Publication detail

Automatic Document Structure Detection for Data Integration

BURGET, R.

Original Title

Automatic Document Structure Detection for Data Integration

English Title

Automatic Document Structure Detection for Data Integration

Type

conference paper

Language

en

Original Abstract

A great amount of information is still being stored in loosely structured documents in several widely used formats. Due to the lack of data description in these documents, their integration to the existing information systems requires sophisticated pre-processing techniques to be developed. To the document reader, the content structure is mostly presented by visual means. Therefore, we propose a technique for the discovery of the logical document structure based on the analysis of various visual properties of the document such as the page layout or text properties. This technique is currently being tested and some promising preliminary results are available.

English abstract

A great amount of information is still being stored in loosely structured documents in several widely used formats. Due to the lack of data description in these documents, their integration to the existing information systems requires sophisticated pre-processing techniques to be developed. To the document reader, the content structure is mostly presented by visual means. Therefore, we propose a technique for the discovery of the logical document structure based on the analysis of various visual properties of the document such as the page layout or text properties. This technique is currently being tested and some promising preliminary results are available.

Keywords

semistructured data, document analysis, visual segmentation, logical structure

RIV year

2007

Released

25.04.2007

Publisher

Springer Verlag

Location

Poznan

ISBN

978-3-540-72034-8

Book

Business Information Systems

Edition

LNCS 4439

Pages from

391

Pages to

397

Pages count

7

Documents

BibTex


@inproceedings{BUT30569,
  author="Radek {Burget}",
  title="Automatic Document Structure Detection for Data Integration",
  annote="A great amount of information is still being stored in loosely structured
documents in several widely used formats. Due to the lack of data description in
these documents, their integration to the existing information systems requires
sophisticated pre-processing techniques to be developed. To the document reader,
the content structure is mostly presented by visual means. Therefore, we propose
a technique for the discovery of the logical document structure based on the
analysis of various visual properties of the document such as the page layout or
text properties. This technique is currently being tested and some promising
preliminary results are available.",
  address="Springer Verlag",
  booktitle="Business Information Systems",
  chapter="30569",
  edition="LNCS 4439",
  howpublished="print",
  institution="Springer Verlag",
  journal="Lecture Notes in Computer Science (IF 0,513)",
  year="2007",
  month="april",
  pages="391--397",
  publisher="Springer Verlag",
  type="conference paper"
}