Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Semantic indexing"”.
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Role of semantic indexing for text classification.
… (BOW) assumption where terms from the indexing vocabulary are treated independently of one another. However, the expressiveness of natural language means that lexically different terms often have related or even identical meanings. Thus, failure to take into account the semantic …
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Latent Semantic Indexing and Information Retrieval-A quest with BosSE
… implementation of a search engine using Latent Semantic Indexing (LSI) called BoSSE. Four different search types were implemented which allow a search for documents or terms similar to a given term, query or document. These search types are evaluated and the importance of term weighting, …
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VastMM-Tag: Semantic Indexing and Browsing of Videos for E-Learning
… though the use of machine learning, to gather semantic information about the videos; and through user interface design, to enable users to fully utilize this new information. First, we use machine learning techniques to gather the semantic information. We develop a system for rapid automatic …
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Semantic Indexing via Knowledge Organization Systems: Applying the CIDOC-CRM to Archaeological Grey Literature
… A potential dissemination of information via semantic technologies offers the opportunity to improve archaeological practice, not only by enabling access to information but also by changing how information is structured and the way research is conducted.<br/><br/>This thesis presents a method …
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Faster streaming algorithms for low-rank matrix approximations
… apply our algorithms to the technique of Latent Semantic Indexing on a widely studied data set. We find our algorithms provide strong empirical results.
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Learning with matrix factorizations
… and models suggested in recent years (Latent Semantic Indexing, Aspect Models, Probabilistic PCA, Exponential PCA, Non-Negative Matrix Factorization and others). In this thesis we address several issues related to learning with matrix factorizations: we study the asymptotic behavior and …
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Distributed Denial of Service Attack Detection
… (TF)-Inverse Document Frequency (IDF) and Latent Semantic Indexing (LSI). We analyzed web server log data generated in a distributed environment. Our evaluation results indicate that while all the approaches can detect various ranges of attacks, information retrieval approaches can identify …
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Combining information retrieval modules and structural information for source code bug localization and feature location
… information retrieval techniques, such as latent semantic indexing (LSI), to model lexical information, such as identifiers and comments, from source code. This research presents a new technique, LSICG, which combines LSI modeling lexical information and call graphs to modeling structural …
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Content-based image indexing and retrieval for visual information systems
… is still in its infancy. The problem lies on the semantic richness and complexity of visual information in comparison to alphanumeric information. In this thesis, we present new paradigms for content-based image indexing and retrieval for Visual Information Systems. The concept of Image Hashing …
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An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues
… (CBA), query likelihood model (QLM) and latent semantic indexing (LSI). The evaluation was conducted using the performance and statistical metrics: P@40, NDCG@40, MAP, Analysis of Variance (ANOVA) and Turkey HSD Tests. The outcome of the final experimental results obtained shows that, the ECBA …
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Improving Searchability of Automatically Transcribed Lectures Through Dynamic Language Modelling
… presented which uses the English Wikipedia as a semantically dense, large language corpus to generate a custom lexicon and language model for each lecture from a small set of keywords. Two strategies for extracting a topic-specific subset of Wikipedia articles are investigated: a naïve crawler …
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Introspective knowledge acquisition for case retrieval networks in textual case base reasoning.
… thesis applied to text classification. Latent Semantic Indexing (LSI) generated concepts are a useful resource for relevance knowledge acquisition for CRNs. This thesis introduces a supervised LSI technique called sprinkling that exploits class knowledge to bias LSI's concept generation. An …
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Web mining techniques for recommendation and personalization
… files, we have proposed three kinds of latent semantic analytical techniques based on three statistical models, namely traditional Latent Semantic Indexing, Probabilistic Latent Semantic Analysis and Latent Dirichlet Allocation model. In comparison to conventional Web usage mining approaches, …
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Multimodal Indexing of Presentation Videos
… by the end users. We introduce four major semantic indexing cues: text, speaker faces, graphics, and mosaics, going beyond standard tag based searches and simple video playbacks. This work aims at recognizing visual content "in the wild", where the system cannot rely on any additional …
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First Order Methods for Large-Scale Sparse Optimization
… video surveillance, face recognition, latent semantic indexing, and ranking and collaborative filtering. To best of our knowledge, an algorithm for the SPCP problem that has O(1/eps) iteration complexity and has a per iteration complexity equal to that of a singular value decomposition is …
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From Hidden Data and Information towards Data-Driven Research in the Biomedical Domain
… the need for digital services with automatic indexing methods.<br /><br /> To support researchers during the pandemic, we set up a text mining-based semantic search engine that combines preprints (i.e. non peer-reviewed articles) from several different preprint servers. Semantic indexing and …