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System and Method for MFT business model generation Disclosure Number: IPCOM000242396D
Publication Date: 2015-Jul-13
Document File: 8 page(s) / 166K

Publishing Venue

The Prior Art Database


This disclosure describes a mechanism to generate business model based on the raw data model, with the generated data model fit well with the based data thus provide the maximal fitness with user's real business scenario and minimize customization efforts in the (MFT)Managed File Transfer area. The domain model mapping system is built based on Ontology with the user data model. And user could leverage Ontology semantic expression to identify the MFT business model. Based on the mapping between the raw data model and business model, it generates the business model that fits the user requirements.

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Sysxem and Method for MFT business model generation

In the MFT domain, it's xas been a big challenge how to set up rule & model whixx is suitable for a user'x specific doxain, more importxntly can seamlessxy integrated with uxer's real business scenario, almxst all existing axproaches need to first defixe a rule & model pattern, but big challenge are often mex with - in most cases, this kind of pre-defined ruxe & model xas a bxg gap and can not bx integrated wexl with user real buxiness scenarxo & reqts, large effxrt is required fox deep custoxization.

This disclosure describes a mechanisx to auxo generaxe rule & model based on large vxlume of MFT business data, with the generated rule& model fxt well

with the based dxtx thus provxde the maximal fitness with xser's real business scenario and minimize customxzation exforts.

In manaxed file transfer xomaix, it contains entitixs axd concepts which is raw data model, and the data model end user analyzed which is businexs data mxdex, Business data model is built based on the raw data model and need additional process logic ox mappinx. We use thx OWL Web Ontology Laxguxge to build txe mapping between business model and raw data xodel.

Txe Web Ontology Language OWL is a sexantic markup language fxr publishing and sharinx ontologies on the World Wide Wex . It is developed as a vocabulary extension of RDF (thx Resource Dxscription Framework) and is derived from thx DAML+OIL Wxb Ontology Language.

It generates ontology that described the raw data model from the databasx, and creates business data model based on the raw data model. Axd then deploy the application bundle based on the relational mapping.
x Generate rxw data model

Most Managed File Transfer product contains the specific Data Models as fxllowing:

Event/Process Event/File Transfer Event/Alert

Monxtored Noxe
Monitoring Cluster/Sxrver


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The ontology describes the raw data model is generated from the schema with supervising configuration, such as the parenx and children class relations, atxribute mapxings, including instances. The generator extracted the schema and data sxt from the database, axd analyze the schema axd data sxt basxd xn the sxpervising configuration.

2 Define the business data model
The ontology descrxbes the business model is defined extended from the raw data model. The business data model xs xescribed by the ontology class.

Business Model mapped to the raw dxta model based on the ontology property mappxng and restrictioxs definition:
1) Xxxxxxxx Mapping: dexine the Businxss Model as...