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information retrieval

Knowledge organization systems and their consequences for information retrieval

Traditionally, research on knowledge organization systems (KOS) and information retrieval discussed the relative advantages or disadvantages of using controlled vocabularies versus free-text or intellectual indexing versus automatic indexing methods for indexing and search. Experiments and case studies variously showed the superiority of either approach without reaching a final conclusion on this seemingly basic question. As full-text indexing has become more possible and now prevalent, the discussion of the relative merits of KOS – not only as substitute but in combination with full-text – was not settled but continued with new challenges. With the advent of the Semantic Web, KOS (now appearing as ontologies) became important tools in new information retrieval applications and were pushed once again to the research forefront. With different disciplines working in the field, the terminology around KOS has become more and more ambiguous up to the point that tracing research in the literature is difficult – ironically something that traditional KOS have always tried to mitigate. This paper summarizes recent discussions of the impact of KOS on information retrieval and attempts to show and unify different research strands from library science research on subject indexing, information retrieval and the Semantic Web. Whereas earlier impact studies on retrieval resulted in clearly measurable outcomes (for example changes in precision / recall), recent use of KOS in Semantic Web applications or other information systems has switched from pure search scenarios to exploration (browse) and contextualization, for which clear (and calculable) evaluation or quality standards and benchmarks do not exist.

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Developing information architectures through records management classification techniques

Context and purpose of the work - This work draws attention to information retrieval philosophies and techniques allied to the records management profession, advocating a wider professional consideration of a functional approach to information management, in this instance in the development of information architectures. Methodology - This paper draws from a hypothesis originally presented by the author (Milne, 2007a) that advocated a viewpoint whereby the application of records management techniques traditionally applied to develop business classification schemes was offered as an additional solution to organising information resources and services (within a university intranet), where earlier approaches notably subject and administrative based arrangements were found to be lacking. The hypothesis was tested via work-based action learning and is presented here as an extended case study. This paper also draws upon evidence submitted to the Joint Information Systems Committee in support of the University of Abertay Dundee's application for consideration of the JISC award for innovation in records and information management (University of Abertay Dundee, 2007). Findings - The original hypothesis has been tested in the workplace. Information retrieval techniques allied to records management (functional classification) were the main influence in the development of pre and post-coordinate information retrieval systems to support a wider information architecture, where the subject approach was found to be lacking. Their use within the workplace has since been extended. Originality/value - The paper advocates the development of information retrieval as a discipline, should include a wider consideration of functional classification, as this alternative to the subject approach is largely ignored in mainstream IR works.

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Biodiversity information retrieval across networked data sets

Globally, biodiversity resources are inevitable digital and stored in wide variety of formats by researchers or stakeholders. In the Malaysian perspective, although awareness of digitizing the biodiversity data has long been stressed, the semantic interoperability of the biodiversity collections is still an issue to be looked into. This is essentially because when data is shared, the copyright crisis occurs hence creating a setback among researchers wanting to promote or share their findings through online presentations. Hence, this has become a hindrance for researchers in this country to share their valuable information and knowledge in this area with their peers locally or even internationally. To solve this, we present an approach to integrate data through wrapping of various datasets stored in relational databases located on networked platforms. The approach, which uses tools such as XML, PHP, ASP and HTML to integrate databases in heterogeneous environment, does not only solve copyright problems by suggesting distributed warehouses and required fields for sharing but also give the data owner the benefit of having their database under their own jurisdiction. The approach presented in this paper is important for scientists as findings in science are useful and should be shared among the scientists for a better living.

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Semantic interoperability in an international comprehensive knowledge organization system (KOS)

In this paper, the functional and relational characteristics and requirements for various types of semantic interoperability in a comprehensive international knowledge organisation system are discussed with regard to an analysis of the underlying retrieval paradigms. Furthermore, this paper analyses the potential benefits and perspectives of the selective transfer of modelling strategies from the field of semantic technologies for the refinement of relational structures of inter-system and inter-concept relations as a requirement for expressive and functional indexing languages supporting advanced types of semantic interoperability.

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