Blog Posts
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SHACL is a SHApe Constraint Language. It specifies a vocabulary (using triples) to describe the shape that data should have. The shape specifies things like the following simple requirements: How many triples with a specified subject and predicate should be in the repository (e.g. at least 1, at most 1, exactly 1). What the nature of the … Continue reading SHACL – Shapes Constraint Language in AllegroGraph
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Franz’s CEO, Jans Aasman’s recent Destination CRM article: The need for text analytics and speech recognition has broadened over the years, becoming more prevalent and essential in the sales, marketing, and customer service departments of various types of businesses and industries. The goal is simple for these contact center use cases: provide real-time assistance to human agents … Continue reading Turn Customer Service Calls into Enterprise Knowledge Graphs
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Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph and Document Database technology for Knowledge Graphs, today announced that it has been named to Database Trends and Applications (DBTA) – 2019 Top 100 That Matter Most in Data. “We’re excited to announce our seventh annual list, as the industry continues … Continue reading AllegroGraph Named to DBTA Top 100 That Matter Most in Data
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DOWNLOAD – Gruff Gruff is the Knowledge Graph industry’s leading Graph Visualization software for exploring and discovering connections within data. Gruff provides novice users and graph experts the ability to visually build queries and explore connections as they developed over time. Gruff produces dynamic data visualizations that organize connections between data in views that are … Continue reading New Gruff v7.4 – Now Available!
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Franz’s CEO, Jans Aasman’s recent Forbes article: There’s a fascinating dichotomy in artificial intelligence between statistics and rules, machine learning and expert systems. Newcomers to artificial intelligence (AI) regard machine learning as innately superior to brittle rules-based systems, while the history of this field reveals both rules and probabilistic learning are integral components of AI. This fact … Continue reading Creating Explainable AI With Rules
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AllegroGraph provides two ways to add metadata to triples. The first one is very similar to what typical property graph databases provide: we use the named graph of triples to store meta data about that triple. The second approach is what we have termed triple attributes. An attribute is a key/value pair associated with an … Continue reading Adding Properties to Triples in AllegroGraph
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Semantically Linking Earth Observation Data Makes it FAIR for the Global Community of Geoscientists In celebration of Earth Day, Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology for Knowledge Graphs, today recognized how AllegroGraph, its semantic knowledge graph technology, is playing an essential part in making … Continue reading Earth Day – Franz Inc. and Geoscience Experts Recognize the Growing Importance of Semantic Knowledge Graphs for Earth Science
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Presenters – Burt Smith, N3 Results and Jans Aasman, Franz Inc. In the typical sales organization the contents of the actual chat or voice conversation between agent and customer is a black hole. In the modern Intelligent Customer Operations center (e.g. N3 Results – www.n3results.com) the interactions between agent and customer are a source of rich information that … Continue reading Webcast – Speech Recognition, Knowledge Graphs, and AI for Intelligent Customer Operations – April 3, 2019
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The following is example #19 from our AllegroGraph Python Tutorial. JSON-LD is described pretty well at https://json-ld.org/ and the specification can be found at https://json-ld.org/latest/json-ld/ . The website https://json-ld.org/playground/ is also useful. There are many reasons for working with JSON-LD. The major search engines such as Google require ecommerce companies to mark up their websites with a systematic description of their … Continue reading Using JSON-LD in AllegroGraph – Python Example
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According to Donald Feinberg, vice president and distinguished analyst at Gartner, the very challenge created by digital disruption — too much data — has also created an unprecedented opportunity. The vast amount of data, together with increasingly powerful processing capabilities enabled by the cloud, means it is now possible to train and execute algorithms at the … Continue reading Gartner Identifies Top 10 Data and Analytics Technology Trends for 2019
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