CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Journal of the American Society for Information Science
Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
MGV: A System for Visualizing Massive Multidigraphs
IEEE Transactions on Visualization and Computer Graphics
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Mediators over Ontology-Based Information Sources
WISE '01 Proceedings of the Second International Conference on Web Information Systems Engineering (WISE'01) Volume 1 - Volume 1
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)
Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)
ACM SIGKDD Explorations Newsletter
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction
IEEE Transactions on Visualization and Computer Graphics
Graph theoretic modeling of large-scale semantic networks
Journal of Biomedical Informatics
Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
Journal of Biomedical Informatics
Mining Heterogeneous Information Networks by Exploring the Power of Links
DS '09 Proceedings of the 12th International Conference on Discovery Science
Node Similarities from Spreading Activation
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Bisociative discovery of interesting relations between domains
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Link discovery in graphs derived from biological databases
DILS'06 Proceedings of the Third international conference on Data Integration in the Life Sciences
Computer Science Review
Towards creative information exploration based on koestler's concept of bisociation
Bisociative Knowledge Discovery
Node similarities from spreading activation
Bisociative Knowledge Discovery
Towards discovery of subgraph bisociations
Bisociative Knowledge Discovery
Bisociative discovery in business process models
Bisociative Knowledge Discovery
Hi-index | 0.00 |
The integration of heterogeneous data from various domains without the need for prefiltering prepares the ground for bisociative knowledge discoveries where attempts are made to find unexpected relations across seemingly unrelated domains. Information networks, due to their flexible data structure, lend themselves perfectly to the integration of these heterogeneous data sources. This chapter provides an overview of different types of information networks and categorizes them by identifying several key properties of information units and relations which reflect the expressiveness and thus ability of an information network to model heterogeneous data from diverse domains. The chapter progresses by describing a new type of information network known as bisociative information networks. This kind of network combines the key properties of existing networks in order to provide the foundation for bisociative knowledge discoveries. Finally based on this data structure three different patterns are described that fulfill the requirements of a bisociation by connecting concepts from seemingly unrelated domains.