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Venkatesan Srinivasan

Publications -  6
Citations -  250

Venkatesan Srinivasan is an academic researcher. The author has contributed to research in topics: Software & Visual modeling. The author has an hindex of 5, co-authored 6 publications receiving 250 citations.

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Patent

Method for extracting, interpreting and standardizing tabular data from unstructured documents

TL;DR: In this paper, a system, method, and computer program for automatically identifying, parsing, and interpreting tabular data from unstructured documents stored in various formats such as ASCII text, Unicode text, HTML, PDF text, and PDF image format is provided.
Patent

Business process technology for the enterprise

TL;DR: In this article, a system, method and computer program that enables an application designer to automate the process of software development and develop business applications by modeling the constituent business process models is provided.
Patent

System and method for developing user interfaces purely by modeling as meta data in software application

TL;DR: In this article, a system, method and computer program that enables an application designer to automate the process of development of user interfaces (UIs) by modeling does not require any coding.
Patent

System and method for device developing model networks purely by modelling as meta-data in a software application

TL;DR: In this paper, the authors present a system, method and computer program that enables an application designer to automate the process of development of computational logic based applications by modeling, which does not require any coding.
Patent

System and method for determining the meaning of a document with respect to a concept

TL;DR: In this article, a computerized method for determining an impact of a document on the specific concept of interest is presented, which can be configured to identify a cluster of clauses or sentences from a plurality of semantically similar clauses of the document and determine one or more representative concepts for the cluster of the documents.