Semantic-based Merging of RSS Items

Abstract

Merging XML documents can be of key importance in several applications. For instance, merging the RSS news from same or different sources and providers can be beneficial for end-users in various scenarios. In this paper, we address this issue and explore the relatedness measure between RSS elements. We show here how to define and compute exclusive relations between any two elements and provide several predefined merging operators that can be extended and adapted to human needs. We also provide a set of experiments conducted to validate our approach.

Approximate XML structure validation based on document–grammar tree similarity

“…An extended study with detailed theoretical and experimental analyses has been recently proposed in [70]. -Quantifying the similarity and identifying the relations (i.e., inclusion, intersection, disjointness, and equality) among XML element content values, particularly among RSS items [60], developed toward RSS merging [59]. -Developing a filter-differencing framework for SOAP multicasting, identifying the common pattern and differences between SOAP messages, modeled as XML trees, to multicast similar messages together [71,72].…”

A visual programming language for XML manipulation

“…Additional functions are being embedded such as semantic filtering and XML similarity computations from both the structural and content side. These functions have been conceptualized and defined in [23,24].…”

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“…Recently, García et al [11] explored using the object-action interaction paradigm to improve the usability and accessibility of Web applications. Fusion of information from various sources has also been studied in different application scenarios such as [28,32,37]. However, none of them have addressed the problem of video clustering.…”