When we describe a Web page informally, we often use phrases like \it looks like a newspaper site", \there are several unordered lists" or \it's just a collection of links". Unfortunately, no Web search or classi cation tools provide the capability to retrieve information using such informal descriptions that are based on the appearance, i.e., structure, of the Web page. In this paper, we take ...

Most known methods for measuring the structural similarity of document structures are based on, e.g., tag measures, path metrics and tree measures in terms of their DOM-Trees. Other methods measures the similarity in the framework of the well known vector space model. In contrast to these we present a new approach to measuring the structural similarity of web-based documents represented by so c...

Most known methods for measuring the structural similarity of document structures are based on, e.g., tag measures, path metrics and tree measures in terms of their DOM-Trees. Other methods measures the similarity in the framework of the well known vector space model. In contrast to these we present a new approach to measuring the structural similarity of web-based documents represented by so c...

The paper proposed a secure technique for color images using DCTDWT technique and AES-128 bit Key encryption algorithm for improving security of system. Host image converted to YIQ after embedding using DWT. The quality of watermark measured by metrics such as; structural similarity (SSIM) and quaternion structural similarity (QSSIM).This improves traditional methods. Experimental results prove...

Identifying versions of the same song by means of automatically extracted audio features is a complex task to achieve using computers, even though it may seem very simple for a human listener. The design of a system to perform this job gives the opportunity to analyze which features are relevant for music similarity. This paper focuses on the analysis of tonal and structural similarity and its ...

This paper presents an approach to organizing folktales based on a data structure called a plot graph, which captures the narrative flow of events in a folktale. The similarity between two folktales can be computed as the structural similarity between their corresponding plot graphs. This is performed using the well-known Needleman-Wunsch algorithm. To test the efficacy of this approach, experi...

This paper deals with a novel computational approach that aims to measure the similarities of protein binding sites through comparison of atomic grid maps. The assessment of structural similarity between proteins is a longstanding goal in biology and in structure-based drug design. Instead of focusing on standard structural alignment techniques, mostly based on superposition of common structura...

In this paper, we study the problem of measuring structural similarities of large number of source schemas against a single domain schema, which is useful for enhancing the quality of searching and ranking big volume of source documents on the Web with the help of structural information. After analyzing the improperness of adopting existing edit-distance based methods, we propose a new similari...

In this paper, we describe issues related to the measurement of structural similarity between document images. We define structural similarity, and discuss the benefits of using it as a complement to content similarity for querying document image databases. We present an approach to computing a geometrically invariant structural similarity, and use this measure to search document image database...

In this paper, we propose a hierarchical phrase alignment method that aims to acquire translation knowledge. Previous methods utilize the correspondence of sub-trees between bilingual parsing trees after determining the parsing result. The method described in this paper combines partial tree candidates, and selects the best sequence of partial trees. Then, a structural similarity measure (calle...