Logical Information Modeling of Web-Accessible Heterogeneous Digital Assets
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Unsupervised Discovery of Compound Entities for Relationship Extraction
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Relationship Web: Blazing Semantic Trails between Web Resources
IEEE Internet Computing
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Subject and object convey little without a verb and a few prepositions. Reducing this to the subject-predicate-object representation, subject and object convey little without predicate. Entities are lame without the relationships that associate meaning to them. Concepts can be quite ambiguous without context or domain of discourse. Labels and terms become meaningful when we associate them with a conceptual model or an ontology. Semantics is about meaning and understanding, and relationships are at the heart of semantics. And with semantics we can create more powerful search, achieve interoperability among heterogeneous and multimodal content, and develop more powerful analytic and discovery capabilities.