Abstract The use of semantic web technologies is very limited in Arab libraries, even with the existence of important historical and literary documents, and the great digitization movement now, the documents are still trapped within the databases of the separated libraries and are not visible to search engines. The research aims to Study the applications of semantic web technologies in catalogs... The use of semantic web technologies is very limited in Arab libraries, even with the existence of important historical and literary documents, and the great digitization movement now, the documents are still trapped within the databases of the separated libraries and are not visible to search engines. The research aims to Study the applications of semantic web technologies in catalogs of digital, hybrid libraries and catalogs of public libraries, exploring the main ontologies and conceptual Data models used in the field, and the possibilities of reusing them with Arab libraries, or the need to build new ontologies, studying the necessary steps, tools, and best practices, define the difficulties and challenges facing the Arabic semantic library and searching for possible technical solutions, our experiments target the heterogeneous databases of small, medium or large libraries, considering that some Arabic library catalogs are not following a standard Data Model, to contribute to the research and development of integrating bibliographic data of Arab libraries and moving towards the Semantic web and Linked Open Data. Read More Read Less

Abstract The field of Automatic Speaker Recognition (ASR) is an important and open field for researchers and scientists, especially as it has become essential in facilitating the work we do in our daily lives. Such as digital authentication and electronic transactions, and consider It as a secure environment to authenticate users' access to their accounts. Many technologies have been developed in... The field of Automatic Speaker Recognition (ASR) is an important and open field for researchers and scientists, especially as it has become essential in facilitating the work we do in our daily lives. Such as digital authentication and electronic transactions, and consider It as a secure environment to authenticate users' access to their accounts. Many technologies have been developed in the field of recognition but so far, there is no complete tool or method for speaker identification, the most important step in ASR is the extraction of voice features. Many methods and tools can be used to extract the speaker's vocal characteristics (voice features), which in turn will identify the user and recognize his voice spectrum through the phonetic linguistic message. In this paper, two methods will be studied, each using a different technique MFCC, which uses a logarithmic scale, and LPC, which uses a linear scale. The method used in ASR should have minimal error because it is an important authentication technology like a fingerprint, where two different people cannot have the same voice spectral range (voiceprint). Read More Read Less

Abstract ChatGPT, in recent months, has made a significant impact and exposure in the information world. Many studies have been conducted within a shorter timeframe about its efficiency, reliability, ethics, accuracy and acceptance. Besides, hundreds of opinions and perception-based analyses have also emerged. In this work, we look at the ChatGPT as a question-answering tool. We have used randomly generated prompts... ChatGPT, in recent months, has made a significant impact and exposure in the information world. Many studies have been conducted within a shorter timeframe about its efficiency, reliability, ethics, accuracy and acceptance. Besides, hundreds of opinions and perception-based analyses have also emerged. In this work, we look at the ChatGPT as a question-answering tool. We have used randomly generated prompts to solicit answers and analysed the results from a text analysis angle. The answers are compared with text analysers both manually and statistically. ChatGPT still needs more precision for linguistic effects and fails to meet comprehensive users requirements. Read More Read Less