Technology

"Innovations for Better Search"

ExeCue is built on pioneering solutions in the areas of Artificial Intelligence, Statistics, Relational Databases and Reporting. Key innovations include:

1. knowledge base driven search
2. immediate results from both documents and databases
3. dynamic aggregation of database content to present graphical results

Can search engines deliver relevant results using knowledge base? What is knowledge? 

Next-generation search engines are widely expected to be semantic search technologies driven by natural language processing (NLP) or more broadly by knowledge base (KB). NLP and KB search engines are similar in that they both seek to understand meaning of a search query but they differ in their approach. NLP engines use natural language processing to understand meaning, while KB engines apply a broader suite of knowledge base with NLP being a potential part of it. It is most similar to how we as people understand the meaning of a sentence. To illustrate, while general purpose NLP engines may understand "customers who are delinquent", it takes someone from the credit industry to understand "customers who are 3 cycles delinquent" as it is industry or vertical knowledge that "1 cycle" means "one statement cycle" or "30 days".

Knowledge is such bits and pieces of information pulled together. It can be a business model. It can be terminology and rules. It can be industry/vertical specific or  general/universally applicable. Search engines driven by a broad knowledge base can offer the highest-quality results across verticals compared to Keyword or NLP driven engines. read more about knowledge base driven search and the future of search 

Google searches billions of web pages to respond in a fraction of a second and so can Yahoo, Ask, MSN and numerous other search portals. Why not from enterprise databases?

While all of them can deliver this phenomenal performance when searching documents, these search engine companies or even the major database companies can not deliver the same performance when searching databases. It should be more intriguing when you consider the fact that most enterprise databases are much smaller in size compared to the massive Internet search databases.

ExeCue delivers immediate answers even from very large databases. It is accomplished  by first building a catalog of cubes and datamarts called the Answers Catalog™. Its purpose is similar to that of web index of general internet search. Answers Catalog™ produces instantaneous or near real-time results instead of querying detailed level databases on demand. Second, Answers Catalog™ is kept optimal by tracking ongoing queries.

ExeCue has demonstrated across multiple client installations that it can deliver immediate answers to as many as 90% of queries to large enterprise databases.

Web search produces a plain listing of web pages. This may be fine with documents and is the norm. Will a raw listing of all databases records be ok?

If you are trying to interpret business trends, looking through detailed data is good enough when the data is limited. However it is not practical when reviewing large quantities of detailed data with thousands of records or more.

In such cases, detailed data must be aggregated to get succinct or manageable information. Relevant tabular and graphical presentations can then help convert this information into insight. ExeCue’s Reporting Engine is such a solution. It dynamically aggregates detailed information and presents multiple presentations based on user query and corresponding data. Aggregation is accomplished with or without metadata from query or data sources.