Posted on: September 16, 2020, by: Ann Kelly
Knowledge Graphs and Semaphore
While the term Knowledge Graph (KG) is relatively new, (Google 2012) the idea of representing business knowledge as a set of concepts and the relationships between concepts has been around for more than 20 years. Knowledge graphs are used for knowledge representation and reasoning. Things such as controlled vocabularies (taxonomies and ontologies) combined with post-relational data stores (graph databases) make up a Knowledge Graph, which is supported and open via W3C standards and practices.
Enterprise Knowledge Graphs (EKGs) have been gaining steam since 2018, Gartner’s Emerging Technologies Hype-cycle identified EKGs as a trending technology – today EKGs are rapidly accelerating up the hype cycle towards the peak. Yet how is it that a 20-year old technology is closing in on the hype-cycle peak? Hype is real too – it’s not that things have dramatically changed in approach, it’s that the data and computational power have advanced enough to make it work at scale and standards like the W3C Resource Description Framework (RDF) make data interoperable.
Different than traditional technologies, which store information in tables of rows and columns, EKGs store knowledge in a network of nodes and links much the same way humans organize information. These structures allow people and machines to benefit from a dynamically growing semantic network of facts about things that can be used for data integration, knowledge discovery, and in-depth analysis.
There are two types of graph implementations: Resource Description Framework (RDF) triple stores and Label Property Graphs (LPG). Both provide ways to explore and graphically depict connected data, they contain the same components: vertices and the edges that connect them, however, they are different. RDF graphs are a W3C standard identified by a URI, which is used for data exchange on the web. LPG graphs, on the other hand, have an internal structure - a set of key-value pairs that characterize the properties/connections.
Semaphore is a W3C standards-based platform where all the formalism and standards are expressed in RDF. However, today the lines are blurred; LPG’s can take in RDF without any interpretation and the RDF world is now embracing properties on relationships using RDF*.
Semaphore allows organizations to build, visualize, and connect semantic models and is designed to easily integrate with any graph technology used within the enterprise (e.g. AllegroGraph, StarDog, Neo4j, MarkLogic, Jena, Blaze, Amazon Neptune, etc.).
Combining Semaphore’s semantic capabilities with graph technology allows you to identify and extract the valuable information hidden in unstructured text and siloed structured information into a single harmonized datastore. This semantically harmonized and enriched data resource, which is of high quality and contains the full set of enterprise information, provides tremendous value and ROI for various business recipients.
Smartlogic’s graph vision focuses on building knowledge models in a way that allows our customers to take disparate or various reference data and use it to reveal corporate wisdom to answer questions that prevent revenue leakage, minimize risk, and accelerate growth.
Knowledge graphs will continue to become an integral part of an organization’s Digital Transformation strategy. Knowledge models, like those created in Semaphore, clean, filter, and unify data. Graphs built using semantic technologies can be traversed, assessed, and interpreted using graph analytics and graph query languages. With these technologies, the meaning of all data elements can be understood, as they are represented in a machine-readable form.
Traditional databases require you to presuppose all the questions up front and if you get it wrong, the cost in time and money to add new information is expensive. In a world where information rapidly changes and you cannot possibly know what is next, using knowledge models and graphs provide a flexible and extensible technology.
CEO and Founder
Semantic AI Transforms User Search in Biopharma Organization
As data-driven technologies produce massive amounts of information and automation begins to take over day-to-day mundane tasks, new talent models based on purpose and meaning will emerge. To prepare for the future and remain relevant in a constantly changing marketplace, organizations must find new ways to create value and devise new metrics to make sense of enterprise data.
From laboratory-based research and development, clinical trials, regulatory affairs, manufacturing, engineering, and quality assurance and control, etc. the knowledge, skills, abilities, and training for each role is critical to enterprise success.
Read how one global biopharmaceutical organization with more than 30K employees located in 70 countries leveraged the power of Semantic AI and Semaphore to create a robust and extensible system that enables individuals to rapidly identify the appropriate standards, procedures, and responsibilities associated with their role to comply with organization and legal requirements.
Smartlogic’s User Community Forum
Our next User Community Forum meeting will be held on Wednesday, October 7th at 11 am Eastern. If you haven’t signed up yet DO IT TODAY – it’s a great opportunity to meet and connect with like-minded Semaphore users to exchange tips, tricks, and best practices with the Semaphore platform and Knowledge Management topics.
Smartlogic is Named as one of KMWorld’s AI50 – Companies Empowering Intelligent Knowledge Management
Smartlogic, the leader in Semantic AI solutions, has been named as one of KMWorld’s AI50 – Companies Empowering Intelligent Knowledge Management. This distinction is given to organizations with innovative knowledge management solutions that are incorporating AI and cognitive computing technologies into their offerings. Read the full press release.
Smartlogic’s Semantic AI platform Semaphore is listed as one of KMWorld’s Trend-Setting Products - 2020
Smartlogic’s Semantic AI platform Semaphore has been listed in the 2020 KMWorld Trend-Setting Products. This acknowledgment is given to organizations with products that stem from both radical innovation and continuous evolution. Read the full press release.
Semaphore Fall training is here. Foundation training is underway, and we are gearing up for Advanced, Administration, and Fact Extraction Framework classes later this year. To register, email us at firstname.lastname@example.org or contact your Smartlogic Account Manager.
Advanced Training – Begins October 19th. The last day to register is October 9th
Administration Training – Begins November 30th. The last day to register is November 20th
Fact Extraction Framework Training – Begins January 11th, 2021. The last day to register is December 31st, 2020
If you are not sure where to start your training, visit our website training page to view pre-requisites and course information.
Webinars are in the works, keep an eye on our events page for announcements and registration information!
If you missed our webinar: Building Ontologies for Knowledge Discovery, you can get the playback here.
We’ve been working on our website, check out our new What is Semantic AI video and our redesigned product pages
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