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Rob Freeman wrote: >Do you mean dynamic in the sense of constant total > re-interpretation, or only in the sense that new > meanings can be added incrementally?By dynamic I mean all of the following interpretations: 1- Hasti learns ontology elements (which I call Ontels and consists of concepts, relations and axioms) incrementally. It may add new ontels, change and modify existing ontels or delete ones by learning more and more. In other words it learns in a non monotonic manner. Receiving new texts and new knowledge may cause it to re-interprete what it knows. 2- Hasti tries to find knowledge about what it needs to know. As it is mentioned in section 4.2.2 it may generate tests to extract or prove paradigmatic similarities between two concepts. The tests may be evaluated by a human or be searched for in the future texts.so Hasti can read texts with the aim of finding an answer to its questions. 3- As the paper describes the world can be conceptualized from several different perspectives and we may have various views of concepts and relations and so various ontologies. A system may contain all or some of these viewpoints in the same time and use any one on demand. This property have been considered in the design of Hasti. Suppose your ontology as a graph with different colored weighted nodes and links. each color may be the representative for a perspective or for a domain and weights show the importance or relevance factor of the ontel to that perspective or domain. when you use the ontology in a specific domain or specific perspective or even specific ideology, you can just see the corresponding colors. or if you suppose them to be linked by various threads it seems like you drag a thread and all linked ontels to the thread remains and others will fall. the remained ontols (linked by the thread) are the needed ontology for your task. This idea is under development in Hasti. Regards Mehrnoush Shamsfard |