Title of article :
Assessing semantic annotation activities with formal concept analysis
Author/Authors :
Cigarrلn-Recuero، نويسنده , , Juan and Gayoso-Cabada، نويسنده , , Joaquيn and Rodrيguez-Artacho، نويسنده , , Miguel and Romero-Lَpez، نويسنده , , Marيa-Dolores and Sarasa-Cabezuelo، نويسنده , , Juan Antonio Méndez Sierra، نويسنده , , José-Luis، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
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.
Keywords :
Semantic annotation , Formal Concept Analysis , Ontology , Annotation tool
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications