Affiliation:
1. The Hong Kong University of Science and Technology and Hong Kong Polytechnic University
2. Hong Kong Polytechnic University
3. The Hong Kong University of Science and Technology
Abstract
Exploratory search is a search paradigm that plays a vital role in databases, data mining, and information retrieval to assist users to get familiar with the underlying databases. It supports iterative query formulation to explore the data space. Despite its growing importance, exploratory search on graph-structured data has not received adequate attention in the literature. In this paper, we demonstrate a novel system called Vincent that facilitates an efficient exploratory subgraph search in a graph database containing a large collection of small or medium-sized graphs. By automatically generating the content for panels in GUI and diversified patterns from databases and providing a visual result explorer, Vincent supports data-driven visual query formulation, incremental subgraph processing, and efficient query result summarization.
Publisher
Association for Computing Machinery (ACM)
Subject
General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development
Reference14 articles.
1. White R W , Roth R A . Exploratory search: Beyond the query-response paradigm. Synthesis lectures on information concepts, retrieval, and services, 1(1): 1--98 , 2009 . White R W, Roth R A. Exploratory search: Beyond the query-response paradigm. Synthesis lectures on information concepts, retrieval, and services, 1(1): 1--98, 2009.
2. Adaptive visualization for exploratory information retrieval
3. MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces
4. Overview of Data Exploration Techniques
5. PICASSO
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