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Category: Semantic technologies (Page 9 of 72)

Our coverage of semantic technologies goes back to the early 90s when search engines focused on searching structured data in databases were looking to provide support for searching unstructured or semi-structured data. This early Gilbane Report, Document Query Languages – Why is it so Hard to Ask a Simple Question?, analyses the challenge back then.

Semantic technology is a broad topic that includes all natural language processing, as well as the semantic web, linked data processing, and knowledge graphs.

GraphDB 9.8 brings text mining and Kafka connectivity

June 2, 2021 /

Ontotext announced the realize of GraphDB 9.8, which offers text mining integration, notifications over Kafka, Helm charts, and performance improvements. The text mining plugin comes with out-of-the-box support for text analytic services such as Ontotext’s Tag API, GATE Cloud, and spaCy server, as well as an expressive mapping language, to register new services without coding. The extracted text annotations can be manipulated with SPARQL and either returned to the caller for further processing or stored directly into the repository where they will enrich the existing knowledge graph. This functionality covers a number of use-cases that rely on both RDF and text analytics.

The Kafka connector provides a means to synchronize changes to the RDF model to any downstream system via the Apache Kafka framework. Each Kafka connector instance will stay automatically up-to-date with the GraphDB repository data. The implementation is built on the same framework as the existing Elasticsearch, Solr and Lucene connectors and allows for precise mapping from RDF to JSON, such as defining fields based on property chains, nested document support as well as advanced filtering by type, literal language or a complex expression. GraphDB 9.8 comes with standard Helm charts and instructions that can help you get started with GraphDB Enterprise Edition on Kubernetes.

https://www.ontotext.com/company/news/graphdb-9-8/

Librestream enhances knowledge-sharing with AI Connected Expert

May 27, 2021 /

Librestream, provider of augmented reality (AR) and remote collaboration solutions, launched new capabilities for its Artificial Intelligence (AI) Connected Expert vision giving industrial workers access to the content, people, smart data and guidance needed to efficiently and safely perform their work.

The new components to the Onsight platform include natural language processing (NLP) with real-time translation capabilities to bridge language barriers amongst global workers, and an industrial-first AR experience for the Microsoft HoloLens 2 platform. The advancements build on the AI Connected Expert workforce vertically-trained computer vision, reducing human cognitive load, and enabling faster time to competency for employees, as well as IoT sensor data visualizations within the Onsight experience.

Onsight Translator, Librestream’s NLP capability, enables users to simply and securely translate “speech to text,” including live transcription (captions) displayed on-screen and live translation of calls from one language to another. Whether a field technician works with a subject matter expert on an asset repair task, communicates with a supplier in a different country or assists with a remote inspection, Onsight Translator’s  speech recognition and machine translation bridges language gaps.

Onsight Connect for HoloLens 2 provides hands-free experience across collaborators, incorporating the mixed reality features of the HoloLens 2 such as holographic visual interface and support for gestures, voice-driven commands, and 3D audio experience.

https://librestream.com/press-releases/librestream-unveils-workforce-collaboration-and-knowledge-sharing-enhancements-as-part-of-ai-connected-expert-vision/

Fluree and Lead Semantics announce TextDistil

May 27, 2021 /

Fluree, provider of an immutable semantic graph data platform, announced a technical partnership with Lead Semantics to provide an integrated solution, TextDistil, for enterprise data management teams building semantic-capable, secure data fabrics. A focus for the integrated solution includes regulated industries, with a greater magnitude and scope of requirements needed to prove compliance, including fintech, banking, insurance and the public sector.

Lead Semantics’ natural language processing (NLP) technology, powered by Fluree’s semantic graph database, will help convert unstructured data assets into semantic-capable enterprise knowledge. With TextDistil, Lead Semantics and Fluree are bringing unstructured data into the structured context of businesses’ respective operational transactional worlds with security, traceability, and audit-capabilities provided by Fluree’s immutable ledger. Key benefits:

  • With TextDistil, free text becomes yet another stable source of data with ‘structure’ much like data from a relational database in an enterprise.
  • Fluree’s trusted ledger, with the Fluree technology integration, companies using TextDistil will have secure and provable data, which is audit-friendly and can wrap legal contracts with blockchain-grade traceability.
  • Both follow standards-based data semantics, making them easily integratable. On the output side, TextDistil encodes text into knowledge according to a domain ontology. W3C semantic standards compliant knowledge-facts (RDF triples) are output to be loaded into Fluree Database enabling automatic semantic integration and standard SPARQL querying.

https://flur.ee ▪︎ https://leadsemantics.com

Squirro launches new Squirro App Studio

May 26, 2021 /

Squirro, an Augmented Intelligence solutions provider, has announced the launch of its new Squirro App Studio, a no code / low code platform to build and set up AI-powered apps such as Cognitive Search quickly and easily. The platform enables users with no background in data science to build a Cognitive Search app, leveraging Artificial Intelligence (AI), machine learning (ML), and natural language processing (NLP) to create a unique enterprise search experience. Cognitive Search offers a unique search experience that gathers data from internal and external sources, and understands the users’ intent and context whilst providing them with the correct information at the right time.

The platform is enhanced with an extensive set of connectors, allowing users to unify their data sources and extract actionable insights and recommendations. In one click, users can connect the Cognitive Search app with CRM systems such as Salesforce, premium market data such as Refinitiv, Pitchbook, and a range of different enterprise systems including OneDrive, SharePoint, Confluence, Jira, Google Drive, Gmail and Dropbox.

https://squirro.com/enterprise-search/

AtScale announces AtScale CloudStart

May 26, 2021 /

AtScale, a provider of semantic layer solutions for modern business intelligence and data science teams, announced the launch of AtScale CloudStart for building analytics infrastructure on cloud data platforms. This offering enables organizations to rapidly integrate AtScale’s semantic layer solution on cloud data management platforms. CloudStart provides customers a way to start with a smaller semantic layer investment aligned with entry points for cloud data platforms with the ability to scale seamlessly with your analytics infrastructure.

As enterprise data moves to the cloud, analytics teams are challenged to ensure performance and manage costs while capturing the value of democratizing data. AtScale’s semantic layer eliminates the friction of moving BI, artificial intelligence and machine learning workloads to the cloud. By leveraging a single source of enterprise business metrics, organizations can drive data literacy and self-service BI initiatives while aligning business intelligence and data science teams.

AtScale CloudStart is immediately available for Snowflake, Microsoft Azure Synapse SQL, Google BigQuery, Amazon Redshift, and DataBricks. Customers can leverage this offering to connect cloud data sources to BI tools including Tableau, Excel, Looker and Power BI (leveraging the recently announced Live Query support for Power BI). Accompanying services packages support training and rapid onboarding.

https://www.atscale.com

Franz and Smartlogic to help enterprises deploy semantic knowledge graphs

May 24, 2021 /

Franz Inc., a supplier of Graph Database technology for Knowledge Graph Solutions, and Smartlogic, a Semantic AI platform vendor, announced a collaboration aimed to help large enterprises accelerate the timeframe to deploy scalable, distributed Semantic Knowledge Graph solutions. The Franz Inc. and Smartlogic combination provides organizations with end-to-end technology along with the expertise to quickly create enterprise-scale Semantic Knowledge Graphs, which serve as the underpinning for Artificial Intelligence applications.

AllegroGraph is a Semantic Graph based platform that allows infinite data integration through a unique approach that unifies all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive, big data analytics. The FedShard capability within AllegroGraph utilizes federated sharding functionality that drives holistic insights and enables complex reasoning across a distributed Knowledge Graph. Semaphore provides a semantic layer in the enterprise digital ecosystem to manage knowledge models, automatically extract and classify the context and meaning from structured and unstructured information, and generate rich semantic metadata.

Franz’s Knowledge Graph Solution includes both technology and services for building Entity-Event Knowledge Graphs based on tools, products, knowledge, skills and experience. Franz delivers the expertise for designing ontology and taxonomy-based solutions by utilizing standards-based development processes and tools.

https://www.franz.com/ ▪︎ https://www.smartlogic.com

Point72 partners with Cambridge Semantics

May 13, 2021 /

Cambridge Semantics announced a strategic relationship with Point72 to power Point72’s suite of cloud-based compliance applications. Under the agreement, Point72 has licensed Cambridge Semantics’ Anzo, a scalable knowledge graph platform. Anzo offers a broad array of data integration and analytic capabilities including search, business intelligence, and graph analytics.

Anzo’s knowledge graph platform features the embedded, MPP graph engine AnzoGraph. Anzo allows companies to integrate and harmonize data from across their businesses and functions into a single, scalable system while taking advantage of the benefits of knowledge graph technology. The graph can model links and provide users real-time updates of millions of daily events across structured and unstructured data. Using Anzo, Point72’s compliance team will be able to onboard, display, and search data more efficiently.

The collaboration advances the compliance technology at the firm while helping derive insight from the underlying data. This approach, referred to as a data fabric, integrates data across the firm in a reusable way. Along with the platform, Cambridge Semantics provides expert services to assure the success of knowledge graph implementations.

https://www.cambridgesemantics.com ▪︎ https://www.Point72.com/about

Expert.ai adds emotion analysis to natural language API

May 7, 2021 /

Expert.ai announced advanced features enhancing analysis capabilities through its cloud-based natural language (NL) API. The new extension addresses one of the biggest challenges artificial intelligence developers face in the NL ecosystem – extracting emotions in large-scale texts and identifying stylometric data driving a complete fingerprint of content.

The expert.ai NL API captures a range of 117 different traits, providing a rich emotional and behavioral taxonomy. Emotional Traits are categorized into 8 different groups (anger, fear, disgust, sadness, happiness, joy, nostalgia, shame…). Behavioral Traits are divided into 7 groups (sociality, action, openness, consciousness, ethics, indulgence and capability) and the API assigns 3 levels of polarity (low, fair, high) to further indicate the level of each trait extracted.

The emotions and traits extension can be useful to make media content categorization more effective by capturing new needs or advancing analytics by providing more detailed forecasting and enabling more effective recommendation tailoring for e-commerce. The expert.ai NL API writeprint extension performs a deep linguistic style analysis (or stylometric analysis) ranging from document readability and vocabulary richness to verb types and tenses, registers, sentence structure and grammar. Compare multiple documents to identify unique writing style and author invariants to streamline authorship analysis, establish the author of a specific text or isolate characteristics such as education level.

https://www.expert.ai

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