The principles of extended metadata formation in RNPLS&amp;T’s Single Open Information Archive

Goncharov, M. V.; Kolosov, K. A.

doi:10.33186/1027-3689-2023-11-84-98

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…In terms of specific natural disaster types, research on metadata standards for earthquakes [11,12], landslides [13], and floods [14] has made some progress. In addition, in the field of relevant information, the development of standards such as the Dublin Core Metadata Standard and ISO 19115 [15] promotes data sharing and communication [16]. At present, the research on the comprehensive metadata standards of natural disasters is still in the stage of continuous development and improvement.…”

Section: Introductionmentioning

confidence: 99%

Automatic Extraction and Cluster Analysis of Natural Disaster Metadata Based on the Unified Metadata Framework

Wang,

Shi,

Yang

et al. 2024

IJGI

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The development of information technology has led to massive, multidimensional, and heterogeneously sourced disaster data. However, there’s currently no universal metadata standard for managing natural disasters. Common pre-training models for information extraction requiring extensive training data show somewhat limited effectiveness, with limited annotated resources. This study establishes a unified natural disaster metadata standard, utilizes self-trained universal information extraction (UIE) models and Python libraries to extract metadata stored in both structured and unstructured forms, and analyzes the results using the Word2vec-Kmeans cluster algorithm. The results show that (1) the self-trained UIE model, with a learning rate of 3 × 10−4 and a batch_size of 32, significantly improves extraction results for various natural disasters by over 50%. Our optimized UIE model outperforms many other extraction methods in terms of precision, recall, and F1 scores. (2) The quality assessments of consistency, completeness, and accuracy for ten tables all exceed 0.80, with variances between the three dimensions being 0.04, 0.03, and 0.05. The overall evaluation of data items of tables also exceeds 0.80, consistent with the results at the table level. The metadata model framework constructed in this study demonstrates high-quality stability. (3) Taking the flood dataset as an example, clustering reveals five main themes with high similarity within clusters, and the differences between clusters are deemed significant relative to the differences within clusters at a significance level of 0.01. Overall, this experiment supports effective sharing of disaster data resources and enhances natural disaster emergency response efficiency.

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Section: Introductionmentioning

confidence: 99%

Automatic Extraction and Cluster Analysis of Natural Disaster Metadata Based on the Unified Metadata Framework

Wang,

Shi,

Yang

et al. 2024

IJGI

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Generating linked data in the model of RNPLS&T Single Open Information Archive (SOIA) using GEMET multilingual thesaurus

Goncharov,

Kolosov

2024

Naučnye i tehničeskie biblioteki

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The practical use of linked data in library projects implies their representation in the RDF format for further use and processing in information systems, and, on the other hand, enrichment of information delivered to the search portal users. In this study, the authors examine the aspects of information enrichment for search outcome. They used GEMET multilingual thesaurus as the basic data set for linking. The RNPLS&T Single Open Information Archive (SOIA) portal has been built based on advanced technologies and trends in using linked data. These trends are also reviewed. Despite plenty of data sets available via the Linked Open Data Cloud, the library projects embracing the linked data technology use just few overlapping data sets.To build the links between UDC codes and subject headings with GEMET concepts, the authors analyzed the entries in the e-catalogs of SOIA and “Ecology: Science and Technology” database. The analysis results demonstrate that approximately 20% entries comprise subject headings and UDC codes that might be linked to GEMET thesaurus concepts.The links between GEMET concepts and Internet-based DBpedia are seen as the most promising option. The authors suggest to supplement these links with the references to Ruwiki (Russian online encyclopedia). These additional links were established for UDC upper levels in the operational database and will be further created for every GEMET active concept.

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Formulating standard requirements for search web-based interfaces of e-catalogs

Zaitseva

2024

Naučnye i tehničeskie biblioteki

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Within the framework of R&D project “Information support of research by scientists and specialists on the basis of RNPLST Open Archive as the system of scientific knowledge aggregation”, the RNPLS&T carries on the analysis of general characteristics and features of and defining standard requirements for the LIS search interfaces. The author attempts to develop the array of the requirements for modern web-based interfaces of e-catalogs, to classify and formulate them more specifically, and to substantiate these requirements. She proposes the following classification of the requirements: general requirements, requirements for search functionality structure, requirement for content enrichment, requirement for the system of search user support, requirements for applying recommendation system and existence of auxiliary user support. The author also suggests the ways to improve search interfaces of e-catalogs, in particular, to unify and differentiate search instruments, to obtain additional search options, to implement different types of user support more intensively, and to create effective multifunctional recommender systems. The proposed recommendations may be used for search interfaces of library information systems.

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The principles of extended metadata formation in RNPLS&T’s Single Open Information Archive

Cited by 3 publications

References 3 publications

Automatic Extraction and Cluster Analysis of Natural Disaster Metadata Based on the Unified Metadata Framework

Automatic Extraction and Cluster Analysis of Natural Disaster Metadata Based on the Unified Metadata Framework

Generating linked data in the model of RNPLS&T Single Open Information Archive (SOIA) using GEMET multilingual thesaurus

Formulating standard requirements for search web-based interfaces of e-catalogs

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