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Abstract

This proposal presents the methodology of indexing with images suggested by De Brito and Caribé (2015). The imagetic model is used as a compatible mechanism with FRSAD for a global information share and use of subject data, both within the library sector and beyond. The conceptual model of imagetic indexing shows how images are related to topics and 'key-images' are interpreted as nomens to implement the FRSAD model. Indexing with images consists of using images instead of key-words or descriptors, to represent and organize information. Implementing the imaged navigation in OPACs denotes multiple advantages derived from this rethinking the OPAC anew, since we are looking forward to sharing concepts within the subject authority data. Images, carrying linguistic objects, permeate inter-social and cultural concepts. In practice it includes translated metadata, symmetrical multilingual thesaurus, or any traditional indexing tools. iOPAC embodies efforts focused on conceptual levels as expected from librarians. Imaged interfaces are more intuitive since users do not need specific training for information retrieval, offering easier comprehension of indexing codes, larger conceptual portability of descriptors (as images), and a better interoperability between discourse codes and indexing competences affecting positively social and cultural interoperability. The imagetic methodology deploys R&D fields for more suitable interfaces taking into consideration users with specific needs such as deafness and illiteracy. This methodology arouse questions about the paradigms of the primacy of orality in information systems and pave the way to a legitimacy of multiple perspectives in document indexing by suggesting a more universal communication system based on images. Interdisciplinarity in neurosciences, linguistics and information sciences would be desirable competencies for further investigations about he nature of cognitive processes in information organization and classification while developing assistive KOS for individuals with communication problems, such autism and deafness.

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Abstract

Terminology registries (TRs) are a crucial element of the infrastructure required for resource discovery services, digital libraries, Linked Data, and semantic interoperability generally. They can make the content of knowledge organization systems (KOS) available both for human and machine access. The paper describes the attributes and functionality for a TR, based on a review of published literature, existing TRs, and a survey of experts. A domain model based on user tasks is constructed and a set of core metadata elements for use in TRs is proposed. Ideally, the TR should allow searching as well as browsing for a KOS, matching a user's search while also providing information about existing terminology services, accessible to both humans and machines. The issues surrounding metadata for KOS are also discussed, together with the rationale for different aspects and the importance of a core set of KOS metadata for future machine-based access; a possible core set of metadata elements is proposed. This is dealt with in terms of practical experience and in relation to the Dublin Core Application Profile.

Source

Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1901-1916

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Abstract

Metadata related to cultural items such as literature, music and movies is a valuable resource that is currently exploited in many applications and services based on semantic web technologies. A vast amount of such information has been created by memory institutions in the last decades using different standard or ad hoc schemas, and a main challenge is to make this legacy data accessible as reusable semantic data. On one hand, this is a syntactic problem that can be solved by transforming to formats that are compatible with the tools and services used for semantic aware services. On the other hand, this is a semantic problem. Simply transforming from one format to another does not automatically enable semantic interoperability and legacy data often needs to be reinterpreted as well as transformed. The conceptual model in the Functional Requirements for Bibliographic Records, initially developed as a conceptual framework for library standards and systems, is a major step towards a shared semantic model of the products of artistic and intellectual endeavor of mankind. The model is generally accepted as sufficiently generic to serve as a conceptual framework for a broad range of cultural heritage metadata. Unfortunately, the existing large body of legacy data makes a transition to this model difficult. For instance, most bibliographic data is still only available in various MARC-based formats which is hard to render into reusable and meaningful semantic data. Making legacy bibliographic data accessible as semantic data is a complex problem that includes interpreting and transforming the information. In this article, we present our work on transforming and enhancing legacy bibliographic information into a representation where the structure and semantics of the FRBR model is explicit.