Progress Semaphore Semantic AI Platform Helps Transform Government Data to Uncover New Business Opportunities

Industries:
Government
Products:
Semaphore

Challenge

With each government agency using its own vocabulary to describe solicitations such as bids and RFP’s, government contractors often miss opportunities because they typically search for leads using their products, services and industry terminology.

Solution

Deploy the Progress® Semaphore™semantic AI platform to transform fragmented government contracting information into actionable intelligence for buyers and sellers.

Result

A semantic model consisting of more than 4,000 concepts to describe goods and services helps the contractor more rapidly identify relevant opportunities.

Full Story

Challenge

The US government is the largest purchaser of goods and services in the world, accounting for more than $2 trillion each year. But cashing in on these opportunities isn’t easy. One of the biggest challenges that organizations face is uncovering opportunities that match their capabilities and corporate objectives.

The core problem is that each government agency describes solicitations such as bids, RFP’s, amendments, advance notices, awards, etc., using their own vocabulary while vendors search for leads using their products, services and industry terminology. The result: missed opportunities as simple keyword searches cannot resolve this diversity of language.

What’s needed is a solution to get more value from data by addressing vocabulary gaps and language ambiguity to find relevant information faster to drive new initiatives. 

Solution

One government organization applied sophisticated data science and semantic search technologies to transform fragmented government contracting information into actionable intelligence for buyers and sellers using the Progress® Semaphore™ semantic AI platform.

The data value chain provided by Semaphore engages state-of-the-art technologies for high-volume data capture, normalization algorithms, proprietary ontology, machine tagging, natural language searches and system integration. Today, customers have a higher volume of quality solicitation leads targeted to the products and services they provide and can leverage this information to improve their position and market share.

On a daily basis the system searches through information from 70,000 agencies and ingests more than 7,000 solicitations. As new solicitations are brought into the system, each asset is normalized, reviewed, analyzed and enriched with precise, complete and consistent metadata so that clients quickly discover relevant opportunities that match their products and services. Customers can search for solicitations using familiar language and receive qualified results without the need for multiple, restrictive keyword searches.

Result

The system employs a well-tested set of technologies and processes that bring the information their customers need to compete in the government sector. At the heart of the solution is a semantic model of more than 4,000 concepts, which describe the goods and services across more than 250 industry segments that governments buy on a regular basis. Supporting these concepts are a rich set of more than 65,000 synonyms, alternate spellings and multiple representations of the products and services their customers are searching for. The model is updated constantly as information scientists discover new purchasing categories and product and service offerings.

The Semaphore semantic AI platform is a key component in this solution. The Semaphore semantic modeling tool, Knowledge Model Management (KMM), provides a collaborative environment for information scientists to build and maintain their unique vocabulary. More than 250 new concepts - terms associated with the new technologies, services and products - are added to the model each month.

This provides customers with an up-to-date search experience that keeps pace with constantly changing trends.

Additionally, Semaphore Classification and Language Services (CLS) leverage the model and use natural language processing and sophisticated semantic strategies to apply precise, complete and consistent tags. It leverages complex strategies such as article splitting, filtering and exclusionary rules in the Semaphore platform to achieve precise results.

These sophisticated strategies combined with Semaphore’s Semantic Integration Services (SIS), which leverage the model and tags in the search process, help clients to immediately discover qualified opportunities for their industry and start the application process ahead of the competition.

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