Communications of the ACM - Special issue on parallelism
The structure-mapping engine: algorithm and examples
Artificial Intelligence
Analog retrieval by constraint satisfaction
Artificial Intelligence
On a relation between graph edit distance and maximum common subgraph
Pattern Recognition Letters
A New Algorithm for Error-Tolerant Subgraph Isomorphism Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
The handbook of brain theory and neural networks
Localized versus distributed representations
The handbook of brain theory and neural networks
Error Correcting Graph Matching: On the Influence of the Underlying Cost Function
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Replicator equations, maximal cliques, and graph isomorphism
Neural Computation
A graph distance metric combining maximum common subgraph and minimum common supergraph
Pattern Recognition Letters
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Connectionist inference models
Neural Networks
XML Data Management: Native XML and XML Enabled DataBase Systems
XML Data Management: Native XML and XML Enabled DataBase Systems
Representation and Processing of Structures with Binary Sparse Distributed Codes
IEEE Transactions on Knowledge and Data Engineering
Using k-d Trees to Improve the Retrieval Step in Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Binary Spatter-Coding of Ordered K-Tuples
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Context Vectors: A Step Toward a "Grand Unified Representation"
Hybrid Neural Systems, revised papers from a workshop
Structural Similarity as Guidance in Case-Based Design
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Holographic Reduced Representation: Distributed Representation for Cognitive Structures
Holographic Reduced Representation: Distributed Representation for Cognitive Structures
Distributed representations and nested compositional structure
Distributed representations and nested compositional structure
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology (Lecture Notes in Computer Science, 1612.)
Pattern Vectors from Algebraic Graph Theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Properties of Numeric Codes for the Scheme of Random Subspaces RSC
Cybernetics and Systems Analysis
Graph-Theoretic Techniques for Web Content Mining
Graph-Theoretic Techniques for Web Content Mining
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Companion cognitive systems: a step toward human-level AI
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Time of searching for similar binary vectors in associative memory
Cybernetics and Systems Analysis
A Riemannian approach to graph embedding
Pattern Recognition
Efficient Suboptimal Graph Isomorphism
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Examples in legal reasoning: legal hypotheticals
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Analogical reasoning for reuse of object-oriented specifications
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Measuring the similarity of labeled graphs
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Graph embedding in vector spaces by means of prototype selection
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
Experience management: foundations, development methodology, and internet-based applications
Experience management: foundations, development methodology, and internet-based applications
Analogical and case-based reasoning for predicting satellite task schedulability
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Randomized projective methods for the construction of binary sparse vector representations
Cybernetics and Systems Analysis
Simulation-Based graph similarity
TACAS'06 Proceedings of the 12th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Graph matching by relaxation of fuzzy assignments
IEEE Transactions on Fuzzy Systems
A general framework for adaptive processing of data structures
IEEE Transactions on Neural Networks
Permutation Coding Technique for Image Recognition Systems
IEEE Transactions on Neural Networks
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We present an approach to similarity-based retrieval from knowledge bases that takes into account both the structure and semantics of knowledge base fragments. Those fragments, or analogues, are represented as sparse binary vectors that allow a computationally efficient estimation of structural and semantic similarity by the vector dot product. We present the representation scheme and experimental results for the knowledge base that was previously used for testing of leading analogical retrieval models MAC/FAC and ARCS. The experiments show that the proposed single-stage approach provides results compatible with or better than the results of two-stage models MAC/FAC and ARCS in terms of recall and precision. We argue that the proposed representation scheme is useful for large-scale knowledge bases and free-structured database applications. © 2012 Wiley Periodicals, Inc.