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Focuses on competence assessment, and its development in the context of self‐management. Detailed case histories are included. Concludes that competence assessment will be…
Focuses on competence assessment, and its development in the context of self‐management. Detailed case histories are included. Concludes that competence assessment will be an approach adopted by an increasing number of companies.
The purpose of this paper is to collect and understand the nature of real cases of author name variants that have often appeared in bibliographic digital libraries (DLs…
The purpose of this paper is to collect and understand the nature of real cases of author name variants that have often appeared in bibliographic digital libraries (DLs) as a case study of the name authority control problem in DLs.
To find a sample of name variants across DLs (e.g. DBLP and ACM) and in a single DL (e.g. ACM), the approach is based on two bipartite matching algorithms: Maximum Weighted Bipartite Matching and Maximum Cardinality Bipartite Matching.
First, the authors validated the effectiveness and efficiency of the bipartite matching algorithms. The authors also studied the nature of real cases of author name variants that had been found across DLs (e.g. ACM, CiteSeer and DBLP) and in a single DL.
To the best of the authors knowledge, there is less research effort to understand the nature of author name variants shown in DLs. A thorough analysis can help focus research effort on real problems that arise when the authors perform duplicate detection methods.
The purpose of this paper is to evaluate the effectiveness of the information retrieval component of a daily newspaper publisher’s integrated library system (ILS) in…
The purpose of this paper is to evaluate the effectiveness of the information retrieval component of a daily newspaper publisher’s integrated library system (ILS) in comparison with the open source alternatives and observe the impact of the scale of metadata, generated daily by library administrators, on retrieved result sets.
In Experiment 1, the authors compared the result sets of the information retrieval system (IRS) component of the publisher’s current ILS and the result sets of proposed ones with human-assessed relevance judgment set. In Experiment 2, the authors compared the performance of proposed IRS components with the publisher’s current production IRS, using result sets of current IRS classified as relevant. Both experiments were conducted using standard information retrieval (IR) evaluation methods: precision, recall, precision at k, F-measure, mean average precision and 11-point interpolated average precision.
Results showed that: first, in Experiment 1, the publisher’s current production ILS ranked last of all participating IRSs when compared to a relevance document set classified by the senior library administrator; and second, in Experiment 2, the tested IR components’ request handlers that used only automatically generated metadata performed slightly better than request handlers that used all of the metadata fields. Therefore, regarding the effectiveness of IR, the daily human effort of generating the publisher’s current set of metadata attributes is unjustified.
The experiments’ collections contained Slovene language with large number of variations of the forms of nouns, verbs and adjectives. The results could be different if the experiments’ collections contained languages with different grammatical properties.
The authors have confirmed, using standard IR methods, that the IR component used in the publisher’s current ILS, could be adequately replaced with an open source component. Based on the research, the publisher could incorporate the suggested open source IR components in practice. In the research, the authors have described the methods that can be used by libraries for evaluating the effectiveness of the IR of their ILSs.
The paper provides a framework for the evaluation of an ILS’s IR effectiveness for libraries. Based on the evaluation results, the libraries could replace the IR components if their current information system setup allows it.
The purpose of this paper is to assess the inherent adaptive capacities of multilevel flood management institutions in England that are necessary to espouse the concept of…
The purpose of this paper is to assess the inherent adaptive capacities of multilevel flood management institutions in England that are necessary to espouse the concept of Ecosystem-based Adaptation (EbA).
This paper is based on an extensive assessment of flood management literature including European and English flood management policies, strategies, regulations and reports. First, an assessment protocol was developed from systematic literature search and, second, multilevel flood management policies and organizations were evaluated. A qualitative scoring method was applied at the assessment stage.
The protocol included 18 major assessment criteria under seven EbA principles. Application of the protocol showed that English national flood policies showed comparatively greater adaptive capacities than European- and local-level policies and local organizations. Specialized flood management policies such as Catchment Flood Management Policies at the local level and European Policies such as flood directives are among the lowest-scoring policy institutions. It was also identified that there is an emerging trend of stakeholder participation, catchment-based approach and knowledge-based adaptation planning at the national level which potentially can be the entry points of wider-scale EbA implementation. This paper recommends proactive roles of local executive organizations through improving institutional communication, consideration of catchment-scale planning with clear adaptation goals and valuing local knowledge base.
The research is important to identify the institutional aspects of adaptive capacity that require attention for promoting alternative adaptation measures such as EbA.