SEMLEX-A Framework for Visually Exploring Semantic Query Log Analysis

MAZUMDAR, Suvodeep, ELBEDWEIHY, Khadija, CANO, Amparo E, WRIGLEY, Stuart N and CIRAVEGNA, Fabio (2011). SEMLEX-A Framework for Visually Exploring Semantic Query Log Analysis. International Semantic Web Conference - Poster and Demo session.

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With organisations, local bodies and governments now releasing large amounts of linked data, there is a great opportunity for users and software agents to look for structured information, serving their information needs. Query logs, preserving such information needs can be harvested to understand what linked data consumers are looking for. Though statistical analysis of such query logs have been employed over the years to improve performance, visualising such analyses can provide a different way of exploration that could be invaluable to researchers, developers and linked data providers for discovering hidden trends and patterns. This paper presents our approach to analyse query logs and introduces SEMLEX, a tool that facilitates visual exploration of semantic query log analysis.

Item Type: Article
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Depositing User: Suvodeep Mazumdar
Date Deposited: 30 Jan 2018 15:41
Last Modified: 18 Mar 2021 10:15

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