Assessing semantic annotation activities with formal concept analysis |
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| Affiliation: | 1. Escuela Técnica Superior de Ingeniería Informática, Universidad Nacional de Educación a Distancia, 28040 Madrid, Spain;2. Facultad de Informática, Universidad Complutense de Madrid, 28040 Madrid, Spain;3. Facultad de Filología, Universidad Complutense de Madrid, 28040 Madrid, Spain;1. Informatics Center — Federal University of Pernambuco (UFPE), Pernambuco, Brazil;2. Federal University of Bahia (UFBA), Bahia, Brazil;1. Instituto para el Desarrollo Tecnológico y la Innovación en Comunicaciones (IDeTIC), Universidad de Las Palmas de Gran Canaria, Despacho D-102, Pabellón B, Ed. de Eletrónica y Comunicaciones, Campus de Tafira, 35017 Las Palmas, Spain;2. Escuela de Biología, Universidad de Costa Rica, Costa Rica;3. Systems Engineering and Automation Department, Universidad del País Vasco/Euskal Herriko Unibertsitatea, Spain;1. Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, D-39106 Magdeburg, Germany;2. Institute for Community Medicine, Ernst-Moritz-Arndt University Greifswald, Walther-Rathenau-Straße 48, D-17475 Greifswald, Germany;3. Institute for Diagnostic Radiology and Neuroradiology, Ernst-Moritz-Arndt University Greifswald, Sauerbruchstraße, D-17487 Greifswald, Germany;1. CIML Lab, Dept. Biophysics, University of Regensbug, Germany;2. Dept. Bioinformatics, University of Applied Science Weihenstephan-Triesdorf, Germany;3. DETI – IEETA, Universidade de Aveiro, Portugal;4. Dept. Architecture and Technology of Computers, Universidad Granada, Spain |
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| Abstract: | This paper describes an approach to assessing semantic annotation activities based on formal concept analysis (FCA). In this approach, annotators use taxonomical ontologies created by domain experts to annotate digital resources. Then, using FCA, domain experts are provided with concept lattices that graphically display how their ontologies were used during the semantic annotation process. In consequence, they can advise annotators on how to better use the ontologies, as well as how to refine these ontologies to better suit the needs of the semantic annotators. To illustrate the approach, we describe its implementation in @note, a Rich Internet Application (RIA) for the collaborative annotation of digitized literary texts, we exemplify its use with a case study, and we provide some evaluation results using the method. |
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| Keywords: | Semantic annotation Formal concept analysis Ontology Annotation tool |
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