Semantic data modelling and visualization using Noetica
Data(s) |
01/06/2000
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Resumo |
Noetica is a tool for structuring knowledge about concepts and the reIationships between them. It differs from typical information systems in that the knowledge it represents is abstract, highly connected, and includes meta-knowledge (knowledge about knowledge). Noetica represents knowledge using a strongly typed graph data model. By providing a rich type system it is possible to represent conceptual information using formalized structures. A class hierarchy provides a basic classification for all objects. This allows for a consistency of representation that is not often found in `free' semantic networks, and gives the ability to easily extend a knowledge model while retaining its semantics. Visualization and query tools are provided for this data model. Visualization can be used to explore complete sets of link-classes, show paths while navigating through the database, or visualize the results of queries. Noetica supports goal-directed queries (a series of user-supplied goals that the system attempts to satisfy in sequence) and pathfinding queries (where the system finds relationships between objects in the database by following links). |
Identificador | |
Idioma(s) |
eng |
Publicador |
Elsevier BV |
Relação |
http://dro.deakin.edu.au/eserv/DU:30044269/venkatesh-semanticdata-2000.pdf http://dx.doi.org/10.1016/S0169-023X(00)00003-3 |
Direitos |
2000 Elsevier Science B.V. |
Palavras-Chave | #knowledge representation #graph traversal #data visualisation |
Tipo |
Journal Article |