| SIS Research Area - Data Management & Analytics
Research Theme
Central Concerns and Questions
We conduct research on exploratory search that involves users performing complex information seeking tasks to meet their research and investigative needs. Exploratory search tends to be iterative in nature, covering multiple facets of information as well as requiring much cognitive processing of intermediate search results. Such requirement is usually not well supported by the standard search engines.
Emerging Ideas and Initiatives
Our main idea is to develop a novel data model to analyse relationships among logical entities as the basic units of information in exploratory search. Our data model, known as TUBE, is designed to explore entities and their relationships derived from a collection of text or semi-structured documents using a series of search queries. At present, exploratory search tasks are not well supported by existing search engines due to the limitations of existing information retrieval models in modeling entity and relationship information. TUBE therefore provides multidimensional table structure to represent entity relationship networks in exploratory search and a set of operations to allow users to identify and refine interesting entities and relationships.
Selected Publications
[1] Hady Wirawan Lauw, Ee-Peng Lim, Hweehwa Pang. TUBE (TextcUBE) for Discovering Documentary Evidence of Associations among Entities. ACM Symposium of Applied Computing (SAC2007), Seoul Korea , March 2007.
[2] Hanbo Dai, Ee-Peng Lim, Hady Wirawan Lauw, Hweehwa Pang.Visual Analytics for Supporting Entity Relationship Discovery on Text.Pacific Asia Workshop on Intelligence and Security Informatics (PAISI2008), Taipei, June 2008.
Collaborations and Industry Linkages
- Gary Marchionini, University of North Carolina at Chapel Hill
- Hady Wirawan Lauw, A*Star/Now at Microsoft Research Search Technologies
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