HTML block similarity estimation

Griazev, Kiril; Ramanauskaitė, Simona

doi:10.1109/AIEEE.2018.8592241

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/119734

HTML block similarity estimation

Details

Publication Type (CRIS)

Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)

Publication Type (eLABa)

Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB (P1a)

VILNIUS TECH Research Priorities and Topics

Informacijos ir informacinių technologijų sauga / Information and Information Technologies Security (IK0101)

Lithuanian Intelligent Specialization

Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies (L106)

Author(s)

Author	Affiliation
Griazev, Kiril	Informacinių technologijų katedra / Department of Information Technologies (1047)
Ramanauskaitė, Simona	Informacinių technologijų katedra / Department of Information Technologies (1047)

Title

HTML block similarity estimation

[en]

Kiril Griazev, Simona Ramanauskaitė

Is part of

2018 IEEE. 6th workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), November 8-10, 2018 Vilnius, Lithuania : proceedings / edited by: Dalius Navakauskas, Andrejs Romanovs, Darius Plonis

Published In

Year	Start Page	End Page
2018	1	4

Publisher

New York : IEEE, 2018

Referenced in Database(s)(DBs)

Conference Proceedings Citation Index - Science (Web of Science)

IEEE Xplore

SCOPUS

Extent

p. 1-4

URI

URI	Access Rights
https://hdl.handle.net/20.500.14911/119734
https://ieeexplore.ieee.org/document/8592241	Viso teksto dokumentas (prieiga prenumeratoriams) / Full Text Document (Access for Subscribers)

DOI

10.1109/AIEEE.2018.8592241

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Informatika / Informatics (N009)

Keywords (en)

Abstract (en)

Automatic data extraction is an important task but websites contain a lot of secondary information that has little value, because of this it is important to correctly identify information blocks. This can be done using various techniques one of which is HTML block comparison. It can be used to identify blocks by estimating their similarity score. This paper proposes an algorithm for HTML block similarity estimation using multiple methods: structure, structure and tag similarity, structure, tag and content similarity. Additionally, proposed algorithm is tested against other open source algorithms by analyzing the same data.