Information Retrieval

Leveraging NLP in Knowledge Management: a Case Study of Lab Document Management

In a pioneering effort to streamline laboratory knowledge management, a sophisticated system leveraging Natural Language Processing (NLP) and machine learning models, including BERT and GPT, was developed to efficiently manage a massive repository of scanned documents. By applying advanced techniques such as topic modeling, document clustering, and semantic similarity analysis, this system significantly improved document accessibility, categorization, and retrieval. The creation of a detailed ontology, integrated with public data sources, further enhanced data interoperability and research collaboration, showcasing the transformative potential of NLP in handling complex data landscapes.

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How many fields in data science?

Data Science is a research activity… mostly Data-driven scientific discovery is regarded as the fourth science paradigm   The twenty-first century has ushered in a new age that is coined as data science  and big data analytics. Data-driven scientific discovery is regarded as the fourth science paradigm. Data science has been a core driver of the new-generation science, technologies and economy, and is driving new researches, innovation, profession, applications and education across both disciplines and business domains.  There are many scientific and technical challenges associated with big data, ranging from data capture, creation, storage, search, sharing, modeling, representation, analysis, learning, visualization, explanation, and decision making. Among the many data characteristics and complexities to be addressed, I mention  the hybridization of heterogeneous, multisource, hierarchical, interactive, dynamic,…

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