Assessing semantic annotation activities with formal concept analysis

被引:10
|
作者
Cigarran-Recuero, Juan [1 ]
Gayoso-Cabada, Joaquin [2 ]
Rodriguez-Artacho, Miguel [1 ]
Romero-Lopez, Maria-Dolores [3 ]
Sarasa-Cabezuelo, Antonio [2 ]
Sierra, Jose-Luis [2 ]
机构
[1] Univ Nacl Educ Distancia, Escuela Tecn Super Ingn Informat, E-28040 Madrid, Spain
[2] Univ Complutense Madrid, Fac Informat, E-28040 Madrid, Spain
[3] Univ Complutense Madrid, Fac Filol, E-28040 Madrid, Spain
关键词
Semantic annotation; Formal concept analysis; Ontology; Annotation tool; AUTOMATIC SELECTION; VIDEO ANNOTATION; ONTOLOGY; ACQUISITION; WEB; HIERARCHIES; IMAGE;
D O I
10.1016/j.eswa.2014.02.036
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (c) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5495 / 5508
页数:14
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