With the growing popularity of XML as the data representation language, collections of the XML data are exploded in numbers. The methods are required to manage and discover the useful information from them for the improved document handling. We present a schema clustering process by organising the heterogeneous XML schemas into various groups. The methodology considers not only the linguistic and the context of the elements but also the hierarchical structural similarity. We support our findings with experiments and analysis
Abstract. Every day more digital data in semi-structured format are available on the World Wide Web,...
This chapter discusses existing approaches to evaluate and measure structural similarity in sources ...
This paper proposes a novel Hybrid Clustering approach for XML documents (HCX) that first determines...
With the growing popularity of XML as the data representation language, collections of the XML data ...
In the last few years we have observed a proliferation of approaches for clustering XML docu-\ud men...
This paper presents the incremental clustering algorithm, XML documents Clustering with Level Simila...
The large amount and heterogeneity of XML documents on the Web require the development of clustering...
In the last few years we have observed a proliferation of approaches for clustering XML documents an...
This paper proposes a clustering approach that explores both the content and the structure of XML do...
Abstract. This work explores the application of clustering methods for grouping structurally similar...
We present a novel clustering algorithm to group the XML documents by similar structures. We introdu...
This work explores the application of clustering methods for grouping structurally similar XML docum...
Abstract: Problem statement: To improve the performance of data retrieval in a homogeneous large XML...
This paper proposes a novel approach to measuring XML document similarity by taking into account the...
This chapter discusses existing approaches to evaluate and measure structural similarity in sources ...
Abstract. Every day more digital data in semi-structured format are available on the World Wide Web,...
This chapter discusses existing approaches to evaluate and measure structural similarity in sources ...
This paper proposes a novel Hybrid Clustering approach for XML documents (HCX) that first determines...
With the growing popularity of XML as the data representation language, collections of the XML data ...
In the last few years we have observed a proliferation of approaches for clustering XML docu-\ud men...
This paper presents the incremental clustering algorithm, XML documents Clustering with Level Simila...
The large amount and heterogeneity of XML documents on the Web require the development of clustering...
In the last few years we have observed a proliferation of approaches for clustering XML documents an...
This paper proposes a clustering approach that explores both the content and the structure of XML do...
Abstract. This work explores the application of clustering methods for grouping structurally similar...
We present a novel clustering algorithm to group the XML documents by similar structures. We introdu...
This work explores the application of clustering methods for grouping structurally similar XML docum...
Abstract: Problem statement: To improve the performance of data retrieval in a homogeneous large XML...
This paper proposes a novel approach to measuring XML document similarity by taking into account the...
This chapter discusses existing approaches to evaluate and measure structural similarity in sources ...
Abstract. Every day more digital data in semi-structured format are available on the World Wide Web,...
This chapter discusses existing approaches to evaluate and measure structural similarity in sources ...
This paper proposes a novel Hybrid Clustering approach for XML documents (HCX) that first determines...