discussions. Political marketing involves collecting, monitoring, processing, and analyzing large amounts of voters’ data. However, the extraction, integration, processing, and storage of these torrents of relevant data in the political domain is a very challenging endeavor. In the recent years, the semantic technologies as ontologies and knowledge graphs (KGs) have proven effective in supporting knowledge extraction and management, providing solutions in heterogeneous data sources integration and the complexity of finding meaningful relationships. This work focuses on providing an automated solution for the population of a political marketing-related KG from Spanish texts through Natural Language Processing (NLP) techniques. The aim of the proposed framework is to gather significant data from semi-structured and unstructured digital media sources to feed a KG previously defined sustained by an ontological model in the political marketing domain. Twitter and political news sites were used to test the usefulness of the automatic KG population approach. The resulting KG was evaluated through 18 quality requirements, which ensure the optimal integration of political knowledge. |
| first_indexed | 2024-03-09T10:02:23Z |
| format | Article |
| id | doaj.art-566773fdcc3b456d935da465b5480c35 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T10:02:23Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-566773fdcc3b456d935da465b5480c352023-12-01T23:21:17ZengMDPI AGApplied Sciences2076-34172022-08-011216811610.3390/app12168116Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing DomainHéctor Hiram Guedea-Noriega0Francisco García-Sánchez1Escuela Internacional de Doctorado, University of Murcia, 30100 Murcia, SpainDepartamento de Informática y Sistemas, Faculty of Computer Science, University of Murcia, 30100 Murcia, SpainSocial media sites have become platforms for conversation and channels to share experiences and opinions, promoting public discourse. In particular, their use has increased in political topics, such as citizen participation, proselytism, or political discussions. Political marketing involves collecting, monitoring, processing, and analyzing large amounts of voters’ data. However, the extraction, integration, processing, and storage of these torrents of relevant data in the political domain is a very challenging endeavor. In the recent years, the semantic technologies as ontologies and knowledge graphs (KGs) have proven effective in supporting knowledge extraction and management, providing solutions in heterogeneous data sources integration and the complexity of finding meaningful relationships. This work focuses on providing an automated solution for the population of a political marketing-related KG from Spanish texts through Natural Language Processing (NLP) techniques. The aim of the proposed framework is to gather significant data from semi-structured and unstructured digital media sources to feed a KG previously defined sustained by an ontological model in the political marketing domain. Twitter and political news sites were used to test the usefulness of the automatic KG population approach. The resulting KG was evaluated through 18 quality requirements, which ensure the optimal integration of political knowledge.https://www.mdpi.com/2076-3417/12/16/8116political marketingknowledge graphsocial big dataknowledge graph populationpolitical marketing ontologynatural language processing |
| spellingShingle | Héctor Hiram Guedea-Noriega Francisco García-Sánchez Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing Domain Applied Sciences political marketing knowledge graph social big data knowledge graph population political marketing ontology natural language processing |
| title | Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing Domain |
| title_full | Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing Domain |
| title_fullStr | Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing Domain |
| title_full_unstemmed | Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing Domain |
| title_short | Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing Domain |
| title_sort | integroly automatic knowledge graph population from social big data in the political marketing domain |
| topic | political marketing knowledge graph social big data knowledge graph population political marketing ontology natural language processing |
| url | https://www.mdpi.com/2076-3417/12/16/8116 |
| work_keys_str_mv | AT hectorhiramguedeanoriega integrolyautomaticknowledgegraphpopulationfromsocialbigdatainthepoliticalmarketingdomain AT franciscogarciasanchez integrolyautomaticknowledgegraphpopulationfromsocialbigdatainthepoliticalmarketingdomain |