Interoperability between classification systems using metadata

The First on-Line conference on Metadata and Semantics Research Conference (MTSR'05): Approaches to advanced information systems, 21-30 November 2005Metadata are structures which catalogue, classify, describe and articulate electronic information. The Subject element of Dublin Core is used for c1assification systems and subject headings. There are five ways of applying semantic interoperability: interoperability between controlled vocabularies in the same language; between controlled vocabularies in different languages and classification systems; between subject headings and c1assification systems; between c1assification systems; and between languages. The relations between diverse types of standards or systems present diverse difficulties. The electronic information container, which is Internet, guarantees the trend to try and achieve the interoperability of content analysis, whether it be between c1assification systems, or subject headings. The organisation of information in a physical format has transferred its organisational forms to the structuring of electronic information. The digital formal transforms the organisational form itself. If, in information the message is the medium, in organisation the structure is the medium.Publicad

International Conference on Dublin Core and Metadata Application 2004

The International Conference on Dublin Core and Metadata Applications took place on October 11-14, 2004 in Shanghai, China. It was the fourth in a series of expanded Dublin Core conferences that included a conference, tutorials and workshops. Prior to the first in this series of conferences held in Tokyo in 2001, eight Dublin Core workshop series had been held in various North American and European countries starting in 1995. These workshops and conferences have provided a forum where researchers and practitioners can exchange new ideas and demonstrate the development of metadata standards and applications from practical aspects

E-Learning and microformats: a learning object harvesting model and a sample application

In order to support interoperability of learning tools and reusability of resources, this paper introduces a framework for harvesting learning objects from web-based content. Therefore, commonly-known web technologies are examined with respect to their suitability for harvesting embedded meta-data. Then, a lightweight application profile and a microformat for learning objects are proposed based on well-known learning object metadata standards. Additionally, we describe a web service which utilizes XSL transformation (GRDDL) to extract learning objects from different web pages, and provide a SQI target as a retrieval facility using a more complex query language called SPARQL. Finally, we outline the applicability of our framework on the basis of a search client employing the new SQI service for searching and retrieving learning objects

A simple architecture for the fine-grained documentation of endangered languages: the LACITO multimedia archive

A paraître dans : Proceedings of Oriental-COCOSDA 2011. Présenté à : 2011 International Conference on Speech Database and Assessments (Oriental COCOSDA 2011), 2011-10-26 -> 2011-10-28, TaiwanInternational audienceThe LACITO multimedia archive provides free access to documents of connected, spontaneous speech, mostly in "rare" or endangered languages, recorded in their cultural context and transcribed in consultation with native speakers. Its goal is to contribute to the documentation and study of a precious human heritage: the world's languages. It has a special strength in languages of Asia and the Pacific. The LACITO archive was built with little personnel and less funding. It has been devised, developed and maintained over two decades by two researchers assisted by one engineer. Its simple architecture is based on current standards: Unicode character coding and XML markup; and Dublin Core/Open Language Archives Community recommendations for metadata. The data can be consulted online with any standard browser. The technical simplicity of the tools developed at LACITO makes them suitable for the creation of similar databases at other institutions. (For instance, tools from this archive were successfully adapted in the creation of the Formosan Languages archive.

Comparing human and automatic thesaurus mapping approaches in the agricultural domain

Knowledge organization systems (KOS), like thesauri and other controlled vocabularies, are used to provide subject access to information systems across the web. Due to the heterogeneity of these systems, mapping between vocabularies becomes crucial for retrieving relevant information. However, mapping thesauri is a laborious task, and thus big efforts are being made to automate the mapping process. This paper examines two mapping approaches involving the agricultural thesaurus AGROVOC, one machine-created and one human created. We are addressing the basic question "What are the pros and cons of human and automatic mapping and how can they complement each other?" By pointing out the difficulties in specific cases or groups of cases and grouping the sample into simple and difficult types of mappings, we show the limitations of current automatic methods and come up with some basic recommendations on what approach to use when.Comment: 10 pages, Int'l Conf. on Dublin Core and Metadata Applications 200

TumorML: Concept and requirements of an in silico cancer modelling markup language

This paper describes the initial groundwork carried out as part of the European Commission funded Transatlantic Tumor Model Repositories project, to develop a new markup language for computational cancer modelling, TumorML. In this paper we describe the motivations for such a language, arguing that current state-of-the-art biomodelling languages are not suited to the cancer modelling domain. We go on to describe the work that needs to be done to develop TumorML, the conceptual design, and a description of what existing markup languages will be used to compose the language specification