Journal article

BURGET Radek and SMRŽ Pavel. Extracting Visually Presented Element Relationships from Web Documents. International Journal of Cognitive Informatics and Natural Intelligence. Hershey: IGI Global, 2013, vol. 2013, no. 2, pp. 13-29. ISSN 1557-3958.
Publication language:english
Original title:Extracting Visually Presented Element Relationships from Web Documents
Title (cs):Extrakce vizuálně prezentovaných vztahů z webových dokumentů
Journal:International Journal of Cognitive Informatics and Natural Intelligence, Vol. 2013, No. 2, Hershey, US
logical document structure; page segmentation; document analysis; web documents
Many documents in the World Wide Web present structured information that consists of multiple pieces of data with certain relationships among them. Although it is usually not difficult to identify the individual data values in the document text, their relationships are often not explicitly described in the document content. They are expressed by visual presentation of the document content that is expected to be interpreted by a human reader. In this paper, we propose a formal generic model of logical relationships in a document based on an interpretation of visual presentation patterns in the documents. The model describes the visually expressed relationships between individual parts of the contents independently of the document format and the particular way of presentation. Therefore, it can be used as an appropriate document model in many information retrieval or extraction applica- tions. We formally define the model, we introduce a method of extracting the relationships between the content parts based on the visual presentation analysis and we discuss the expected applications. We also present a new dataset consisting of programmes of conferences and other scientific events and we discuss its suitability for the task in hand. Finally, we use the dataset to evaluate results of the implemented system.
   author = {Radek Burget and Pavel Smr{\v{z}}},
   title = {Extracting Visually Presented Element
	Relationships from Web Documents},
   pages = {13--29},
   journal = {International Journal of Cognitive Informatics and Natural
   volume = 2013,
 number = 2,
   year = 2013,
   ISSN = {1557-3958},
   language = {english},
   url = {}

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