SEDA: a system for search, exploration, discovery, and analysis of XML Data

Keyword search in XML repositories is a powerful tool for interactive data exploration. Much work has recently been done on making XML search aware of relationship information embedded in XML document structure, but without a clear winner in all data and query scenarios. Furthermore, due to its imprecise nature, search results cannot easily be analyzed and summarized to gain more insights into the data. We address these shortcomings with SEDA: a system for Search, Exploration, Discovery, and Analysis of XML Data. SEDA is based on a paradigm of search and user interaction to help users start with simple keyword-style querying and perform rich analysis of XML data by leveraging both the content and structure of the data. SEDA is an interactive system that allows the user to refine her query iteratively to explore the XML data and discover interesting relationships. SEDA first employs a top-k algorithm to compute the most relevant top-k answers fast, and returns tuples of nodes ranked by...

• Type: Journal
• Year: 2008
• Where: PVLDB
• Authors: Andrey Balmin, Latha S. Colby, Emiran Curtmola, Quanzhong Li, Fatma Özcan, Sharath Srinivas, Zografoula Vagena
• Keywords: PVLDB 2008, Query Terms, XML Data, XML Document Structure