
doi: 10.1109/icsc.2016.36
Integration of products in enterprises comes with hard challenges due to several factors such as products developed in house, off the shelf, developed over different time lines, available as services over internet, ever changing product APIs, disconnected data models among the products, extensions developed by partners and customers and many more. We propose Semantic Data Platform (SDP), built around the semantics of the information derived out of product integration. This approach of semantic model based data sharing provides extreme loose coupling among products, makes extension of information from a given product possible with zero impact on rest of the system. Easy certification of integration enables evolution of products fairly independent of each other. SDP offers semantic federation and querying, therefore it can fetch any data irrespective of the product where the data lives. Thus, 'Any Data from a product can be offered as a Service'.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
