Towards automatic structured web data extraction system

Grigalis, Tomas

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/143223

Towards automatic structured web data extraction system

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

Author(s)

Title

Towards automatic structured web data extraction system

[en]

Tomas Grigalis

Is part of

Databases and Information Systems (Baltic DB&IS 2012): tenth international Baltic conference on Databases and Information Systems : local proceedings, materials of doctoral consorcium, Vilnius, July 8-11, 2012

Published In

Year	Start Page	End Page
2012	197	201

Publisher

Vilnius : Žara, 2012

Extent

p. 197-201

URI

URI	Access Rights
https://hdl.handle.net/20.500.14911/143223
Straipsnis	Viso teksto dokumentas (atviroji prieiga) / Full Text Document (Open Access)

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Keywords (en)

Abstract (en)

Automatic extraction of structured data from web pages is one of the key challenges for theWeb search engines to advance into the more expressive semantic level. Here we propose a novel data extraction method, called ClustVX. It exploits visual as well as structural features of web page elements to group them into semantically similar clusters. Resulting clusters reflect the page structure and are used to derive data extraction rules. The preliminary evaluation results of ClustVX system on three public benchmark datasets demonstrate a high efficiency and indicate a need for a much bigger up-to-date benchmark data set that reflects contemporary WEB 2.0 web pages.