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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Extracting Structured Data from Czech Web Using Extraction Ontologies
 Pouzar, Aleš ; Svátek, Vojtěch (advisor) ; Labský, Martin (referee)
The presented thesis deals with the task of automatic information extraction from HTML documents for two selected domains. Laptop offers are extracted from e-shops and free-published job offerings are extracted from company sites. The extraction process outputs structured data of high granularity grouped into data records, in which corresponding semantic label is assigned to each data item. The task was performed using the extraction system Ex, which combines two approaches: manually written rules and supervised machine learning algorithms. Due to the expert knowledge in the form of extraction rules the lack of training data could be overcome. The rules are independent of the specific formatting structure so that one extraction model could be used for heterogeneous set of documents. The achieved success of the extraction process in the case of laptop offers showed that extraction ontology describing one or a few product types could be combined with wrapper induction methods to automatically extract all product type offers on a web scale with minimum human effort.
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The Function of OCR Technology and its Usage in Document Processing
 Pouzar, Aleš ; Horný, Stanislav (advisor) ; Krsek, Libor (referee)
Owing to a boom of information technologies optical character recognition has recently become a popular and affordable technology, enabling an effective way of sharing a large amount of information stored in paper documents. This work deals with systems for document conversion of analog data into electronic and editable form. It outlines the main methodology of OCR technology, evaluates a performance of OCR applications and analyses the contribution of imaging technologies through the benchmark tests on the set of paper documents.
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