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Abstract

This paper is based on the project work carries out by the authors at DRTC. Knowledge representation models are used in building intelligent systems for problem solving. The paper discusses, a frame based knowledge representation model built for automatic indexing. The system assigns POPSI indicators and produces subject strings for titles. The results are given in appendices

Source

Knowledge organization. 22(1995) nos.3/4, S.162-167

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Abstract

An automatic indexing system using the tools and techniques of artificial intelligence is described. The paper presents the various components of the system like the parser, grammar formalism, lexicon, and the frame based knowledge representation for semantic representation. The semantic representation is based on the Ranganathan school of thought, especially that of Deep Structure of Subject Indexing Languages enunciated by Bhattacharyya. It is attempted to demonstrate the various stepts in indexing by providing an illustration

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Abstract

This poster explores the customization of DSpace to allow the use of the AGRIS Application Profile metadata standard and the AGROVOC thesaurus. The objective is the adaptation of DSpace, through the least invasive code changes either in the form of plug-ins or add-ons, to the specific needs of the Agricultural Sciences and Technology community. Metadata standards such as AGRIS AP, and Knowledge Organization Systems such as the AGROVOC thesaurus, provide mechanisms for sharing information in a standardized manner by recommending the use of common semantics and interoperable syntax (Subirats et al., 2007). AGRIS AP was created to enhance the description, exchange and subsequent retrieval of agricultural Document-like Information Objects (DLIOs). It is a metadata schema which draws from Metadata standards such as Dublin Core (DC), the Australian Government Locator Service Metadata (AGLS) and the Agricultural Metadata Element Set (AgMES) namespaces. It allows sharing of information across dispersed bibliographic systems (FAO, 2005). AGROVOC68 is a multilingual structured thesaurus covering agricultural and related domains. Its main role is to standardize the indexing process in order to make searching simpler and more efficient. AGROVOC is developed by FAO (Lauser et al., 2006). The customization of the DSpace is taking place in several phases. First, the AGRIS AP metadata schema was mapped onto the metadata DSpace model, with several enhancements implemented to support AGRIS AP elements. Next, AGROVOC will be integrated as a controlled vocabulary accessed through a local SKOS or OWL file. Eventually the system will be configurable to access AGROVOC through local files or remotely via webservices. Finally, spell checking and tooltips will be incorporated in the user interface to support metadata editing. Adapting DSpace to support AGRIS AP and annotation using the semantically-rich AGROVOC thesaurus transform DSpace into a powerful, domain-specific system for annotation and exchange of bibliographic metadata in the agricultural domain.

Source

Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas

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Abstract

Knowledge space is diverse and thus extremely complex. With increased means for online publishing and communication world communities are actively contributing content. This augments the need to find and access resources in different contexts and for different purposes. Owing to different socio-cultural backgrounds, purposes and applications, knowledge generated by people is marked by diversity. Hence, knowledge representation for building diversity-aware tools presents interesting research challenges. In this paper, we provide an analytico-synthetic approach for dealing with topical diversity following a faceted subject indexing method. Illustrations are used to demonstrate facet analysis and synthesis for use in annotations for Media Content Analysis within the European Commission (EC) funded 'Living Knowledge' project.