Detail publikace

Extracting Visually Presented Element Relationships from Web Documents

BURGET, R. SMRŽ, P.

Originální název

Extracting Visually Presented Element Relationships from Web Documents

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

logical document structure; page segmentation; document analysis; web documents

Autoři

BURGET, R.; SMRŽ, P.

Rok RIV

2013

Vydáno

31. 12. 2013

ISSN

1557-3958

Periodikum

International Journal of Cognitive Informatics and Natural Intelligence

Ročník

2013

Číslo

2

Stát

Spojené státy americké

Strany od

13

Strany do

29

Strany počet

17

URL

BibTex

@article{BUT105971,
  author="Radek {Burget} and Pavel {Smrž}",
  title="Extracting Visually Presented Element Relationships from Web Documents",
  journal="International Journal of Cognitive Informatics and Natural Intelligence",
  year="2013",
  volume="2013",
  number="2",
  pages="13--29",
  doi="10.4018/ijcini.2013040102",
  issn="1557-3958",
  url="https://www.fit.vut.cz/research/publication/10468/"
}