The Solution

The agency partnered with EK to develop a knowledge graph-powered semantic recommendation engine with a custom front-end. Based on the use case we refined for construction site project planners, we redesigned the agency’s applicable taxonomies and developed an ontology that defined relationships to model the recommendation journey from the user’s inputs of construction site elements to the expected outputs of risks and regulations. With data loaded into the graph from taxonomy values and structured historical data, EK leveraged machine learning (ML) and natural language processing (NLP) techniques to extract data from the agency’s large volume of structured data and generate risk recommendations from user input combinations. EK iterated upon these processes to enrich the data and fine tune the risk prediction models to achieve even more accurate results. Then, based on low-fidelity wireframes collaboratively developed and validated by the client, EK’s software engineers created an interactive front-end for users to view the results and provide feedback, and ultimately deployed the application on cloud infrastructure. 

Lastly, in addition to the design and development of the initial POC, EK collaborated closely with the client to assess future uses for the application, as well as methods for improving performance and utility. Potential paths for improving the application include developing user feedback mechanisms, expanding the dimensions of analysis for work sites, and expanding the scope of the application to support additional use cases. EK provided the agency with clear recommendations for next steps and paths forward to build upon the POC and further optimize construction site design and planning. 

The EK Difference

EK employed its extensive experience in taxonomy design, ontology design, and data science with specific expertise in the development of recommender systems to capture and model the semantic content of the construction safety domain. Throughout the engagement, EK prioritized close collaboration with the client’s core project team and involved their subject matter experts and stakeholders in taxonomy, ontology, and wireframe design sessions, iteratively soliciting their feedback and domain knowledge to ensure the final product would properly reflect the language and subject matter for the agency’s use case. EK also provided transparency into the development of the recommender, providing thorough technical walkthroughs of the solution. This ensured the agency had all the knowledge required to make informed decisions regarding next steps to scale the solution following the end of our engagement.

The Results

The graph-powered recommender solution delivered at the end of the engagement was a compelling POC for the client to consider for long-term application and scale. The recommendation engine provided coherent recommendations in a centralized location to reduce manual efforts for end users and displayed related regulations and supporting metrics to facilitate context-based, data-driven decision-making for construction site planners at the agency. The tailored roadmap to refine and expand the solution offered clear guidance for further data and system improvements to increase the overall utility of the recommender. With this POC and the accompanying roadmap, the agency has a tangible and effective solution with a path to scale to achieve widespread buy-in from across the organization and address more complex use cases in order to maximize the value of the recommender. 

This project was an example of EK’s Knowledge Graph Accelerator offering, delivering the POC to the client in 4 months. 

 

Download Flyer

 

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What Can Knowledge Graphs Do for You?

Download the Knowledge Graph Accelerator Brochure

A knowledge graph orchestrates data in a way that represents how humans think about information. Common use cases include:

• Findability and discovery – Understand the meaning and context behind searched terms as opposed to just executing queries
• Knowledge and data management – integrate structured, semi-structured and unstructured information into your data model to surface knowledge
• Data analytics – Connect your data with a more flexible model and find insights hidden in relationships.

Outcomes

EK’s Knowledge Graph Accelerator can help your organization: 

• Better understand the foundations of knowledge graphs, including graph data model, data mapping, and data management
• Design a first implementable version (FIV) knowledge graph leveraging a graph-based data management solution that can be scaled and enhanced
• Identify a strategy for your organization to make Enterprise AI a reality

There are three sizes of Knowledge Graphs Accelerator engagements that are built to fit your organization’s budget and needs (see attached flyer for more). Interested in accelerating your knowledge graph? Contact us here.

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Enterprise Knowledge (EK), the world’s largest dedicated knowledge and information management consulting firm, announced the launch of the Knowledge Graph Accelerator today, a mechanism to establish an organization’s first knowledge graph solution in a matter of weeks. In partnership with data.world, the knowledge graph-based enterprise data catalog, organizations will be able to rapidly unlock use cases such as Employee, Product, and Customer 360, Advanced Analytics, and Natural Language Search. 

“Knowledge Graphs are a critical component necessary to achieve Enterprise AI, but most organizations need a quick and scalable way to understand and experience the value,” said Lulit Tesfaye, Practice Lead of Data and Information Management at EK. “EK, in partnership with data.world, is creating a holistic solution to make building Enterprise AI intuitive using knowledge graphs, from data modeling and storage to enrichment and governance. Having this end-to-end consistency is critical for the success of knowledge graph products and setting the foundations for Enterprise AI.”

“EK has been at the leading edge of Knowledge Graph strategy, design, and implementation since our inception,” added Zach Wahl, CEO of EK. “Our thought leadership in this field, combined with data.world’s advanced capabilities, creates an exciting opportunity for organizations to feel the impact and realize the benefits quickly and meaningfully.”

Gartner predicts that graph technologies will be leveraged in over 80% of innovations in data and analytics by 2025, but many organizations find the business and technical complexities of graph design and implementation to be daunting. The Knowledge Graph Accelerator addresses the need to develop a practical, standards-based roadmap and prototype to quickly realize the potential of knowledge graphs. 

Through the Knowledge Graph Accelerator, organizations will get the following outcomes in less than 2 months:

• An understanding of the foundations of knowledge graphs, including graph data modeling, data mapping, and data management;
• A first implementable version (FIV) knowledge graph that can be scaled and enhanced;
• A pilot version of your graph solution leveraging the knowledge graph-based data management solution data.world and gra.fo; and
• A strategy for your organization to make Enterprise AI a reality. 

“Enterprises need to understand and trust the data powering their analytics while generating meaningful insights. But supporting different data sources and use cases, while analyzing and traversing changes to metadata and automating relationships can be challenging,” said Dr. Juan Sequeda, Principal Scientist at data.world. “Knowledge graphs are foundational for an effective and future proof data catalog, as well for next generation AI and analytics .”

To learn more, explore our approach and what your organization will get through the Knowledge Graph Accelerator. Also, reach out to Enterprise Knowledge to learn how to unlock the use cases that are most valuable to your enterprise. 

On September 29th, 2021,  Enterprise Knowledge will participate in the virtual data.world fall summit. Additional keynote speakers include Zhamak Dehghani, Barr Moses, Doug Laney, and Jon Loyens. 

About Enterprise Knowledge 

Enterprise Knowledge (EK) is a services firm that integrates Knowledge Management, Information and Data Management, Information Technology, and Agile Approaches to deliver comprehensive solutions. Our mission is to form true partnerships with our clients, listening and collaborating to create tailored, practical, and results-oriented solutions that enable them to thrive and adapt to changing needs. At the heart of these services, we always focus on working alongside our clients to understand their needs, ensuring we can provide practical and achievable solutions on an iterative, ongoing basis. Visit enterprise-knowledge.com to see how optimizing your knowledge and data management will impact your organization.  

About data.world

data.world is the enterprise data catalog for the modern data stack. Our cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful knowledge graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than 1.3 million members, including 2/3 of the Fortune 500. Our company has 40 patents and has been named one of Austin’s Best Places to Work six years in a row. Follow us on LinkedIn, Twitter, and Facebook, or join us.

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