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E-AEC.COM SERVICES
Corporate Data Environment
During this ongoing evolution of the internet, the focus has been on connecting computers in collaborative networks and integrating the software in full life cycle enterprise systems. Although these developments have allowed entities to communicate with unprecedented speed and efficiency with customers, suppliers, employees, investors, etc. major problems exist. Decisions have to be made that cost effectively upgrade, integrate, or migrate legacy systems. Increasing regulatory compliance and client demands require IT systems to become better information collectors, processors, distributors and storages. In order to accomplish this mission the industry is faced with the fact that most computers cannot look at a file and understand its meaning.
With the dramatic increase in data managed in corporate and government intranets and systems, billions of dollars is lost due to computers inability to understand. Current search strategies are based on a free text methodology. A “user” enters a search query consisting of one or more words, and the search returns details of pages that contain those words. Generally the data that is searched is partially composed of data previously harvested by a particular search company. A typical search can contain hundreds to thousands of pages; and a majority of these will be of little value to the user. Words have different contextual meanings and current search strategies are not able to decipher competing meanings.
The introduction of the Semantic Web is one solution which will facilitate computers ability to exchange, lookup and concur upon the meaning of file data. The Semantic Web is a set standards and conventions which allow computers to exchange, look-up, and agree on the meaning of words. Although the Semantic Web is a product of the World Wide Web, its standards and conventions are migrating into intranets and closed data bases.
With the spread of the Semantic Web, an opportunity exists for the deployment of much more sophisticated techniques for categorizing file data and for developing intelligent search vehicles. The future of online content and content held within or for an organization will be to enable the content with semantic ontologies so that software applications will be able to accomplish tasks with that content that were either onerous, impractical or too expensive to do with human tasking.
If your organization was impacted by the introduction of the internet or by enterprise solutions, it will be equally affected by the deployment of Semantic ontologies. The implications are far reaching. In today's marketplace where corporate mergers are commonplace, databases and knowledge systems are seldom compatible. The implementation of standards and conventions will facilitate greater integration across platforms and databases. In the area of content management standardization will facilitate cost savings in the ability to know what information is contained in which locations.
Now is the correct time to ensure that your data and files are being managed in a way which will lower your future costs. As more applications adopt Semantic Web based tool sets, data will not have to be re-categorized. The return on investment for implementing Intelligent Content Management processes is demonstrable. Noemic Engineering consultants would like to show you how you can save money by integrating ontological meta data into your software systems.
Services
- Analysis of Operations
- Requirement Analyses
- Recommendations on Processes
- Assistance in Software Acquisition
- Assistance in Software Installation
- Assistance in Server Integration
- Customization of Software
- Training
- Support
- Database Management
- Metadata Taxonomies
- Development of Geospatial Search Tools
- Collaboration Integration
- Portal Design
- Enterprise Content Management
- Records Management
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