Element Retrieval using Namespace Based on keyword search over XML Documents
Yang Wang, Zhikui Chen, Xiaodi Huang

TL;DR
This paper introduces a namespace-based semantic similarity algorithm for XML element retrieval that improves accuracy and reduces computation time by considering semantic information in element namespaces.
Contribution
The paper proposes a novel algorithm that leverages namespace semantic information for efficient and accurate XML element retrieval, addressing limitations of existing similarity measures.
Findings
Improved query accuracy over traditional methods
Reduced running time in XML element search
Effective use of semantic namespace information
Abstract
Querying over XML elements using keyword search is steadily gaining popularity. The traditional similarity measure is widely employed in order to effectively retrieve various XML documents. A number of authors have already proposed different similarity-measure methods that take advantage of the structure and content of XML documents. They do not, however, consider the similarity between latent semantic information of element texts and that of keywords in a query. Although many algorithms on XML element search are available, some of them have the high computational complexity due to searching a huge number of elements. In this paper, we propose a new algorithm that makes use of the semantic similarity between elements instead of between entire XML documents, considering not only the structure and content of an XML document, but also semantic information of namespaces in elements. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Management and Algorithms · Semantic Web and Ontologies · Advanced Database Systems and Queries
