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Evolution of Indian cuisine: a socio-historical review
Antani Vishu,Mahapatra Santosh 한국식품연구원 2022 Journal of Ethnic Foods Vol.9 No.-
This paper aims to present a socio-historical review of Indian cuisine and its evolution. Based on a thorough analysis of a wide range of documents, the investigation focuses on four eras, each having a significant and lasting effect on Indian cuisine. Parallels have been drawn to modern Indian cuisine wherever possible. This study follows the advances in Indian cuisine through the prehistoric era, into the Vedic era, where religious scriptures, especially the Hindu scriptures, affected what was cooked during the time, followed by the invasion of the subcontinent by the Mughals. Finally, the effects of European colonization on Indian cuisine are critically analysed and an attempt is made to examine threads, if any, connecting culinary preferences of people across these phases. The results of the analysis indicate the intriguing impact of intricate connections among several sociocultural factors on the evolution of Indian cuisine. At the end of the paper, a few areas are identified for future exploration.
Design and Development of a Multimodal Biomedical Information Retrieval System
Dina Demner-Fushman,Sameer Antani,Matthew Simpson,George R. Thoma 한국정보과학회 2012 Journal of Computing Science and Engineering Vol.6 No.2
The search for relevant and actionable information is a key to achieving clinical and research goals in biomedicine. Biomedical information exists in different forms: as text and illustrations in journal articles and other documents, in images stored in databases, and as patients’ cases in electronic health records. This paper presents ways to move beyond conventional text-based searching of these resources, by combining text and visual features in search queries and document representation. A combination of techniques and tools from the fields of natural language processing, information retrieval, and content-based image retrieval allows the development of building blocks for advanced information services. Such services enable searching by textual as well as visual queries, and retrieving documents enriched by relevant images, charts, and other illustrations from the journal literature, patient records and image databases.
Design and Development of a Multimodal Biomedical Information Retrieval System
Demner-Fushman, Dina,Antani, Sameer,Simpson, Matthew,Thoma, George R. Korean Institute of Information Scientists and Eng 2012 Journal of Computing Science and Engineering Vol.6 No.2
The search for relevant and actionable information is a key to achieving clinical and research goals in biomedicine. Biomedical information exists in different forms: as text and illustrations in journal articles and other documents, in images stored in databases, and as patients' cases in electronic health records. This paper presents ways to move beyond conventional text-based searching of these resources, by combining text and visual features in search queries and document representation. A combination of techniques and tools from the fields of natural language processing, information retrieval, and content-based image retrieval allows the development of building blocks for advanced information services. Such services enable searching by textual as well as visual queries, and retrieving documents enriched by relevant images, charts, and other illustrations from the journal literature, patient records and image databases.