|
|
Semantic Analysis of Web Content
Hubl, Lukáš ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
This work deals with the topics of semantic web, web page segmentation and technologies, which are used in this area. It also deals with a modification of one web page segmentation method, specifically DOM-based segmentation, using semantic web technologies. Thus, this work designs the way of web page segmentation based on semantic analysis of individual elements of the web pages content. An application that demonstrates the functionality of the designed segmentation method was also created within this work. With the implemented application, experiments were performed, whose results are also part of this work.
|
|
|
Consistency Checking of Relations Extracted from Text
Stejskal, Jakub ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This bachelor thesis is dedicated to mechanical techniques that are used in the natural language processing and information extraction from particular text. It is approaching the general methods that starting to process the raw text and it continues to the relations extraction from processed language constructs, moreover it provides options for the use of obtained relational data which can be seen for example in the project DBpedia. Another milestone of the described bachelor thesis is the design and implementation of an automated system for extracting information about entities, which do not have their own article on the English version of Wikipedia. Thesis also presents algorithms developed for the extraction of entities with their own name, the verification of the articles ‘existence of the extracted entities and finally the actual extraction of information about individual entities, which can be used during the information consistency checking. In the end, it can be seen the results and suggestions for further development of the created system.
|
|
|
Text Classification Methods in the Context of Web Pages
Trstenský, Patrik ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
This work deals with the issue of text classification in the context of websites. It examines available classification methods and their accuracy over web page plain text. It deals with constructing a dataset for training these methods for a specific domain. We obtain data for creating the dataset from publicly available websites that utilize RDF documents defined in HTML code. The conclusion of the work consists of the creation of two datasets for two different domains. Furthermore, the use of these datasets for training models and testing of their accuracy.
|
|
|
Semantic Analysis of Web Content
Hubl, Lukáš ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
This work deals with the topics of semantic web, web page segmentation and technologies, which are used in this area. It also deals with a modification of one web page segmentation method, specifically DOM-based segmentation, using semantic web technologies. Thus, this work designs the way of web page segmentation based on semantic analysis of individual elements of the web pages content. An application that demonstrates the functionality of the designed segmentation method was also created within this work. With the implemented application, experiments were performed, whose results are also part of this work.
|
|
|
Shared Personal Knowledge Database
Folk, Michal ; Nečaský, Martin (advisor) ; Knap, Tomáš (referee)
The goal of the paper is to suggest a solution of an inefficiency in searching for previously searched and found information. The suggested solution is based on the use of a personal knowledge base built upon existing technologies and adapted to needs of common users. The thesis is focused especially to the search based on semantic similarities between tags. Collective knowledge is used for finding the similarities. The first part of the paper introduces the repetitive search problem by a few real world scenarios. In the second part the problem is analyzed from the personal knowledge base point of view. The third part explains the suggested solution that is built upon Delicious, a bookmarking service and DBpedia. The suggested solution is implemented as a prototype. In the final part the prototype is tested and evaluated. The test results suggest that the presented solution can make the repetitive search easier, but at the same time it exposes some performance issues that the proposed method brings up. The paper recommends modifications that could improve the performance and allow more extensive prototype testing. Powered by TCPDF (www.tcpdf.org)
|
|
|
Consistency Checking of Relations Extracted from Text
Stejskal, Jakub ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This bachelor thesis is dedicated to mechanical techniques that are used in the natural language processing and information extraction from particular text. It is approaching the general methods that starting to process the raw text and it continues to the relations extraction from processed language constructs, moreover it provides options for the use of obtained relational data which can be seen for example in the project DBpedia. Another milestone of the described bachelor thesis is the design and implementation of an automated system for extracting information about entities, which do not have their own article on the English version of Wikipedia. Thesis also presents algorithms developed for the extraction of entities with their own name, the verification of the articles ‘existence of the extracted entities and finally the actual extraction of information about individual entities, which can be used during the information consistency checking. In the end, it can be seen the results and suggestions for further development of the created system.
|
|
|
The use of linked open data for strategic knowledge game creation
Turečková, Šárka ; Svátek, Vojtěch (advisor) ; Zeman, Václav (referee)
The general theme of this thesis was the use of linked open data for a creation of games. This thesis specifically addressed the issue of usage of DBpedia for automatic question generation suitable for use in games. Within that are proposed suitable ways of selecting wanted objects from DBpedia and ways of obtaining and processing relevant information from them. Including a method for estimating renown of individual objects. Some of methods are then applied to create a program for a question generation from the data obtained through DBpedia during the run of the application. The real possibility of using these questions generated from DBpedia for gaming purposes is subsequently proved by the design, prototype and tests of a knowledge strategic multiplayer game. The paper also summarizes all the major issues and possible complications from using the data obtained through DBpedia or DBpedia Live endpoints. Current challenges and opportunities for mutual utilization of games and LOD are also briefly discussed.
|
guest ::
