A bag of paths model for measuring structural similarity in Web documents

Joshi, Sachindra; Agrawal, N K; Krishnapuram, Raghu; Negi, Sumit

doi:10.1145/956804.956822

Cited by 14 publications

(29 citation statements)

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“…(a) Featurebased: it counts the number of common features in graphs, namely, domain-specific elementary structures, e.g., root-leaf paths [18]. (b) Structure-based: it assesses the similarity of the topology of graphs based on simulation [17,12], subgraph isomorphism (common maximum subgraph) [27,30], or edit distance [31] (see [9,26] for surveys).…”

Section: Related Workmentioning

confidence: 99%

Graph homomorphism revisited for graph matching

Fan

et al. 2010

Proc. VLDB Endow.

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In a variety of emerging applications one needs to decide whether a graph G matches another Gp, i.e., whether G has a topological structure similar to that of Gp. The traditional notions of graph homomorphism and isomorphism often fall short of capturing the structural similarity in these applications. This paper studies revisions of these notions, providing a full treatment from complexity to algorithms. (1) We propose p-homomorphism (p-hom) and 1-1 p-hom, which extend graph homomorphism and subgraph isomorphism, respectively, by mapping edges from one graph to paths in another, and by measuring the similarity of nodes. (2) We introduce metrics to measure graph similarity, and several optimization problems for p-hom and 1-1 p-hom. (3) We show that the decision problems for p-hom and 1-1 p-hom are NP-complete even for DAGs, and that the optimization problems are approximation-hard. (4) Nevertheless, we provide approximation algorithms with provable guarantees on match quality. We experimentally verify the effectiveness of the revised notions and the efficiency of our algorithms in Web site matching, using real-life and synthetic data.

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Section: Related Workmentioning

confidence: 99%

Graph homomorphism revisited for graph matching

Fan

et al. 2010

Proc. VLDB Endow.

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“…A different source used to determine similarity is the structural layout of pages [3,8,14,27]. The rationale of structure-based approaches is that pages containing similar information would also have a similar structure [27], or a similar layout and look-and-feel [14].…”

Section: Related Workmentioning

confidence: 99%

“…The rationale of structure-based approaches is that pages containing similar information would also have a similar structure [27], or a similar layout and look-and-feel [14]. An approach that has utilised tag frequency information from web pages to determine their similarity is reported in [3].…”

Section: Related Workmentioning

confidence: 99%

“…They also stress the importance of combining different sources of evidence for the calculation of inter-page similarities. Other approaches that make use of the hierarchical structure of web pages to calculate similarities, include [14,27]. In such approaches a tree representation of the HTML structure of pages is used to calculate similarities.…”

Section: Related Workmentioning

confidence: 99%

“…Current similarity approaches typically use information from the hyperlink structure of web pages [5,9], the textual content of the pages [1,7], and from the structural layout of the pages [3,14,27]. A number of approaches combine different sources of information; the most typical combination is that of link and textual content [16,19,26].…”

Section: Introductionmentioning

confidence: 99%

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Factors Affecting Web Page Similarity

Tombros

Ali

2005

Lecture Notes in Computer Science

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Abstract. Tools that allow effective information organisation, access and navigation are becoming increasingly important on the Web. Similarity between web pages is a concept that is central to such tools. In this paper, we examine the effect that content and layout-related aspects of web pages have on web page similarity. We consider the textual content contained within common HTML tags, the structural layout of pages, and the query terms contained within pages. Our study shows that combinations of factors can yield more promising results than individual factors, and that different aspects of web pages affect similarities between pages in a different manner. We found a number of factors that, when taken into account, can result in effective measures of similarity between web pages. Query information in particular, proved to be important for the effective organisation of web pages.

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Classification of News Web Documents Based on Structural Features

Tongchim

Sornlertlamvanich

Isahara

2006

Advances in Natural Language Processing

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Abstract. The motivation of this work comes from the need of a Thai web corpus for testing our information retrieval algorithm. Two collections of news web documents are gathered from two different Thai newspaper web sites. Our goal is to find a simple yet effective method to extract news articles from these web collections. We explore the use of machine learning methods to distinguish article pages from non-article pages, e.g. table of contents, advertisements. Then, the selected web articles are compared in a fine-grained manner in order to find informative structures. Both steps of information extraction utilize the structural features of web documents rather than the extracted keywords or terms. Thus, the inherent errors of word segmentation, one of the major problems in Thai text processing, do not affect to this method.

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A bag of paths model for measuring structural similarity in Web documents

Cited by 14 publications

References 0 publications

Graph homomorphism revisited for graph matching

Graph homomorphism revisited for graph matching

Factors Affecting Web Page Similarity

Classification of News Web Documents Based on Structural Features

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