Titlebook: Uncertainty Reasoning for the Semantic Web I; ISWC International W Paulo Cesar G. Costa,Claudia d’Amato,Michael Pool Conference proceedings

Endearing

極深

Optimizing the Crisp Representation of the Fuzzy Description Logic ,mer type of knowledge, but they require an appropriate fuzzy language to be agreed and an important number of available resources to be adapted. This paper faces these problems by presenting a reasoning preserving procedure to obtain a crisp representation for a fuzzy extension of the logic . which

條街道往前推

heckle

Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approachon progressively finer granulations of objects. In many cases, seemingly crisp granulation disguises the fact that categories are based on loosely defined concepts that are better modelled by allowing graded membership. A related problem arises when different taxonomies are used, with different stru

tolerance

cumber

Reasoning with the Fuzzy Description Logic f-,: Theory, Practice and Applications could play a significant role in the improvement of many Semantic Web (SW) applications. Many of the tasks of SW like trust, matching, merging, ranking usually involve confidence or truth degrees that one requires to represent and reason about. Fuzzy DLs are able to represent vague concepts such as

Grating

Towards Machine Learning on the Semantic Webmats for the representation of both data and ontological background knowledge. Semantic Web standards are used to describe meta data but also have great potential as a general data format for data communication and data integration. Within a broad range of possible applications machine learning will

強(qiáng)所

EVADE

Hyaluronic-Acid