SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
P-Rank: a comprehensive structural similarity measure over information networks
Proceedings of the 18th ACM conference on Information and knowledge management
Faceted Search
Increasing patient safety using explanation-driven personalized content recommendation
Proceedings of the 1st ACM International Health Informatics Symposium
An authorization model for entity search
Proceedings of the 1st international workshop on Search and mining entity-relationship data
An authorization model for entity search
Proceedings of the 1st international workshop on Search and mining entity-relationship data
Towards expressive exploratory search over entity-relationship data
Proceedings of the 21st international conference companion on World Wide Web
Bridging the gaps towards advanced data discovery over semi-structured data
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Computer Methods and Programs in Biomedicine
Journal of Web Engineering
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In this demo we shall present the IBM Patient Empowerment System (PES), and more specifically, its social-medical discovery sub-system. Social and medical data are represented using entities and relationships and are explored using a combination of expressive, yet intuitive, query language, faceted search, and ER graph navigation. While this demonstration focuses on the healthcare domain, the underlining search technology is generic and can be utilized in many other domains. Therefore, this demo has two main contributions. First, we present a novel entity-relationship indexing and retrieval solution, and discuss its implementation challenges. Second, the demonstration depicts a practical entity-relationship discovery technology in a real domain setting within a real IBM system.