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Apple Tests Predictive Keyboard Using Full Documents as Semantic Context

Apple Tests Predictive Keyboard Using Full Documents as Semantic Context | Language Tech Market News | Scoop.it
Apple’s Frameworks Natural Language Processing Team notes that additional context — “global semantic context” — can yield better results. Looking at the entirety of a document to figure out what’s being said might increase the likelihood that “love” has nothing to do with the document and that the typist might be adding the words “listen to” instead.
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@MeaningCloud Cited in Independent AI-Based Text Analytics Platforms Report

MeaningCloud (https://www.meaningcloud.com/), a Text Analytics and Semantic Analysis vendor has announced that Forrester Research, Inc. has included its platform in its "Now Tech: AI-Based Text Analytics Platforms, Q2 2018" report. 
"MeaningCloud’s secret sauce consists in a combination of: 1. Deep Semantic Technology, boosting precision over pure Machine Learning approaches; 2. Open customization tools, empowering integrators and final clients to better fit their use cases; 3. A sound API platform, with thrilling performance and ease of integration", said Jose C. Gonzalez, CEO of MeaningCloud.

Now

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@Taylor&Francis Partner with @UNSILO to Deliver Content Discoverability

Publishers Taylor & Francis is partnering with AI technology providers UNSILO (DK) to help enrich customers’ online experiences. Users of taylorfrancis.com are being shown recommendations of additional, highly relevant content based semantically on what they are already reading. This will enable users to discover new research more easily.

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How Does a Smarter Knowledge Graph Impact SEO?

How Does a Smarter Knowledge Graph Impact SEO? | Language Tech Market News | Scoop.it

From WordLift: Imagine the knowledge graph behind your website as the scaffolding that lets crawlers and bots access to your content in a smarter and more efficient way. Much like Google uses the graph, as the engine to power up its search results, a graph that describes the content of a website helps machine understands what this content is really about. Whether is a featured snippet showing on the SERP of Google or an app providing an answer using the voice like Cortana, Alexa or the Google Assistant, in the back, everything depends on the data that connects articles and facts in a machine-friendly form.

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ALIGNED: Big Data Semantics Project Showcases 5 Platforms

ALIGNED: Big Data Semantics Project Showcases 5 Platforms | Language Tech Market News | Scoop.it

After 3 years of collaboration between industry and academia and €4 million of funding from the European Commission's Horizon 2020 program, the ALIGNED project has successfully rolled out five trial platforms showcasing its success in applying the latest big-data research findings to solving the problems of industry.
The project tackled problems in a wide range of areas, and showed how the latest semantic technologies can help create smarter legal information systems, provide better management of health data and help construct high-quality archaeological and historical datasets

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The Augmented Researcher: What Does 2018 Hold for AI in Science Publishing?

The Augmented Researcher: What Does 2018 Hold for AI in Science Publishing? | Language Tech Market News | Scoop.it
Semantic data is important to R&D, because it means we can link facts that are related across papers, and over different domains of knowledge – enabling us to deliver insights that might not be obvious from reading one paper alone. To do so requires normalizing the terminology with taxonomies, to allow a network to be created. The increasing reliance on linked facts mean the demands of the modern researcher are changing; researchers need bespoke analytics products for their specific needs, built on robust semantic databases. In today’s world, this more often than not means solutions that combine semantic technology methods, augmented with machine learning and machine reasoning approaches.
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@Ontotext Launches GraphDB 8.4

GraphDB is the preferred semantic graph database for unleashing the power of knowledge, chosen by innovation-driven enterprises such as BabylonHealth, media companies such as the BBC, and scientific publishers such as the IET, Springer Nature, John Wiley & Sons, RELX Group, Oxford University Press and many more.
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TimeXtender Enhances Discovery Hub Platform with New Semantic Layer for Languages

TimeXtender Enhances Discovery Hub Platform with New Semantic Layer for Languages | Language Tech Market News | Scoop.it

TimeXtender, a global software company enabling self-service BI and analytics, is upgrading its Discovery Hub platform, adding a shared semantic layer that enables users to use the same language across platforms. The update also provides different perspectives—grouping together related data for area-specific purposes, for example, finance, sales, marketing, or cross-business analytics.

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@Attivio and Thomson Reuters Improve Search Semantics for Fintech

@Attivio and Thomson Reuters Improve Search Semantics for Fintech | Language Tech Market News | Scoop.it

By integrating Thomson Reuters Intelligent Tagging into its cognitive search platform, Attivio can now offer its financial services customers better answers to their queries due to a deeper understanding of financial terms and abbreviations. This is necessary as a number of Attivio customers use the solution as a key component of their risk and compliance, equity research, and investment analytics initiatives. Attivio is thus in a better position to train machine learning models to understand the specific terms and language used in the financial services industry, said Attivio CEO Stephen Baker.  For companies operating in this sphere, he noted, the need to find the right information in real time is increasingly important. 

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@Cortical.ai Offers New Solution to Text-Data Processing Problems

@Cortical.ai Offers New Solution to Text-Data Processing Problems | Language Tech Market News | Scoop.it

A "breakthrough" in the field of natural language processing (NLP) has been achieved with the Cortical.io Retina engine, which elegantly solves numerous text-data processing problems faced by big businesses. The Retina engine surmounts the obstacles in dealing with terabytes of unstructured text data, thanks to a unique algorithm that is based on neuroscientific research into how the human brain processes information.This helps find and compare texts in such contexts as legal contracts.

LT-Innovate's insight:

Fairly detailed description of how the Retina Engine and Contract module work in a 2D semantic space. 

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Could Semantic Technology For Conversational AI, Big Data be a Pipedream?

Could Semantic Technology For Conversational AI, Big Data be a Pipedream? | Language Tech Market News | Scoop.it
it's hard to find programmers who are prepared to grapple with semantic-oriented systems. Also, semantic applications often depend on complex deployments of data lakes incorporating graph databases. And their ultimate success hinges on another AI-related technology -- deep learning algorithms that must process huge volumes of data to fuel semantic engines. With those challenges, the semantic vision may end up being a pipe dream.
LT-Innovate's insight:

But there is also a lot of work going on trying to improve machine learning with semantics data. Too early to judge.

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The IoT Will Only Thrive with Semantic Interoperability

Coreon (DE): Without semantic interoperability IoT devices fail to communicate with each other. If human intervention is necessary the Internet of Things with billions of devices remains a buzzword for a great vision. Multilingual Knowledge Systems are a proven solution to make data repositories, systems, organizations, and even countries interoperable. They will provide the unified semantics for the Internet of Things, globally.

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MICO Project Develops New Semantic Tagging Tool for Digital Journalism

The EU-funded Media in Context (MICO) project has developed a semantic editor called WordLift (a plugin for WordPress) that adds semantic contextual tags to on line news content. The project primarily worked with two partners, Greenpeace Italy and Shoof (a start-up developing an Android app for user generated content) to organise the news desk of small and medium editorial teams by creating a flexible network of metadata around both text and media. Tagging allows news content to b republished in many different forms and on many different platforms and devices.

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#Semantics #NLP Group Ayfie Bags Norway's Largest Law Firm

#Semantics #NLP Group Ayfie Bags Norway's Largest Law Firm | Language Tech Market News | Scoop.it

Ayfie (Norway) states its tech is not based on machine learning. Or, to quote the company: ‘[The technology] makes knowledge accessible to analysis and prediction algorithms by unearthing the semantic structure behind the text. Basically, ayfie Inspector reads like a human.’ I.e. rather than using a statistical model.

LT-Innovate's insight:

Watch out for more on the semantics vs statistics battle in NLP

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How @expertsystem's COGITO Helps Simplify GDPR Compliance

How @expertsystem's COGITO Helps Simplify GDPR Compliance | Language Tech Market News | Scoop.it

Cogito's AI can analyse content and capture its meaning in context, identifying the personal data contained within. Its capabilities include generating specific reports for decision makers so that they can quickly respond in terms of the guidelines and processes. This is crucial in helping companies meet the GDPR’s compliance requirements. 

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OS Semantics Required to Process MIFID II Regulatory Change and Compliance

OS Semantics Required to Process MIFID II Regulatory Change and Compliance | Language Tech Market News | Scoop.it

We are pleased to publish this whitepaper from the RegTech Council (RTC) which was discussed at our recent event – RegTech Capital Markets Conference on 7 March 2018. The objective of this paper is to demonstrate how regulations can be processed using open-standards-based semantic technologies and regulatory compliance made more efficient and effective. Specifically, it sets out to define the benefits such an approach can offer regulators and financial firms by mapping compliance imperatives onto impacted business activities.

LT-Innovate's insight:

A plea for the use of semantic tech to search and navigate the 30K pages and 1.5 million paragraphs of 50,000 MIFID II regulations published in the G20 from 2009 to 2012. Plus translation issues. The real problem will be finding a common legal language to act as a baseline for all developments. 

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How Ghent is Using the Semantic Web to Connect Data and Meaning

How Ghent is Using the Semantic Web to Connect Data and Meaning | Language Tech Market News | Scoop.it
Ghent we have experienced the benefits in a more internal alignment. By developing the semantic vocabularies we saw different city services agreeing on common terminology and meaning, and agreeing to coordinate data governance.

More institutions are adapting this technique, and the need to recognise and attract people with the right skillset is growing. Semantic experts and linked-data professionals are not knocking on our door (yet) but as more open source tools and accessible training programmes become available, the understanding, added value and sustainability will become essential to any data governance unit.
LT-Innovate's insight:

Shows how explicit conceptual networks can aid cities to improve knowledge, services, and language-independent links to other cities information.

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@Right Relevance Topical Scores & Rankings for Influencers 

@Right Relevance Topical Scores & Rankings for Influencers  | Language Tech Market News | Scoop.it

Right Relevance (RR) provides curated information and intelligence on over 50 thousand topics. This includes:
Topic relationships including related topics & semantic information like synonyms, acronyms.
Topical influencers (over 2.5M) with score and rank.
Topical content and information in the form of articles, videos and conversations.
Often asked questions are, what does score for a topic tag assigned to an influencer signify and how is it calculated. For e.g. the scores shown for ‘climate change‘ for the top 4 influencers, along with scores for the additional topic tags, in the image below.

LT-Innovate's insight:

Semantically-organised database of topics and links with API from an Indian software house. English only?

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Auto-Zone Uses Semantics to Eradicate Website Tagging

Auto-Zone Uses Semantics to Eradicate Website Tagging | Language Tech Market News | Scoop.it

ContentSquare, a digital experience insights platform, has launched Auto-Zone, an artificial intelligence-based recognition algorithm that replaces content tagging with automatic element identification on each area of a website.
With Auto-Zone, marketers can set up content elements through the ContentSquare interface using artificial intelligence, eradicating the need to place unique tags on each individual page element before they can answer related customer journey questions. The technology “zones” and provides semantic understanding of the data, enabling brands to improve their display process on their site, while also providing unique insight into customer journeys and overall UX. This simplifies reporting and exponentially accelerates optimizations and KPIs.

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@franz: "Semantic Technology Will Become the AI Interpreter"

@franz: "Semantic Technology Will Become the AI Interpreter" | Language Tech Market News | Scoop.it

"As artificial intelligence becomes the new consumer-facing UI for many businesses, semantic technology will emerge as the necessary interpreter. Conversational AI will need precise understanding of the communication from humans and extract meaning from the communication. Artificial intelligence in combination with semantic technology is ideally suited to address this challenge. — Jans Aasman, CEO of Franz

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Elsevier Announces the Winner of the 2017 Semantic Web Challenge

Elsevier Announces the Winner of the 2017 Semantic Web Challenge | Language Tech Market News | Scoop.it
The winner of the 2017 semantic web challenge is IBM Socrates by Michael Glass, Nandanda Mihindukulasooriya, Oktie Hassanzadeh, and Alfio Gliozzo of IBM Research AI.

"Socrates won both tasks by using an innovative integration of additional Artificial Intelligence techniques such as Natural Language Processing (NLP) and Deep Learning over multiple web sources to find and check facts. Their knowledge graph outperformed the state of the art as set by the baseline," said SWC Chairs Bennett, Dr. Ngonga and Dr. Paulheim.
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Protagonist Updates Narrative Analytics Platform

Protagonist Updates Narrative Analytics Platform | Language Tech Market News | Scoop.it

Protagonist (US) announced updates to the technology behind its proprietary Narrative Analytics platform, which supports all of its offerings. The platform can now process millions of data points of structured and unstructured dialogue to uncover existing narratives, track changes in public beliefs, and highlight growing sentiments at scale. More sophisticated Natural Language Processing capabilities make it possible for Protagonist to differentiate between claims being made, evidence used to support them, and underlying concepts — providing the ability to understand which narratives are most impactful for encouraging action giving marketers insights into their customers that were previously impossible.

LT-Innovate's insight:

Cognitive semantics on the narrative warpath...

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AtScale 6.0 Delivers Universal Semantic Layer to the Google Cloud

AtScale 6.0 brings universal semantic layer capabilities to Google BigQuery by introducing a solution that lets enterprises experience faster time to value on any data, regardless whether it's stored on premises, in the cloud, in Hadoop or in a relational database.

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Vocabulary Carnival at Semantics 2017

The Vocabulary Carnival at SEMANTiCS 2017 in Amsterdam is a unique opportunity for vocabulary publishers to showcase and share their work, meet the growing community of vocabulary publishers and users, and build useful semantic, technical and social links. The Vocabulary Carnival is part of the SEMANTiCS programme with the Carnival Minute Madness and on our marketplace.

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Wordlift Adds Semantic Support to Professional Writers

Wordlift Adds Semantic Support to Professional Writers | Language Tech Market News | Scoop.it

Italian startup Wordlift: Large graphs like Freebase, DBpedia and Wikidata represent the majority of the information that computers use to interact with humans. There are also advanced linguistic resources, structured as linked data, that help computers understand human language (lexical databases like BabelNet or WordNet) and this is also an interesting area of development. But there is very little available in terms of tools that smaller bloggers can use to create their own structured knowledge.

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