Google applied the PageRank algorithm to rank pages to prioritize search results. The algorithm is applicable to networks in other domains, for example, interest rate swap transaction networks in banking, real estate transaction networks, and social networks to find the most influential members of t

prem or both. The discovery and integration layer in the fabric integrates and blends data, drawing on subsets of data from across the underlying data landscape as required.

"How Representative is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks" has been accepted as full paper to #www2019 #webconf2019. @DiceResearch @akswgroup @NgongaAxel— Muhammad Saleem (@saleem_muhamad) January 21, 2019

Understanding food recipe requires anticipating the implicit causal effects

Graph #Visualisation w @TerminusDB #opensource #GraphDB: Bike Share #Data #tutorial #softwaredevelopment

While the term “Knowledge Graph” is relatively new (Google 2012) the concept of “representing knowledge as a set of relations between entities - forming a “graph” has been around for much longer. 2019 marks, for example, the 20th anniversary of the publication of arguably the first open standard for

Taxonomies, dogs, and knowledge graphs. Naming the Edges Blog Part 1 Post from @taxobob

Collaboration of people and machines is a major aspect of the World Wide Web and as well of the Semantic Web. As a result of the collaboration process, structural and content interferences as wel…

A computer virus exploits the operating

Neo4j's Educator Program offers Graph Data Modeling course slides, tutorials, and community support.

Discover what's new in the 3.5 release of the Neo4j graph database, including a Go language driver, full-text search and indexing, TLS encryption and more.

Relation extraction from simple questions aims to capture the relation of a

Mappings between ontologies, or between an ontology and an ontology-like resource, are a necessary fact of life when working with ontologies. For example, GO provides mappings to external resources…

Google has moved from Search to Knowledge, and Focusing on Answering questions with knowledge graph entity information provides has led to answering queries w…

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based Gruff Drives Infinite Data Integration, Holistic Insights and Complex Reasoning

meters, human capital is almost always the largest single component. To this end, if you want to use smart building technologies to save costs or increase margins, the main use cas

“Q: which product taxonomies are used in the Shopping / Ad industries? Google's Product Taxonomy is a de facto standard but it lacks freshness, coverage and/or finesse in some areas. I'm also looking at product taxonomies from Amazon, Ebay, Walmart, Target, Groupon. What else?”

Graphs are common #data structures to represent #connecteddata. To use graphs with #deeplearning, we use graph embeddings, a low dimension representations which helps generalize input data. Node2Vec aims to preserve network neighborhoods #datascience #AI

Kurt Cagle is one of the advisors behind the SEMANTICS 2020 Conference. He is a writer, data scientist and futurist focused on the intersection of computer technologies and society. He is also the founder of Semantical, LLC, a smart data company. In this interview, Kurt shares with us some of his expertise and his vision for the new paths being opened by Semantic Technologies.

https://douroucouli.wordpress.com/2019/05/10/obographviz-0-2-2-released-now-with-visualization-of-equivalence-cliques/

Eerily good timing, this is the perfect dataset for item 2: https://t.co/gBhtIylbvJ https://t.co/vOf3jEX7F7— Octavian.ai (@Octavian_ai) April 3, 2019

Official news on crawling and indexing sites for the Google index

Read about how knowledge management can be made smarter using a knowledge graph built with semantic technology.

I have submitted mine. Find it at https://t.co/tdWjN8NhdX"The RDF* and SPARQL* Approach to Annotate Statements in RDF and to Reconcile RDF and Property Graphs"— Olaf Hartig (@olafhartig) January 11, 2019

We address the problem of learning a distributed representation of entities

Keynote talk given at the 41st European Conference on Information Retrieval (ECIR 2019)

A new formal framework based on category theory which provides formal definitions of the main basic features of RDF and SPARQL. Proposal to define notions of RDF graphs as well as SPARQL basic graph patterns as objects of some nested categories #research http://arxiv.org/abs/1910.07519

ExaMode is a EU-funded research project empowering medical professionals to provide more efficient patient care through data-driven diagnoses.

Deep learning models contributed to reaching unprecedented results in prediction and classification tasks of Artificial Intelligence (AI) systems. However, alongside this notable progress, they do not provide human-understandable insights on how a specific result was achieved. In contexts where the impact of AI on human life is relevant (e.g., recruitment tools, medical diagnoses, etc.), explainability is not only a desirable property, but it is -or, in some cases, it will be soon-a legal requirement. Most of the available approaches to implement eXplainable Artificial Intelligence (XAI) fo...