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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 20 of 147 for “"Data Extraction"”.
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Probabilistic visual relational data extraction
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-12-09T14:11:23Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Bui_Ngoc.pdf: 1994663 bytes, checksum: a969f6579139dd6ec1f1bdd59f45e8a2 (MD5)
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Generating Data-Extraction Ontologies By Example
Ontology-based data-extraction is a resilient web data-extraction approach. A major limitation of this approach is that ontology experts must manually develop and maintain data-extraction ontologies. The limitation prevents ordinary users who have little knowledge of conceptual models from making …
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Schema Matching and Data Extraction over HTML Tables
Data on the Web in HTML tables is mostly structured, but we usually do not know the structure in advance. Thus, we cannot directly query for data of interest. We propose a solution to this problem for the case of mostly structured data in the form of HTML tables, based on document-independent …
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Standardization of Electronic Component Datasheets to Improve Systematic Data Extraction
… challenge of standardizing electronic component datasheets to improve systematic data extraction. The absence of uniformity in datasheet design complicates the process of systematically extracting critical information, leading to significant manual effort and potential errors. This research …
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A Distributed data extraction and visualisation service for wireless sensor networks
… in applications of wireless sensor networks, data extraction and visualisation have become a key issue to develop and operate these networks. Wireless sensor networks typically gather data at a discrete number of locations. By bestowing the ability to predict inter-node values upon the …
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Configural Displays: The effects of salience on multi-level data extraction
… and limitations to understand that domain data. The objective of this dissertation is to extend the use of semantic mapping to address potential performance costs of configural displays for hierarchical domains using the scenario-based training (SBT) instructor domain. Two studies were …
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Dynamic Data Extraction and Data Visualization with Application to the Kentucky Mesonet
<p>There is a need to integrate large-scale database, high-performance computing engines and geographical information system technologies into a user-friendly web interface as a platform for data visualization and customized statistical analysis. We present some concepts and design ideas regarding …
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A Framework for Extraction Plans and Heuristics in an Ontology-Based Data-Extraction System
<p>Extraction of information from semi-structured or unstructured documents, such as Web pages, is a useful yet complex task. Research has demonstrated that ontologies may be used to achieve a high degree of accuracy in data extraction while maintaining resiliency in the face of document changes. …
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Multi agent system for web database processing, on data extraction from online social networks.
… from a variety of web resources such as web databases, web sites, web services and programs. Online Social Networks (OSNs) represent such a eld where huge amounts of information are being posted online over time. Due to the nature of OSNs, which o er a productive source for qualitative and …
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Computer vision and deep-learning tools for automatic data extraction from chemical reaction schemes
… high-throughput tool for converting visual data into machine-readable formats. Data extracted in this manner can be used for the creation of databases and provides insight into the chemical domain through a big data approach, which facilitates the chemical discovery process. The extraction …
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Analyzing Inconsistent Results of Table Transformer for Improved Data Extraction in Childhood Obesity Intervention Literature
… literature are rich sources of structured data, yet their complex and variable formats pose challenges for automated extraction. This thesis focuses on improving the reliability of Table Structure Recognition (TSR) using the Table Transformer (TATR) model, with a specific application to …
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From purification, spectroscopy, and microscopy of carbon dots to synthesis modeling and AI-assisted spectral data extraction
… physical modeling, and AI-assisted data curation. Part A develops and applies rigorous purification and fractionation to disentangle bottom-up products of CD synthesis from confounding small molecules; it then combines ensemble spectroscopy with single-particle fluorescence (Eric …
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Automatic creation of novel databases with data-extraction tools for the advancement of third-generation solar cells.
… software tools to automatically create databases, to accelerate progress in third-generation photovoltaic devices. New discoveries in this area are typically published in research articles, where the data are contained in figures, tables and text. The field could benefit from a single …
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3D Facial Feature Extraction and Recognition. An investigation of 3D face recognition: correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques.
… systems and the availability of 3D face databases, 3D face recognition has been attracting interest to tackle the limitations in performance of most existing 2D systems. In this research, we introduce a robust automated 3D Face recognition system that implements 3D data of faces with …
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Automating the Extraction of Domain-Specific Information from the Web-A Case Study for the Genealogical Domain
… GeneTIQS builds on ontology-based methods of data extraction to allow database-style queries on the Web. This thesis makes two main contributions to GeneTIQS. (1) It builds a framework to do generic ontology-based data extraction. (2) It develops a hybrid record separator based on Vector Space …
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A robust algorithm for information hiding in digital pictures
… for digital images is that of alignment during data extraction. This alignment problem can be solved using a search approach where a combination of coarse orientation detection, random search and gradient descent methods are employed. When used in conjunction with the Patch Track algorithm, it …
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Critical Issues in the Processing of cDNA Microarray Images
… introduce inherent errors in the extracted data. Data is gathered by processing scanned images of microarray slides. Therefore robust image processing is particularly important and has a large impact on downstream analysis. The processing of the scanned images can be subdivided in three …
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Automatic data interpretation from scientific literatures in the portable document format with information-extraction tools for the advancement of materials discovery
… software tools to automatically extract metadata, text, images, and chemistry information from scientific literatures that are in PDF (portable document format), a widely used format in academic and scientific communities, to accelerate the data-driven materials discovery. The nature of PDF …
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Outcome and Resource Use of Patients with Liver Disease: Analysis of Chinese Electronic Medical Records
… outcome studies of liver diseases, require large databases and rich case mix information to incorporate severity assessment and risk adjustment in order to generate robust results. Researchers worldwide have recognized the potential value of electronic medical record (EMR) and tremendous efforts …
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