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Relational clustering with heterogeneous data objects has impact in various important applications, such as web mining, text mining and bioinformatics etc. In this paper, we build a star-structured general model for relational clustering. It is formulated as an orthogonal tri-nonnegative matrix factorization. The model performs matrix approximation among all different data types to look for hid...

We propose a method combining relational-logic representations with deep neural network learning. Domain-specific knowledge is described through relational rules which may be handcrafted or learned. The relational rule-set serves as a template for unfolding possibly deep neural networks whose structures also reflect the structure of given training or testing examples. Different networks corresp...

We present a novel approach for supporting Composite Objects (CO) as an abstraction over the relational data. This approach brings the advanced CO model to existing relational databases and applications, without requiring an expensive migration to othcr DBMSs which support CO. The concept of views in relational DBMSs (RDBMS) gives the basis for providing the CO abstraction. This model is strict...

Information technology, especially social media, has fundamentally changed the way of firm-customer interactions and has shifted more power to customers. Although an increasing number of firms are aware of increased customer power and the importance of co-creation, how to convert customer power into value of co-creation is unclear. In order to fill this gap in the literature, drawing on social ...

Event schema which comprises a set of related events and participants is of great importance with the development of information extraction (IE) and inducing event schema is prerequisite for IE and natural language generation. Event schema and slots are usually designed manually for traditional IE tasks. Methods for inducing event schemas automatically have been proposed recently. One of the fu...

We provide uniform and invertible logical rules in a framework of relational hypersequents for the three fundamental t-norm based fuzzy logics i.e., Łukasiewicz logic, Gödel logic, and Product logic. Relational hypersequents generalize both hypersequents and sequents-of-relations. Such a framework can be interpreted via a particular class of dialogue games combined with bets, where the rules re...

Multi-relational networks are ubiquitous in many fields such as bibliography, twitter, and healthcare. There have been many studies in the literature targeting at discovering communities from social networks. However, most of them have focused on single-relational networks. A hint of methods detected communities from multi-relational networks by converting them to single-relational networks fir...