Abstract: A method and system for managing semantic and syntactic metadata. Heterogeneous data is received. After the heterogeneous data is received, the semantic metadata associated with the received heterogeneous data is captured and syntactic metadata associated with the received heterogeneous data is captured. The semantic metadata describes contextually relevant or domain-specific information about data based on an industry-specific or enterprise-specific metadata model or ontology. The syntactic metadata included grammatical rules and structural patterns governing an ordered use of formats and arrangement pertaining to specified data. The received heterogeneous data and said captured semantic metadata and said syntactic metadata are logically linked. The heterogeneous data is stored in a repository.

Abstract: An event management system that plays a central role in handling varying loads of metadata events from each of a large number of touch-points or data servers that come into a Data Centric computing environment. As a matter of distinction when compared to conventional method-centric computing environments, there is broadly contemplated herein the concept not of physically installing a software agent on a designated system as stationary entity, but of launching it in a distributed computing environment and permitting it to “roam” around the numerous data servers to ensure consistency, accuracy and currency between the data entities managed by multiple data servers and the metadata servers in a data-centric computing environment.

Abstract: A method and system for managing semantic and syntactic metadata. Heterogeneous data is received. After the heterogeneous data is received, the semantic metadata associated with the received heterogeneous data is captured and syntactic metadata associated with the received heterogeneous data is captured. The semantic metadata describes contextually relevant or domain-specific information about data based on an industry-specific or enterprise-specific metadata model or ontology. The syntactic metadata included grammatical rules and structural patterns governing an ordered use of formats and arrangement pertaining to specified data. The received heterogeneous data and said captured semantic metadata and said syntactic metadata are logically linked. The heterogeneous data is stored in a repository.

Abstract: A method for managing semantic and syntactic metadata. The method begins with receiving heterogeneous data from either a machine or a human. Next, the method captures the semantic metadata corresponding to the received heterogeneous data by means of a semantic template. Next, the method captures the syntactic metadata corresponding to the received heterogeneous data by means of a syntactic template. After capturing the semantic and syntactic metadata, the method logically links the received heterogeneous data with the captured semantic and syntactic metadata. Finally, the method stores the received heterogeneous data in a repository.

Abstract: A method for managing semantic and syntactic metadata. The method begins with receiving heterogeneous data from either a machine or a human. Next, the method captures the semantic metadata corresponding to the received heterogeneous data by means of a semantic template. Next, the method captures the syntactic metadata corresponding to the received heterogeneous data by means of a syntactic template. After capturing the semantic and syntactic metadata, the method logically links the received heterogeneous data with the captured semantic and syntactic metadata. Finally, the method stores the received heterogeneous data in a repository.

Abstract: An event management system that plays a central role in handling varying loads of metadata events from each of a large number of touch-points or data servers that come into a Data Centric computing environment. As a matter of distinction when compared to conventional method-centric computing environments, there is broadly contemplated herein the concept not of physically installing a software agent on a designated system as stationary entity, but of launching it in a distributed computing environment and permitting it to “roam” around the numerous data servers to ensure consistency, accuracy and currency between the data entities managed by multiple data servers and the metadata servers in a data-centric computing environment.