Cognonto is an IT consulting boutique specializing in semantic technologies, knowledge graphs, and knowledge-based artificial intelligence. We are the developers of, and have unique expertise in, the knowledge structure KBpedia and its use in machine learning and data interoperability. Cognonto principals are scientists and acknowledged experts in knowledge representation, natural language understanding, and distributed knowledge sharing.

    With decades of experience in enterprise IT and practical project success in semantic technologies and AI, Cognonto is a leader in the use, integration and exploitation of knowledge graphs across a broad spectrum of industries and knowledge domains. Let us help you with your next data integration or knowledge management challenge.

 

Services

Planning

    Cognonto is renowned for its planning acumen and documentation. We are experienced in all phases of budgeting, scheduling and staffing across knowledge management and knowledge representation (KM / KR) projects. We are familiar with the technologies and players that are potential contributors to specific project needs. We understand Web services, including microservices, and API designs and architectures to support multiple-vendor, multiple-source projects. We have a passion for reusable and trainable workflows and governance procedures for even the most complex of data integration and transformation projects.

Incremental build-outs are often a good strategy to let demonstrated benefits justify continuing budgets.

Ontology Services

    Cognonto principals have been the developers of scores of large-scale and prominent knowledge graphs. We have developed best practices for modular ontology design and specification. We have decades of experience in ontology mapping and integration, and the use of knowledge graphs for managing information assets in a sustainable manner.

Tieing new assets to existing computing scaffoldings, such as KBpedia, helps set the design for modularizing the domain space at hand, while providing guidance for quick conversions and ETLs. Tieing to existing knowledge bases provides both text (document entries) and attribute data for training machine learners and guiding integrations.

KR / KM Implementation

    Knowledge representation is at the core for how to express and expose information assets. KR provides the grammar and rules by which data and information gets represented to the system (the enterprise) with vocabulary, meaning and usability. All knowledge management projects are subject to the open world assumption and must be expressed in a KR format that allows logical relationships and computability. Without these factors, a KM project quickly decays.

The success of knowledge management projects resides in basing the entire project on defensible and logically testable premises. This is not merely a matter of semantics, but also a matter of logically and empirically grounded ways for representing the base knowledge.

 

About

Experience

Since the mid-1990s, Cognonto's principals have been innovators and Web scientists about trends and the potentials of the Internet. From developing the first meta-searchers, to understanding and explicating the deep Web, Cognonto's principals have been on the forefront of understanding the role and importance of this game-changing medium. With UMBEL nearly a decade ago, Cognonto's principals set an initial vision about the need for reference knowledge graphs to guide information integration on the Web. This insight formed the basis of a decades-long commitment to online knowledge bases, linked data and the semantic Web, pursuing the very basis of knowledge representation in order to provide the computable building blocks for data interoperability.

Cognonto continues to seek logically defensible and understandable bases for bringing information together.

Senior Principals

Cognonto's senior principal, Mike Bergman, has been a go-to thinker about the Internet and Web data integration since the earliest days of his influential blog, AI3:::Adaptive Information. For more than 15 years, Bergman's blog has been a must-read for Web scientists and semantic technology practitioners.

In its earliest years, Bergman's blog assembled Sweet Tools, the then-definitive source for semantic technology advances. Most recently Bergman has written authoritatively on the semantic Web, linked data, and knowledge representation based on the teachings of Charles Sanders Peirce. In the process, Bergman has managed some of the most important semantic technology initiatives extant, and has continued to be a thought leader on knowledge graphs and their role in data integration. Bergman is currently lead editor for the KBpedia initiative.