With the vast amount of information in various formats that is produced today it becomes necessary for consumers ofthis information to be able to judge if it is relevant for them. One way to enable that is to provide information abouteach piece of information, i.e. provide metadata. When metadata is to be edited by a human being, a metadata editorneeds to be provided. This thesis describes the design and practical use of a configuration mechanism for metadataeditors called annotation profiles, that is intended to enable a flexible metadata editing environment. An annotationprofile is an instance of an Annotation Profile Model (APM), which is an information model that can gatherinformation from many sources. This model has been developed by the author together with colleagues at the RoyalInstitute of Technology and Uppsala University in Sweden. It is designed so that an annotation profile can holdenough information for an application to generate a customized metadata editor from it. The APM works withmetadata expressed in a format called RDF (Resource Description Framwork), which forms the technical basis for theSemantic Web. It also works with metadata that is expressed using a model similar to RDF. The RDF model providesa simple way of combining metadata standards and this makes it possible for the resulting metadata editor to combinedifferent metadata standards into one metadata description. Resources that are meant to be used in a learning situationcan be of various media types (audio- or video-files, documents, etc.), which gives rise to a situation where differentmetadata standards have to be used in combination. Such a resource would typically contain educational metadatafrom one standard, but for each media type a different metadata standard might be used for the technical description.To combine all the metadata into a single metadata record is desirable and made possible when using RDF. The focusin this thesis is on metadata for resources that can be used in such learning contexts.One of the major advantages of using annotation profiles is that they enable change of metadata editor without havingto modify the code of an application. In contrast, the annotation profile is updated to fit the required changes. In thisway, the programmer of an application can avoid the responsibility of deciding which metadata that can be edited aswell as the structure of it. Instead, such decisions can be left to the metadata specialist that creates the annotationprofiles to be used.The Annotation Profile Model can be divided into two models, the Graph Pattern Model that holds information onwhat parts of the metadata that can be edited, and the Form Template Model that provides information about how thedifferent parts of the metadata editor should be structured. An instance of the Graph Pattern Model is called a graphpattern, and it defines which parts of the metadata that the annotation profile will be editable. The author hasdeveloped an approach to how this information can be used when the RDF metadata to edit is stored on a remotesystem, e.g. a system that can only be accessed over a network. In such cases the graph pattern cannot be useddirectly, even though it defines the structures that can be affected in the editing process. The method developeddescribes how the specific parts of metadata are extracted for editing and updating when the metadata author hasfinished editing.A situation where annotation profiles have proven valuable is presented in chapter 6. Here the author have taken partin developing a portfolio system for learning resources in the area of blood diseases, hematology. A set of annotationprofiles was developed in order to adapt the portfolio system for this particular community. The annotation profilesmade use of an existing curriculum for hematology that provides a competence profile of this field. The annotationprofile makes use this curriculum in two ways:1. As a part of the personal profile for each user, i.e. metadata about a person. Through the editor, created from anannotation profile, the user can express his/her skill/knowledge/competence in the field of hematology.2. The metadata can associate a learning resource can with certain parts of the competence description, thusexpressing that the learning resource deals with a specific part of the competence profile. This provides a mechanismfor matching learning need with available learning resources.As the field of hematology is evolving, the competence profile will need to be updated. Because of the use ofannotation profiles, the metadata editors in question can be updated simply by changing the corresponding annotationprofiles. This is an example of the benefits of annotation profiles within an installed application. Annotation Profilescan also be used for applications that aim to support different metadata expressions, since the set of metadata editorscan be easily changed.The system of portfolios mentioned above provides this flexibility in metadata expression, and it has successfullybeen configured to work with resources from other domain areas, notably organic farming, by using another set ofannotation profiles. Hence, to use annotation profiles has proven useful in these settings due to the flexibility that theAnnotation Profile Model enables. Plans for the future include developing an editor for annotation profiles in order toprovide a simple way to create such profiles. / QC 20110426

Submitted by Mariana Dornelles Vargas (marianadv) on 2015-05-25T12:29:15Z No. of bitstreams: 1 AutoEduMat.pdf: 1060362 bytes, checksum: 25b8156de4b9c2c2c5b9dc0f69aea011 (MD5) / Made available in DSpace on 2015-05-25T12:29:15Z (GMT). No. of bitstreams: 1 AutoEduMat.pdf: 1060362 bytes, checksum: 25b8156de4b9c2c2c5b9dc0f69aea011 (MD5) Previous issue date: 2010 / Nenhuma / Esta dissertação apresenta uma pesquisa relacionada as ferramentas que dão suporte a utilização de objetos de aprendizagem em plataformas digitais. Mais especificamente, a pesquisa se direciona para as ferramentas de apoio a autoria destes objetos, em particular dos seus metadados. Inicialmente é apresentada a contextualização do problema de pesquisa, sua fundamentação teórica e os trabalhos relacionados ao tema. Em seguida são apresentadas as principais características do sistema proposto, o AutoEduMat - Ferramenta de Apoio a Autoria de Metadados de Objetos de Aprendizagem para o Domínio de Ensino de Matemática. A ferramenta AutoEduMat dá apoio a autoria de objetos de aprendizagem, oferecendo assistência ao projetista (designer) de objetos na criação e edição de metadados destes objetos. A principal inovação do trabalho é a combinação das tecnologias de Engenharia de Software de Agentes e de Engenharia de Ontologias para construir um sistema multiagente que oferece suporte inteligente para a geração dos metadados dos objetos de aprendizagem, sendo capaz de interagir com o usuário com termos de seu próprio contexto profissional e educacional. No trabalho é proposta a ontologia Onto-EduMat que incorpora os conhecimentos sobre o domínio de ensino de matemática, incluindo aspectos pedagógicos, necessários para o auxílio a geração dos metadados. Tanto a ferramenta quanto seu modelo ontológico são validados através de experimentos descritos no final do trabalho. / This dissertation presents a research related to the tools that support the utilization of learning objects in digital platforms. More precisely, the research is directed to the tools that support the authoring process of these objects, in particular of their metadata. Initially are presented the characterization of the problem, its theoretical foundations and related works. Then are presented the main characteristics of the proposed system, the AutoEduMat - Metadata Authoring Tool for Mathematics Learning Objects. The AutoEduMat system will provide assistance to the object designer in the metadata creation and edition of these objects. The main innovation of this work is the combination of Agent Oriented Software Engineering and Ontology Engineering technologies to built a multiagent system able to offer intelligent support for metadata creation, interacting with users using terms related to their professional and educational context. This work proposes the Onto-EduMat ontology, which incorporates the mathematical and pedagogical knowledge necessary to generate the metadata. The authoring tool and its ontological model are validated through experiments described in the end of the work.