Detail publikace

Cluster-based Page Segmentation - a fast and precise method for web page pre-processing

Originální název

Cluster-based Page Segmentation - a fast and precise method for web page pre-processing

Anglický název

Cluster-based Page Segmentation - a fast and precise method for web page pre-processing

Jazyk

en

Originální abstrakt

Segmenting a web page may be one of initial steps of information retrieval or content classification performed on that page. While there has been an extensive research in this area, the approaches usually focus either on performance or quality of the results. Vision based segmentation is one of the quality focused methods, which are considerably slow. This paper proposes an approach for boosting the performance of vision based algorithms. Our approach is based on concepts of modern web and a very common scenario in which an entire web site is processed at once. In this scenario, a great amount of performance boost can be gained by isomorphic mapping of previous results gathered from pages within the site to other pages on the same site. We provide the results of experiments performed on VIPS, the most common algorithm for page segmentation.

Anglický abstrakt

Segmenting a web page may be one of initial steps of information retrieval or content classification performed on that page. While there has been an extensive research in this area, the approaches usually focus either on performance or quality of the results. Vision based segmentation is one of the quality focused methods, which are considerably slow. This paper proposes an approach for boosting the performance of vision based algorithms. Our approach is based on concepts of modern web and a very common scenario in which an entire web site is processed at once. In this scenario, a great amount of performance boost can be gained by isomorphic mapping of previous results gathered from pages within the site to other pages on the same site. We provide the results of experiments performed on VIPS, the most common algorithm for page segmentation.

BibTex


@inproceedings{BUT106483,
  author="Jan {Zelený} and Radek {Burget}",
  title="Cluster-based Page Segmentation - a fast and precise method for web page pre-processing",
  annote="Segmenting a web page may be one of initial steps of information retrieval or
content classification performed on that page. While there has been an extensive
research in this area, the approaches usually focus either on performance or
quality of the results. Vision based segmentation is one of the quality focused
methods, which are considerably slow. This paper proposes an approach for
boosting the performance of vision based algorithms. Our approach is based on
concepts of modern web and a very common scenario in which an entire web site is
processed at once. In this scenario, a great amount of performance boost can be
gained by isomorphic mapping of previous results gathered from pages within the
site to other pages on the same site. We provide the results of experiments
performed on VIPS, the most common algorithm for page segmentation.",
  address="Association for Computing Machinery",
  booktitle="The Third International Conference on Web Intelligence, Mining and Semantics",
  chapter="106483",
  doi="10.1145/2479787.2479792",
  edition="NEUVEDEN",
  howpublished="online",
  institution="Association for Computing Machinery",
  year="2013",
  month="june",
  pages="1--12",
  publisher="Association for Computing Machinery",
  type="conference paper"
}