|
|
Converting HTML product data to Linked Data
Kadleček, Rastislav ; Nečaský, Martin (advisor) ; Svoboda, Martin (referee)
In order to make a step towards the idea of the Semantic Web it is necessary to research ways how to retrieve semantic information from documents published on the current Web 2.0. As an answer to growing amount of data published in a form of relational tables, the Odalic system, based on the extended TableMiner+ Semantic Table Interpretation algorithm was introduced to provide a convenient way to semantize tabular data using knowledge base disambiguation process. The goal of this thesis is to propose an extended algorithm for the Odalic system, which would allow the system to gather semantic information for tabular data describing products from e-shops, which have very limited presence in the knowl- edge bases. This should be achieved by using a machine learning technique called classification. This thesis consists of several parts - obtaining and preprocessing of the product data from e-shops, evaluation of several classification algorithms in order to select the best-performing one, description of design and implementation of the extended Odalic algorithm, description of its integration into the Odalic system, evaluation of the improved algorithm using the obtained product data and semantization of the product data using the new Odalic algorithm. In the end, the results are concluded and possible...
|
|
|
Universal Framework for HTML Triplification
Kadleček, Rastislav ; Stárka, Jakub (advisor) ; Klímek, Jakub (referee)
The aim of this bachelor thesis is to introduce Linked Data and Resource Description Framework technologies, and map the current situation in the field of HTML document data extraction and extracted data conversion to RDF format. In this thesis, the software system Strigil is introduced. This system is designed to triplificate data from HTML documents, however, it is extensible for another file formats. The features of this system are demonstrated by triplificating data from selected Web sites. Then, some statistical information about this RDF data are shown. In the conclusion of this thesis, the entire thesis is summarized, and some useful hints about Web site scraping are mentioned.
|
guest ::
