Over emphasis on Description Logics (RDFS, OWL, Inference
& Reasoning etc) matters without any actual real-world instance
data (e.g., lot's of reasoning over RDF in
zip files or local drives).
Over emphasis on Instance Data without Data Dictionary
appreciation and utilization (e.g., Linked Data instance level linkage via
Here we are dealing with numerous applications and frameworks
that inextricably bind Instance Data Management and Data
Dictionaries. Basically, an all or nothing proposition, if you want
to delve into the RDF Linked Data solutions realm.
Often overlooked, is the fact that the Linked Data Web - as an aspect of the Semantic Web innovation continuum - is
fundamentally about designing and constructing an "Open World" compatible DBMS for the Internet. Thus, erstwhile "Closed World" DBMS components such as Data
Dictionaries (handlers of Data Definition, Referential Integrity
etc.) and actual Instance Data, are now distributed and loosely
coupled. Thus, your data could be in one Data Space while the data dictionary resides
in another. In actual fact, you could have several loosely bound
data dictionaries that serve the specific Inference and Reasoning
needs of a variety of applications, services, or agents.
About this entry:
Author: Kingsley Uyi Idehen
Published: 09/27/2008 15:14 GMT-0500
Modified: 09/28/2008 15:18 GMT-0500
Tags: rdf , semanticweb , web30 , DataSpace
Categories: Semantic Web
Comment Status: 0
This document is empty and basically useless. It is generated by a web service that can make some statements in HTML Microdata format.
This time the service made zero such statements, sorry.