Faculty Publications
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Item A semantic search engine for answering domain specific user queries(2013) Kamath S․, S.S.; Piraviperumal, D.; Meena, G.; Karkidholi, S.; Kumar, K.With the exponential growth in web content and due to its sheer volume, the answers provided by traditional search engines by query specific keywords to content has resulted in markedly high recall and low precision. In order to alleviate this problem, the notion of incorporating semantics in content and in Search Engines, i.e., a Semantic Search Engine is increasingly crucial. Several Semantic Search Engines (SSEs) have been proposed and deployed till date and each is inherently different from the other. As such, the objective of this paper is to present a discussion on semantically enhanced search engines for intelligent web content discovery. We also present the architecture of a new SSE based on a bottom up approach that focuses on building a semantic base for Web content first and then carry out the process of querying it for attaining high precision and lower recall. © 2013 IEEE.Item NLP based intelligent news search engine using information extraction from e-newspapers(Institute of Electrical and Electronics Engineers Inc., 2014) Kanakaraj, M.; Kamath S․, S.Extracting text information from a web news page is a challenging task as most of the E-News content is provided with support from backend Content Management Systems (CMSs). In this paper, we present a personalized news search engine that focuses on building a repository of news articles by applying efficient extraction of text information from a web news page from varied e-news portals. The system is based on the concept of Document Object Model(DOM) tree manipulation for extracting text and modifying the web page structure to exclude irrelevant content like ads and user comments. We also use WordNet, a thesaurus of English language based on psycholinguist studies for matching the extracted content semantically to the title of the web page. TF-IDF (Term Frequency Inverse Document Frequency) is used for identifying the web page blocks carrying information relevant to the pages title. In addition to the extraction of information, functionalities to gather related information from different web news papers and to summarize the gathered information based on user preferences have also been included. We observed that the system was able to achieve good recall and high precision for both generalized and specific queries. © 2014 IEEE.Item Measuring the Quality of Text Summarization: A Survey of Evaluation Approaches(Institute of Electrical and Electronics Engineers Inc., 2023) Rosamma, K.S.R.; Patil, N.Text summarization and text summarization measures both play significant roles in the field of natural language processing and information retrieval. Text summarization is a computational technique that condenses large volumes of text into concise summaries, extracting key information and main ideas. It enables users to efficiently retrieve relevant information, comprehend complex documents, and make informed decisions. On the other hand, text summarization measures are essential tools for evaluating the quality, effectiveness, and performance of text summarization systems. These measures encompass various aspects, including content coverage, linguistic quality, coherence, and informativeness of the generated summaries. By leveraging text summarization measures, researchers and practitioners can systematically evaluate, benchmark, and improve summarization methods. They facilitate the identification of best practices, the development of innovative techniques, and the fair comparison of different approaches. This paper presents a comprehensive comparative analysis of various text summarization measures. © 2023 IEEE.Item Digital watermarking is a technique of hiding specific identification data for copyright authentication. This technique is adapted here for interleaving patient information with medical images to reduce storage and transmission overheads. The text data are encrypted before interleaving with images to ensure greater security. The graphical signals are compressed and subsequently interleaved with the image. Differential pulse-code-modulation and adaptive-delta-modulation techniques are employed for data compression, and encryption and results are tabulated for a specific example.(Compact storage of medical images with patient information) Acharya, A.U.; Anand, D.; P, S.B.; C, N.U.2001Item Background. Digital watermarking is a technique of hiding specific identification data for copyright authentication. This technique is adapted here for interleaving patient information with medical images, to reduce storage and transmission overheads. Methods. The patient information is encrypted before interleaving with images to ensure greater security. The bio-signals are compressed and subsequently interleaved with the image. This interleaving is carried out in the spatial domain and Frequency domain. The performance of interleaving in the spatial, Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) coefficients is studied. Differential pulse code modulation (DPCM) is employed for data compression as well as encryption and results are tabulated for a specific example. Results. It can be seen from results, the process does not affect the picture quality. This is attributed to the fact that the change in LSB of a pixel changes its brightness by 1 part in 256. Spatial and DFT domain interleaving gave very less %NRMSE as compared to DCT and DWT domain. Conclusion. The Results show that spatial domain the interleaving, the %NRMSE was less than 0.25% for 8-bit encoded pixel intensity. Among the frequency domain interleaving methods, DFT was found to be very efficient. © 2004 Nayak et al, licensee BioMed Central Ltd.(Simultaneous storage of medical images in the spatial and frequency domain: A comparative study) Nayak, J.; Subbanna Bhat, P.; Acharya, A.U.; Niranjan, U.C.2004