Detail publikace

Extracting Visually Presented Element Relationships from Web Documents

Originální název

Extracting Visually Presented Element Relationships from Web Documents

Anglický název

Extracting Visually Presented Element Relationships from Web Documents

Jazyk

en

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.

Anglický 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.

BibTex


@article{BUT105971,
  author="Radek {Burget} and Pavel {Smrž}",
  title="Extracting Visually Presented Element Relationships from Web Documents",
  annote="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.",
  address="NEUVEDEN",
  chapter="105971",
  doi="10.4018/ijcini.2013040102",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  number="2",
  volume="2013",
  year="2013",
  month="december",
  pages="13--29",
  publisher="NEUVEDEN",
  type="journal article in Scopus"
}