Verwandte Artikel zu Content Extraction: Identifying the Main Content in...
Inhaltsangabe
Except the article forming the main content most HTML documents on the WWW contain additional contents such as navigation menus, design elements or commercial banners. In the context of several applications it is necessary to draw the distinction between main and additional content automatically. Content extraction and template detection are the two approaches to solve this task. This book gives an extensive overview and detailed description of existing and newly developed algorithms from both areas. The described content extraction algorithms are evaluated under different aspects using objective performance measures. An analysis of methods to cluster web documents according to their underlying templates completes the book. In combination with a localised crawling process this clustering analysis can be used to automatically create sets of training documents for template detection. As the whole process can be automated it allows to perform template detection on a single document, thereby combining the advantages of single and multi document algorithms.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
Except the article forming the main content most HTML documents on the WWW contain additional contents such as navigation menus, design elements or commercial banners. In the context of several applications it is necessary to draw the distinction between main and additional content automatically. Content extraction and template detection are the two approaches to solve this task. This book gives an extensive overview and detailed description of existing and newly developed algorithms from both areas. The described content extraction algorithms are evaluated under different aspects using objective performance measures. An analysis of methods to cluster web documents according to their underlying templates completes the book. In combination with a localised crawling process this clustering analysis can be used to automatically create sets of training documents for template detection. As the whole process can be automated it allows to perform template detection on a single document, thereby combining the advantages of single and multi document algorithms.
Biografía del autor
Dr. Thomas Gottron, born in 1977, studied Mathematics, Business Management and Computing Science in Mainz, Germany. He graduated in 2003 with a diploma-thesis on content management systems. Doing research in the field of content extraction, template detection and information retrieval, he received his PhD in Computing Science in 2008.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 89,90
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Content Extraction: Identifying the Main Content in...
Beispielbild für diese ISBN
Content Extraction: Identifying the Main Content in HTML Documents
Verlag:
Suedwestdeutscher Verlag fuer Hochschulschriften, 2009
ISBN 10: 3838104080
ISBN 13: 9783838104089
Gebraucht
Softcover
Anbieter: medimops, Berlin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Bestandsnummer des Verkäufers M03838104080-V
Anzahl: 1 verfügbar
Foto des Verkäufers
Content Extraction
ISBN 10: 3838104080
ISBN 13: 9783838104089
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Except the article forming the main content most HTML documents on the WWW contain additional contents such as navigation menus, design elements or commercial banners. In the context of several applications it is necessary to draw the distinction between main and additional content automatically. Content extraction and template detection are the two approaches to solve this task. This book gives an extensive overview and detailed description of existing and newly developed algorithms from both areas. The described content extraction algorithms are evaluated under different aspects using objective performance measures. An analysis of methods to cluster web documents according to their underlying templates completes the book. In combination with a localised crawling process this clustering analysis can be used to automatically create sets of training documents for template detection. As the whole process can be automated it allows to perform template detection on a single document, thereby combining the advantages of single and multi document algorithms.Books on Demand GmbH, Überseering 33, 22297 Hamburg 264 pp. Deutsch. Bestandsnummer des Verkäufers 9783838104089
Anzahl: 2 verfügbar
Foto des Verkäufers
Content Extraction | Identifying the Main Content in HTML Documents
Verlag:
Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, 2015
ISBN 10: 3838104080
ISBN 13: 9783838104089
Neu
Taschenbuch
Anbieter: preigu, Osnabrück, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Content Extraction | Identifying the Main Content in HTML Documents | Thomas Gottron | Taschenbuch | 264 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften AG Co. KG | EAN 9783838104089 | Verantwortliche Person für die EU: Südwestdt. Verl. f. Hochschulschrift., Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101644100
Anzahl: 5 verfügbar
Foto des Verkäufers
Content Extraction : Identifying the Main Content in HTML Documents
Verlag:
Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG, 2009
ISBN 10: 3838104080
ISBN 13: 9783838104089
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Except the article forming the main content most HTML documents on the WWW contain additional contents such as navigation menus, design elements or commercial banners. In the context of several applications it is necessary to draw the distinction between main and additional content automatically. Content extraction and template detection are the two approaches to solve this task. This book gives an extensive overview and detailed description of existing and newly developed algorithms from both areas. The described content extraction algorithms are evaluated under different aspects using objective performance measures. An analysis of methods to cluster web documents according to their underlying templates completes the book. In combination with a localised crawling process this clustering analysis can be used to automatically create sets of training documents for template detection. As the whole process can be automated it allows to perform template detection on a single document, thereby combining the advantages of single and multi document algorithms. Bestandsnummer des Verkäufers 9783838104089
Anzahl: 1 verfügbar
Foto des Verkäufers
Content Extraction
Verlag:
Südwestdeutscher Verlag für Hochschulschriften, 2015
ISBN 10: 3838104080
ISBN 13: 9783838104089
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Except the article forming the main content most HTML documents on the WWW contain additional contents such as navigation menus, design elements or commercial banners. In the context of several applications it is necessary to draw the distinction between ma. Bestandsnummer des Verkäufers 5404798
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Content Extraction
ISBN 10: 3838104080
ISBN 13: 9783838104089
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Except the article forming the main content most HTML documents on the WWW contain additional contents such as navigation menus, design elements or commercial banners. In the context of several applications it is necessary to draw the distinction between main and additional content automatically. Content extraction and template detection are the two approaches to solve this task. This book gives an extensive overview and detailed description of existing and newly developed algorithms from both areas. The described content extraction algorithms are evaluated under different aspects using objective performance measures. An analysis of methods to cluster web documents according to their underlying templates completes the book. In combination with a localised crawling process this clustering analysis can be used to automatically create sets of training documents for template detection. As the whole process can be automated it allows to perform template detection on a single document, thereby combining the advantages of single and multi document algorithms. 264 pp. Deutsch. Bestandsnummer des Verkäufers 9783838104089
Anzahl: 2 verfügbar