Why Semantics?

In order to succeed in business today, one has to read and analyze a tremendous amount of information. This includes reading news feeds, market reports, mailing lists or private e-mail, searching for information on the Internet, communicating with your colleagues, and so forth. The amount of information is overwhelming, and it soon becomes difficult – if not impossible -- to process it all. This phenomenon – information overload -- has a huge impact on our efficiency.

Individuals in companies around the world experience information overload. In an attempt to manage information, companies have instituted systems of knowledge management. These systems are designed to deal with a large volume of documents, including reports, articles, patents, and so on. But do these systems allow us to search, process, and manage information in a way that is truly useful to us? Are these systems making things better? Are we comfortable using them, and do they really solve the problem of information overload?

The most frequent answer to all these questions is No. But the problem of information overload is not in the amount of information but in the tools we use to handle that information. Knowledge management systems fail because they do not handle information in different formats and structures in a way that preserves the most important aspect of information - its meaning.

Using the semantic tools developed by EffectiveSoft, it is possible to transform knowledge management systems into systems that analyze and understand the meaning of information. A semantic approach provides the solution to the problem of information overload.

To save you time and effort, EffectiveSoft has developed intelligent tools that are highly effective in meaningful information search and data structuring. To enhance our solutions, we employ a semantic approach. This approach allows semantics-powered software to perform an analysis of the meaning of words in the text.

Our semantic approach has contributed to the development of such unique features as:

• Natural Language Query Statements
• Summarization
• Miscellaneous Usage Cases

Linguistic technologies make it possible for the computer to "understand" human language. This allows a user to communicate with search engines in the same way that people actually communicate with each other. Old, simplistic search engines required a user to transform his or her query into a number of keywords. Today, you can just ask the search engine a question, using natural language. Powered by modern linguistic technologies, the semantics-based search engine will provide you with results that have an extremely high degree of relevance to your question.

This solution, based on the semantic approach, allows you to work with large documents. You can make a summary of a text document and thus avoid having to read through its entire contents. You can see the results of summarization in our online Demo.

For implementation details on Information Retrieval, Natural Language Text Synthesis, Question-answering System, and other methods used in our products, see Solutions.