Enabling a fast annotation process with the Table2Annotation tool by Pierre Larmande, Kazim Muhammed Jibril

“…Semantic annotation helps in boosting the ability to search and access resources and can be used in information retrieval systems to augment the queries from the user. …”
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TEI, Ontologies, Linked Open Data: Geolat and Beyond by Fabio Ciotti, Maurizio Lana, Francesca Tomasi

“…These annotations are linked to a set of ontologies that give them formal semantics, and can finally be exposed the as linked open data, in order to improve the documents’ interoperability with other existing LOD and to enhance information retrieval possibilities. The paper is organized as follows: first we introduce the project in order to explain the steps needed to complete it (section 2); then we describe the ontological modeling and the TEI encoding in Geolat, by focusing on both places and persons (section 3). …”
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An Adaptive Subspace Similarity Search Approach by Jianxin Ren, Huahui Chen

“…In recent years，such database fields as multimedia information retrieval，similarity join and time series matching，where similarity search has attracted much attention.Existing researches mostly compute nearest neighbor to solve problems about search target set，such as kNN and kNNJ，by metric distance functions in the Euclidean space.But some studies showed that high dissimilarity dimensions had got great effect on the accuracy of answer and flexibility and robustness still were lacked in corresponding solutions.Thus centralized dynamic subspace or partial dimensions similarity search problem and algorithms were proposed at first.Furthermore，with the emerge of very large dataset，centralized algorithms can，t extend very well.Finally，the distributed ones under hadoop framework were proposed.Experiments prove that distributed algorithms outperform centralized ones in the performance without accuracy loss.…”
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Visualization and co-occurrence of journals in the area of information science in vis-a-vis the Qualis/Capes system in Brazil by Adilson Luiz Pinto, Alexandre Semeler-Ribas, Audilio Gonzales-Aguilar, Carole Clauzel

“…The results highlight the importance of JASIST, Information Processing & Management, College Research Library, Journal of Documentation, ARIST, Journal Information Sciences, Information Retrieval and Library Trends, both in the matter of world representativeness and in the number of citations.…”
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A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences by Ming Che Lee, Jia Wei Chang, Tung Cheng Hsieh

“…Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. …”
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Wikipédia à tous les étages. Usages de l’encyclopédie pour l’enseignement en géographie by Hadrien Commenges

“…Despite these recommendations, students massively use Wikipedia for information retrieval, while considering, after their teachers, that it is an illegitimate source of information. …”
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MEL-IRIS: An Online Tool for Audio Analysis and Music Indexing by Dimitrios Margounakis, Dionysios Politis, Konstantinos Mokos

“…Especially in Music Information Retrieval (MIR), the visualization of the chromatic analysis can be used for comparison, pattern recognition, melodic sequence prediction, and color-based searching. …”
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ChatGPT, Python, and Microsoft Excel by Kaique Sbampato, Humberto Arruda, Édison Renato Silva

“…Practical applications demonstrate improvements in information retrieval, data management, and research support. …”
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Blog screening and mining based on temporal features and hybrid search in big data by Lina ZHANG, Tai KUANG, Diqing JIANG

“…Concerning that the correlation degree of the existing methods of blog screen and mining is loose and the information retrieval of the methods is deficient,a method based on temporal feature and hybrid search method was proposed.Considering the user reviews are important sources of evidence combination,the average number of reviews for blogs,the sources of BM25 relevance scores,the longest blog BM25 scores and time range between the latest related blog paper and the oldest related blog paper are being as the temporal feature sets.In addition,considering local search advantage of linear search(LS) and global search advantage of differential evolution(DE),the two kinds of information search methods were combined.BlogS06 data set was used in the experiment which was consists of blog home pages,XML source files and its blog portal pages,it was used for TREC 2007 and TREC 2008 blog mining experiments.Experimental results show that the proposed method can obtain satisfactory results in terms of running time and effectiveness.…”
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CaRo 2.0: An Interactive System for Expressive Music Rendering by Sergio Canazza, Giovanni De Poli, Antonio Rodà

“…Understanding and modeling expressive content communication is important for many engineering applications in information technology (e.g., Music Information Retrieval, as well as several applications in the affective computing field). …”
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Research on LBS privacy preservation based on pseudorandom permutation in road network by Chang-li ZHOU, Hui TIAN, Chun-guang MA, Song-tao YANG

“…A method of privacy preservation based on pseudorandom permutation was put forward for the issues of location privacy and query content privacy.Firstly,the distribution information of points of interest (PoI) based on the vertexes in the road network was organized,each single road vertex was taken as the foundational processing object.Based on the pseudorandom permutation,a permutation scheme of the point-of-interest records at the LBS server's end was put forward,a 32-bit random seed was adopted to generate a permuted table in the scheme,and the point-of-interest records were encrypted and permuted according to the table.These processed records were stored in the LBS database.Then a trusted intermediate server,replacing of the user,issued a query request with a record number instead of the query content to the LBS server.The LBS server could not determine which kind of PoI the user was interested in or which road section the user was locating on,and therefore the scheme achieved private information retrieval.Finally,the efficiency in the metrics of query accuracy,communication overhead and processing time was also analyzed.By the performance analysis and extensive experiments,the proposed scheme is proved to be location untraceable and query content uncorrelation.…”
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Leveraging Deep Learning for Personalized Book Recommendations: A Big Data Algorithm Combining Capsule Networks and Attention Mechanisms by Jiali Liao, Tianxiang Li

“…In the era of big data, personalized book recommendations have become crucial for enhancing user satisfaction and improving information retrieval efficiency. This study addresses the limitations of existing book recommendation algorithms by proposing a novel Hybrid Book Recommendation Algorithm Considering Different Preferences (HBRACDP). …”
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Aplikasi Pencarian Hadis Menggunakan Vector Space Model Dengan Pembobotan TF-IDF Dan Confix-Stripping Stemmer by Novi Prisma Yunita

“…Aplikasi pencarian dibangun menggunakan metode Information Retrieval antara lain Vector Space Model (VSM) dan Term Frequency – Invers Document Frequency (TF-IDF) untuk membangun ruang vektor dan pembobotan term, dan stemming menggunakan algoritma Confix-Stripping Stemmer (CS Stemmer). …”
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Enhancing conceptualisations of information behaviour contexts through insights from research on e-dictionaries and e-lexicography by Theo JD Bothma, Ina Fourie

“…Conceptualisations of context in information behaviour research strongly focus on the user (e.g. the need, problem) and specific situations in such contexts, sometimes extending to temporality and spatiality. Information retrieval literature also notes the context of the person who created information and of an intermediary (person or system). …”
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KPDR : An Effective Method of Privacy Protection by Zihao Shen, Wei Zhen, Pengfei Li, Hui Wang, Kun Liu, Peiqian Liu

“…Then, the private information retrieval model is applied to ensure the privacy of users’ target information points. …”
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CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability by Pengyi Li, Xueying Fu, Juntao Chen, Junyi Hu

“…Abstract Text Graph Representation Learning through Graph Neural Networks (TG-GNN) is a powerful approach in natural language processing and information retrieval. However, it faces challenges in computational complexity and interpretability. …”
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Graph Convolutional Network for Word Sense Disambiguation by Chun-Xiang Zhang, Rui Liu, Xue-Yao Gao, Bo Yu

“…Word sense disambiguation (WSD) is an important research topic in natural language processing, which is widely applied to text classification, machine translation, and information retrieval. In order to improve disambiguation accuracy, this paper proposes a WSD method based on the graph convolutional network (GCN). …”
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RESEARCH ON HEIDELTIME WITH VIETNAMESE LANGUAGE PROCESSING AND EXPERIMENTAL APPLICATION DEVELOPMENT AND EVALUATION by Dien Thi Hong Ha

“…It effectively supports time-based information retrieval and extraction, meeting users' practical needs. …”
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Privacy computing:concept, connotation and its research trend by Feng-hua LI, Hui LI, Yan JIA, Neng-hai YU, Jian WENG

“…s: With the widespread application of mobile Internet, cloud computing and big data technologies, people enjoy the convenience of electronic business, information retrieval, social network and other services, whereas the threats of privacy leaks are ever growing due to the use of big data analytics. …”
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Searching for people in the workplace: aims, behaviour, and challenges by Tanja Svarre, Marianne Lykke, Ann Bygholm

“…Searching for a person covers a large part of the information retrieval carried out in the workplace. However, it can be challenging to identify relevant people through a query. …”
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