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Knowledge Graphs > Features
A knowledge graph, also known as a semantic network, represents a network of real-world entities - i.e. objects, events, situations, or concepts - and illustrates the relationship between them.

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2025 KMWorld Readers’ Choice Awards: Submit your nominations now!

It's time again to choose the best of the best for the KMWorld Readers' Choice Awards—the 2025 KMWorld Readers' Choice Awards nominations process is open through July 16th.

AI Trailblazer: Access Innovations, Inc. - Improving the ability to find and discover information

We have been implementing AI since 1997. We use its collection of techniques, applications, algorithms and models to make processing informational text faster, easier, more accurate, and less of a burden on humans.

AI Trailblazer: Enterprise Knowledge, LLC. - Bridging Knowledge Management, Data, and Artificial Intelligence

Our foundational success stems from bridging knowledge, information, and data management, enabling us to deliver highly functional and reliable semantic layer and AI initiatives for our clients.

AI 100 Trailblazer: Progress Software Empowers Businesses with Responsible AI Solutions

Through its comprehensive AI approach, combining Retrieval-Augmented Generation (RAG) with semantic search and knowledge graphs, Progress helps deliver significant reductions in hallucinations from the GenAI responses with source attributions that engender trust. Their solutions help businesses apply domain knowledge to AI systems, effectively amplifying human intelligence at machine scale.

2025 The KMWorld AI 100: The Companies Empowering Intelligent Knowledge Management

As AI adapts and learns, its value to KM becomes more apparent. AI offers remarkable capabilities to avoid data silos, improve search relevance, handle multimodal information sources, and uncover knowledge hidden in large, complex data stores.

KMWorld Conference Wrap-Up and Look Ahead

Evident in all the tracks and conferences was the trend toward recognizing the foundational value of KM to enterprises large and small, nonprofit and for profit. Without seamless access to knowledge—access that stretches across data silos and transcends formats—enterprises cannot please customers and employees as they would like. AI-based technologies contribute to elevating the value of KM, but they are not the only driving force.

KMWorld Readers' Choice Award Winners 2024

We hope this list of Readers' Choice Awards winners will be a resource to help you choose wisely when looking for new solutions. As the field continues to evolve, recognizing excellence and innovation remains a constant, even as how knowledge sharing is accomplished morphs in tune with technology changes.

2024 Readers' Choice Award - BEST KNOWLEDGE GRAPHS - AllegroGraph: Neuro-Symbolic AI Capabilities for the Enterprise

AllegroGraph is designed to seamlessly integrate with LLMs, providing the most secure and scalable AI solution for enterprises. AllegroGraph offers a comprehensive solution platform including Large Language Models (LLMs), Vector generation and storage, Graph Neural Networks, Graph Virtualization, GraphQL, Apache Spark graph analytics, and Kafka streaming graph pipelines.

Taxonomies: Foundational to knowledge management

As the volume of digital content increases, the ability to manage it becomes more important. Taxonomy and metadata are vital to finding products, conducting scientific research, and keeping track of organizational information. They also enable a wide variety of analytics on unstructured data. We can see the results of a well-designed taxonomy, but behind the scenes, there's a lot more going on than meets the eye.

KMWorld 2024: Unlocking Powerful Knowledge-Sharing Solutions

This year's KMWorld 4-day event is filled with amazing practitioners, who share their enterprise knowledge and experiences, as well as experts in a number of fields, who relate their engaging stories of success with taxonomies, text analytics, search, and discovery to those in the KM community who want to learn from and network with these stellar performers.

The KMWorld AI 100: The Companies Empowering Intelligent Knowledge Management

It's easy to become overwhelmed, even awestruck at the amount of information about AI, particularly GenAI, being thrown at us on a daily basis. The ability of AI technologies to process vast amounts of data, recognize patterns that humans can't see, and generate new knowledge and insights boggles the imagination. The challenge faced by knowledge managers is determining what is actually useful and will have staying power.

AI 100 Trailblazer: Enterprise Knowledge - Taking AI Beyond a Prototype: At the Intersection of Knowledge and Data Management

Throughout the many AI solutions we have developed within both the public and private sector, we differentiate ourselves by working alongside our clients to weave KM and data management practices through knowledge graphs and a semantic layer and build user-focused AI solutions that are embedded within organizational processes, support the organizational mission, and reflect how people and processes fuel enablement and adoption.

Gaining competitive advantage from non-textual information

With the right approaches, tools, and self-service facilities, it is possible for users possessing any degree of technical aptitude to quickly find and avail themselves of non-textual content.

How (and when) to update your KM strategy

Ensuring that KM endeavors support different access points, systems, and user preferences is a prime consideration for updating KM strategies. Vendors may also supply newfound capabilities (which an organization previously hadn't had access to) that warrant updating a KM strategy to avail organizations of new possibilities.

Curiosity - Revolutionizing Knowledge Management with Secure AI

For knowledge managers seeking cutting-edge AI and data management solutions that prioritize security and customization, Curiosity stands out as a transformative partner, ready to revolutionize enterprise data strategies.

KMWorld 100 Companies That Matter in Knowledge Management 2024

We think these companies play a pivotal role in shaping the future and bringing relevancy to how knowledge is harnessed and made useful across diverse sectors. They are committed to driving efficiency and effectiveness through KM to organizations of all types.

Overcoming data silos: A range of options

The options are many and varied when it comes to taming silos. The specific approach should depend on the use case, the organization's existing knowledge assets, and the strategic goals.

KMWorld Readers' Choice Award Winners 2023

It borders on the incredible the speed at which KM tools, products, and services have evolved recently, creating challenges for those charged with identifying the best ones for their KM projects. We hope that our Readers' Choice winners' list will be a resource for you to choose wisely.

2023 Readers' Choice Award- Best Knowledge Graphs: Franz Inc. AllegroGraph - LLMs and Knowledge Graphs for AI in the Enterprise

Franz Inc. not only offers cutting-edge technology but also provides a suite of services for building industrial-strength Knowledge Graphs. By combining the semantic richness of AllegroGraph with the natural language processing capabilities of LLMs, organizations can unlock the full potential of their data, ensuring that AI-driven insights are grounded in facts.

The future of knowledge management: Talking to documents with generative AI

The fundamental pillars of KM—taxonomies, domain-specific data models, knowledge extraction, search, and text analytics—are as pertinent today as they ever were. Now, generative AI has rendered these constructs much more accessible to the enterprise. Its long-standing utility will be determined by surmounting models' tendencies to generate contrived, inaccurate responses while embedding them into core KM processes.