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#Knowledgegraphs applied in #retail. Semantic searches are common: “sassy dress” / “dress for dancing” will occur more than a search for a specific product name. KG based on product attributes/semantic entities can be used to associate words #EmergingTech

Representation of #innovation ecosystems as #knowledgegraphs would enable generation of reports with new insights, execution of advanced #data analysis tasks. An #ontology to capture essential entities & relations, data sources #research #EmergingTech

Direct online marketing and sales are nowadays an essential part of almost any business that addresses an end consumer, such as in tourism. On the downside, the data and content required for such marketing and sales are typically distributed, and difficult to identify and use, especially for small and medium enterprises. Further, a combination of content management and semantics for automated online marketing and sales is becoming practically feasible now, especially with the global adoption of knowledge graphs. A design and feasibility pilot of a solution implementing semantic content and ...

Enterprises should consider semantic and Enterprise Knowledge Graph technology for their Data Governance efforts. Enterprise Knowledge Graphs describe a linked set of information that meaningfully brings together data and metadata silos.

sourced Ampligraph, a suite of machine learning models that can uncover new knowledge from existing knowledge graphs. We’re also exploring how knowledge graphs can contribute to social good. Working with Lambert Hogenhout, Chief of Data Analytics for the United Nations, we organized a “Knowledge Graphs for Social Good” workshop. The effort focused on the UN’s 17 Sustainability Development Goals: concrete areas like poverty, hunger, and health where action is needed to impr

intelligence projects in military and security forces, Quid and RecordedFuture enable competitive analytics, Bottlenose and others enable online reputation analytics, Microsoft Graph enables new kinds of productivity apps for the

Hello, ACL 2019 has just finished and I attended the whole week of the conference talks, tutorials, and workshops in beautiful Florence…

This post commemorates the first anniversary of the series where we examine advancements in NLP and Graph ML powered by knowledge graphs! 🎂 1️⃣

19, trying to make sense of the data surrounding the virus is a Herculean task. Vast in volume and ceaselessly produced, this data emanates from domains as different as virology and economics and is produced by a multitude of people and organizations. Unsurprisingly the standards to which this data conforms are as multitudinous as its sources. It just so happens that making sense of messy data from disparate sources is one of the things at which knowledge graphs excel. Moreover, knowledge graphs make it possible to derive new knowledge from intelligently connecting information residing in those disparate data repositories. Given that the ability to better analyze data and gain new insights is of obvious use to people trying to respond to the pandemic, those working with knowledge graph technologies have started to talk about how those technologies – and their skills – might

We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades. Over the last few years, a number of new graph databases

This past fall, all aspects of the computable knowledge structure KBpedia – its upper ontology (KKO), full knowledge graph, mappings to major leading knowledge bases, and 70 logical concept groupings called typologies – became open source.

pandemic) and have our LinkedIn feeds (trained by AI, ironically) locked into the data management world, these trends are

My good friend Ed Sverdlin often begins our “Introduction to Graph Databases” presentations with the question “When did computing start?”…

In this work, we propose Knowledge Integration Networks (referred as KINet)

As part of my keynote address at the KM Showcase last week, I wanted to kick off the conference with a view of what I see as the top KM trends today.

For this blog Ahren Lehnert explains why this may be a golden moment for KM to address theoretical benefits in the context of real-world emergencies.

A mathematical theory is presented for the representation of knowledge in the

Knowledge Representation is a Tricky Business. The Choice Between Class and Instance Depends on Your Point of View #knowledgegraph #datamodel #AI #data #tech h/t @palexop

We introduce Kensho, a tool for generating mapping rules between two

#KnowledgeGraphs can be considered to be fulfilling an early vision in Computer Science of creating intelligent systems that integrate knowledge & data at large scale. A Brief History of Knowledge Graph's Main Ideas: A tutorial by @juansequeda http://knowledgegraph.today/paper.html

Why does software development velocity slow as a company scales? See how you can improve your company's knowledge graph with Kubernetes.

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At Stardog, we’re all about making it easy to unify data. That’s why we’ve just open sourced a set of tools to make working with Stardog even easier than before.

based entity recommendation framework

Slides of the LD tutorial at DH2019

Dependencies, like graphs, are everywhere. Achieving a goal is rarely possible in a vacuum and requires collaboration between individuals and/or process...

based models have shown their unique advantages in knowledge graph (KG)

CSV2RDF 2.0 released! https://t.co/mVvzk2LEXdCSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -now with named arguments (shout-out to @picocli) and a Docker image: https://t.co/Ac1CBFLhgM https://t.co/zyN9DW0qqT— Learning SPARQL (@LearningSPARQL) July 11, 2019