专利名称：AUTOMATIC ONTOLOGY GENERATION发明人：Michael Cobbett,Jonathan Limburn,Martin
Oberhofer,Scott Schumacher,Olena Woolf
申请号：US15386812申请日：20161221
公开号：US20180173795A1公开日：20180621
专利附图：
摘要：An ontology is automatically generated for a set of data from multiple datasources. A semantic network of known concepts serves as an ontology template for atarget domain of knowledge with known concepts defined as base entity types. Logical
groupings of data and associated technical metadata are read from the data sources.Data discovery techniques are applied to detect semantic and/or syntactic classificationof data attributes in the logical groupings of data. For each of the logical groupings ofdata, an entity type with properties for the data attributes are generated and thegenerated entity type is added to the semantic network with classifications of theproperties as derived from the applied data discovery techniques. Semantic meanings ofthe generated entity types are generated and associated with other entity types withinthe semantic network and the semantic network is output as a resultant ontology for theset of data.
申请人：International Business Machines Corporation
地址：Armonk NY US
国籍：US
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