A Graph Retrieval Architecture and System for Online Sign Language Dictionary- with an application to Taiwanese Sign Language

Emerging applications for an online sign language dictionary require that retrieval systems retrieve a target vocabulary through visual symbols. However, when people encounter an unknown vocabulary in sign language during communication, they require the online dictionary to retrieve the vocabulary with higher recall-rate and smaller-sized graph through a mobile device. Still, three situations show that the current online dictionary needs an extension. First, previous works lack of retrieving the target graph of a vocabulary through its complete visual symbol-portfolio. Secondly, they often respond a large number of possible images; however, their precisions and recall rates remain very low. Thirdly, previous works of sign language gloves can convert the visual symbols into the graphic features, but only part of the symbols, ignoring the symbols of expression and relative direction. Therefore, the aim of this study is, based on Taiwanese Sign Language, to design a new graph retrieval architecture for sign-language (GRAS), and to implement a new graph retrieval system for sign-language (GRSS) based on this architecture. Finally, we invite users to evaluate GRSS. The experimental results show that GRSS gets convincing performance. And, GRSS adopting RDF technology can improve the performance of GRSS without adopting RDF technology.

Future of information retrieval systems and the role of library and information science experts in their development

Many organizations and businesses are using futurology to keep pace with the ever-increasing changes in the world, as the businesses and organizations need to be updated to achieve organizational and business growth and development. A review of the previous studies has shown that no systematic research has been already conducted on the future of information retrieval systems and the role of library and information science experts in the future of such systems. Therefore, a qualitative study was conducted by reviewing resources, consulting experts, doing interaction analysis, and writing scenarios. The results demonstrated 13 key factors affecting the future of information retrieval systems in the form of two driving forces of social determinism and technological determinism, and four scenarios of Canopus star, Ursa major, Ursa minor, and single star. The results also showed the dominance of technology and social demand and its very important role in the future of information retrieval systems.

Compilation and evaluation of the Spanish SatiCorpus 2021 for satire identification using linguistic features and transformers

Satirical content on social media is hard to distinguish from real news, misinformation, hoaxes or propaganda when there are no clues as to which medium these news were originally written in. It is important, therefore, to provide Information Retrieval systems with mechanisms to identify which results are legitimate and which ones are misleading. Our contribution for satire identification is twofold. On the one hand, we release the Spanish SatiCorpus 2021, a balanced dataset that contains satirical and non-satirical documents. On the other hand, we conduct an extensive evaluation of this dataset with linguistic features and embedding-based features. All feature sets are evaluated separately and combined using different strategies. Our best result is achieved with a combination of the linguistic features and BERT with an accuracy of 97.405%. Besides, we compare our proposal with existing datasets in Spanish regarding satire and irony.

A Scalable Real Time Agent-Based Information Retrieval Engine

In distributed information retrieval systems, information in web should be ranked based on a combination of multiple features. Linear combination of ranks has been the dominant approach due to its simplicity and efficiency. Such a combination scheme in distributed infrastructure requires that ranks in resources or agents are comparable to each other. The main challenge is how to transform the raw rank values of different criteria appropriately to make them comparable before any combination. In this manuscript, we will demonstrate how to rank Web documents based on its resource-provided information stream and how to combine and incorporate several raking schemas in one time. The system was tested on the queries provided by a Text Retrieval Conference (TREC), and our experimental results showed that it is robust and efficient compared with similar platforms that used offline data resources.

Linguistic support of library IPS of the National Library of Ukraine named after Yaroslav the Wise: analysis of scientific and methodological activities of the applied unit

The purpose of the article is to analyze traditional quantitative bibliometric indicators to assess theresults of scientific and methodological activities of the Department of Linguistic Support of InformationSearch Systems of the Yaroslav Mudryi National Library of Ukraine for 2017-2021, present quantitative andqualitative characteristics of this area of research. The methodological basis is centered the representationof scientific and methodological activities of the National Library is bibliometric analysis, which involves thestudy of basic statistical and bibliographic indicators of a particular area of rk with quantitative, qualitativedata, information analysis, and synthesis of semantic features of content and bibliographic data. The scientificnovelty consists in the complex bibliometric analysis of the scientific and methodical activity of the applieddepartment of the National Library and estimation of own potential and definition of prospects of developmentof this direction of activity of division. Conclusions. Solving applied problems of linguistic support of libraryinformation retrieval systems is accompanied by appropriate scientific and methodological activities. Byrepresenting the main object of study in bibliometric research is the dynamics of publishing activity in agiven period, the published works of specialists of the department were grouped by characteristics: authors,thematic sections, types of publications, periodicals, and more. One of the areas of bibliometric research wasthe separation of the total number of publications that are co-authored and created in collaboration withexperts from other institutions. In general, the material presented in the article allows identifying problematicaspects of scientific and methodological activities of the applied department of the library and promisingareas of development in the linguistic support of library information retrieval systems. The use of bibliometricanalysis techniques for certain areas of library work contributes to the improvement of management processesin applied areas of libraries.Keywords: library, information retrieval systems, linguistic support, scientific and methodical activity,bibliometric analysis.

Automated Stacker Cranes: A Two-Step Storage Reallocation Process for Enhanced Service Efficiency

Automated storage and retrieval systems (AS/RS) play a key role in improving the performance of automated manufacturing systems, warehouses, and distribution centers. In the modern manufacturing industry, the term (AS/RS) refers to various methods under computer control for storing and retrieving loads automatically from defined storage locations. Using an (AS/RS) is not considered a value-added activity. Therefore, the longer (AS/RS) travels, the more expensive the warehousing process becomes. This paper presents an algorithm for minimizing total travel distance/time between input/output (I/O) stations. The proposed algorithm is used to manage the storage and retrieval orders on warehouse shelves in class-based storage on the storage racks. It contains two steps: the first step is to evacuate some storage compartments (locations) near the I/O station; in the second step, some tote bins are reallocated to compartments closer to the I/O station. Among the features of this algorithm are mechanisms that determine the number of reallocated tote bins, which tote bins to reallocate, and in which direction (toward the I/O station or away from it). A simulation model using R software developed specifically for this purpose was used to validate the suggested method. Based on the results, the new method can reduce the service time per order by about 10% to 20%, depending on parameters like the number of orders and the height of the storage rack.

Transliteration: A Magnetic Analysis

Machine transliteration is an important problem in an increasingly multilingual world as it plays a critical role in many downstream applications such as machine translation or cross-lingual information retrieval systems. There is now a vast amount of information accessible via the Internet where a lot of regional and cultural information is put on the World Wide Web in different languages and scripts. There are more that six thousand living languages in the world. Adding to the diversity is the fact that some languages are written in different scripts in different regions of the world. The multitude of foreign languages and mutually incomprehensible scripts of the same language pose a barrier to information exchange as we cannot all learn every language or script in use worldwide. Therefore, if we can get around the language barrier or at least the script barrier, we can access much more of the world's culture and can explore its abundant richness. Keywords: Transliteration, Translation. Cross-lingual, Multilingual, Language, Script