Assessing Semantic Annotation Activities with Formal Concept Analysis
Cigarrán-Recuero, Juan, Gayoso-Cabada, Joaquín, Rodríguez-Artacho, Miguel, Romero-López, María-Dolores, Sarasa-Cabezuelo, Antonio, Sierra, José-Luis
–arXiv.org Artificial Intelligence
Likewise, the current trend is to produce new resources in a digital format (e.g., in the context of social networks), which entails an in-depth paradigm shift in almost all the humanistic, social, scientific and technological fields. In particular, the field of the humanities is one which is going through a significant transformation as a result of these digitalization efforts and the paradigm shift associated with the digital age. Indeed, we are witnessing the emergence of a whole host of disciplines, those of Digital Humanities (Berry 2012), which are closely dependent on the production and proper organization of digital collections. As a result of the undoubted importance of digital collections in modern society, the search for effective and efficient methods to carry out the production, preservation and enhancement of such digital collections has become a key challenge in modern society (Calhoun, 2013). In particular, the annotation of resources with metadata that enables their proper cataloging, search, retrieval and use in different application scenarios is one of the key elements to ensuring the profitability of these collections of digital objects.
arXiv.org Artificial Intelligence
Jan-19-2025
- Country:
- Europe (1.00)
- North America > United States (0.94)
- Genre:
- Instructional Material (1.00)
- Research Report (0.82)
- Industry:
- Education > Educational Setting (0.46)
- Information Technology > Services (0.34)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning (1.00)
- Natural Language > Text Processing (0.93)
- Representation & Reasoning
- Expert Systems (1.00)
- Ontologies (1.00)
- Communications
- Collaboration (0.93)
- Web > Semantic Web (1.00)
- Data Science > Data Mining (0.93)
- Knowledge Management > Knowledge Engineering (0.93)
- Artificial Intelligence
- Information Technology