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Acquiring Thesauri from Wikipedia
Novák, Ján ; Schmidt, Marek (referee) ; Otrusina, Lubomír (advisor)
This thesis deals with automatic acquiring thesauri from Wikipedia. It describes Wikipedia as a suitable data set for thesauri acquiring and also methods for computing semantic similarity of terms are described. The thesis also contains a description of concepts and implementation of the system for automatic thesauri acquiring. Finally, the implemented system is evaluated by the standard metrics, such as precision or recall.
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Semantic Similarity of Terms
Novák, Ján ; Šilhavá, Jana (referee) ; Schmidt, Marek (advisor)
The goal of this thesis is processing knowledge about Automatic Term Recognition and methods of computing term similarity according to co-occurence and on ground of this knowledge suggest and implement system for computing semantic similarity of terms from large collection of documents.
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Semantic Relatedness of Scientific Articles
Dresto, Erik ; Schmidt, Marek (referee) ; Otrusina, Lubomír (advisor)
The main goal of the thesis is to explore basic methods which can be used to find semantically related scientific articles. All the methods are explained in detail, compared and in the end evaluated by the standard metrics. Based on the evaluation, a new method for computing semantic similarity of scientific articles is proposed. The proposed method is based on the current state-of-the-art methods and adds the another important factor for computing similarity - citations. Using citations is important, since they represent a static bond between the articles. Finally, the proposed method is evaluated on the real data and compared with other described methods.
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Semantic Similarity of Terms
Novák, Ján ; Šilhavá, Jana (referee) ; Schmidt, Marek (advisor)
The goal of this thesis is processing knowledge about Automatic Term Recognition and methods of computing term similarity according to co-occurence and on ground of this knowledge suggest and implement system for computing semantic similarity of terms from large collection of documents.
|
|
|
Acquiring Thesauri from Wikipedia
Novák, Ján ; Schmidt, Marek (referee) ; Otrusina, Lubomír (advisor)
This thesis deals with automatic acquiring thesauri from Wikipedia. It describes Wikipedia as a suitable data set for thesauri acquiring and also methods for computing semantic similarity of terms are described. The thesis also contains a description of concepts and implementation of the system for automatic thesauri acquiring. Finally, the implemented system is evaluated by the standard metrics, such as precision or recall.
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Semantic Relatedness of Scientific Articles
Dresto, Erik ; Schmidt, Marek (referee) ; Otrusina, Lubomír (advisor)
The main goal of the thesis is to explore basic methods which can be used to find semantically related scientific articles. All the methods are explained in detail, compared and in the end evaluated by the standard metrics. Based on the evaluation, a new method for computing semantic similarity of scientific articles is proposed. The proposed method is based on the current state-of-the-art methods and adds the another important factor for computing similarity - citations. Using citations is important, since they represent a static bond between the articles. Finally, the proposed method is evaluated on the real data and compared with other described methods.
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