Suchergebnisse - "Information systems World Wide Web Web mining Data extraction and integration"

AutoDW: Automatic Data Wrangling Leveraging Large Language Models von Liu, Lei, Hasegawa, So, Sampat, Shailaja Keyur, Xenochristou, Maria, Chen, Wei-Peng, Kato, Takashi, Kakibuchi, Taisei, Asai, Tatsuya

“… Data wrangling is a critical yet often labor-intensive process, essential for transforming raw data into formats suitable for downstream tasks such as machine …”
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Image4Act: Online Social Media Image Processing for Disaster Response von Alam, Firoj, Imran, Muhammad, Ofli, Ferda

“… We present an end-to-end social media image processing system called Image4Act. The system aims at collecting, denoising, and classifying imagery content …”
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Discovering Image Usage Online: A Case Study with "Flatten the Curve" von Jones, Shawn M., Oyen, Diane

“… Understanding the spread of images across the web helps us understand the reuse of scientific visualizations and their relationship with the public. The …”
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ABCDEF - The 6 key features behind scalable, multi-tenant web archive processing with ARCH: Archive, Big Data, Concurrent, Distributed, Efficient, Flexible von Holzmann, Helge, Ruest, Nick, Bailey, Jefferson, Dempsey, Alex, Fritz, Samantha, Lee, Peggy, Milligan, Ian

“… Over the past quarter-century, web archive collection has emerged as a user-friendly process thanks to cloud-hosted solutions such as the Internet Archive's …”
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A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries von Kroll, Hermann, Pirklbauer, Jan, Plotzky, Florian, Balke, Wolf-Tilo

“… Information extraction can support novel and effective access paths for digital libraries. Nevertheless, designing reliable extraction workflows can be …”
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PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data von Kamdar, Maulik R, Musen, Mark A

“… Integrated approaches for pharmacology are required for the mechanism-based predictions of adverse drug reactions that manifest due to concomitant intake of …”
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Towards identifying potential research collaborations from scientific research networks using scholarly data von Garay, Yanet, Akbar, Monika, Gates, Ann Q.

“… Identifying research areas of researchers is a difficult task because of the various levels of abstraction in which information may be stored; however, such a …”
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