Tags / 19 quotes from 14 sources
#graph
Building The Linkedin Knowledge Graph | Linkedin Engineering
Generating analytics and insights from a knowledge graph
Additional knowledge can be inferred on top of the standardized knowledge graph, generating insights for business and consumer analytics. For example, by conducting OLAP to selectively aggregate graph data from different points of view, we can generate real-time insights such…
Distributed Knowledge Representation On The Social Semantic Desktop: Named Graphs, Views And Roles In Nrl
Graph views as a way to support tailored interpretations for named graphs
...we present the concept of Graph Views as one of the core concepts in NRL. By allowing for arbitrary tailored interpretations for any established named graph, graph views fulfill our idea that named graphs should not innately carry any realized semantics or assumptions…
From Encyclopedia To Ontology: Toward Dynamic Representation Of The Discipline Of Philosophy
Computational ontologies and knowledge bases
We take a computational ontology to be a directed acyclic graph where nodes represent concepts and the links between concepts represent the taxonomic “isa” relation (e.g. in the graph where ‘Wine → Red Wine → Brunello di Montalcino, everything that “is a” instance of Brunello…
Giant Global Graph - Wikipedia, The Free Encyclopedia
Giant global graph
Giant Global Graph (GGG) was notably used the first time by the inventor of the World Wide Web, Tim Berners-Lee, on his blog.[3] Tim Berners-Lee thinks about the social network itself that is inside and between social-network Web sites such as Facebook. He assumes that people…
Harnessing The Power Of Data Discovery: Pt. 2 | Yarcdata
Graph database vs relational database
The marketing manager is hypothesis-testing: she might use this data for a while and then realize that adding geographic information would be useful too since a marathon is going to take place in this town. This way, she can figure out which folks and their friends who live in…
Knowledge Graph - Wikipedia, The Free Encyclopedia
Knowledge graph (wikipedia)
The Knowledge Graph is a knowledge base used by Google to enhance its search engine's search results with semantic-search information gathered from a wide variety of sources. Knowledge Graph display was added to Google's search engine in 2012, starting in the United States…
Micropublications: A Semantic Model For Claims, Evidence, Arguments And Annotations In Biomedical Communications
Support relations as graphs backing claims
Our model provides a framework to support exten- sively qualified claims in natural language, as generally presented by researchers in their primary publications. Most fundamentally, it adds support relations to claims in the literature, to assist in resolving primary…
Nanopublication support is not argumentative support
Nanopublications distill content as a graph of assertions associated with (a) provenance of the article or dataset from whence they came; and (b) a set of terms for indexing and filtering in order to identify auxiliary information in large data sets. Although this last point is…
Note:knowledge Graphs Jws Special Issue - Korrekt.org
Knowledge graph
Knowledge graphs are large networks of entities, their semantic types, properties, and relationships between entities. They have become a powerful asset for search, analytics, recommendations, and data integration. Rooted in academic research and community projects such as…
Official Blog: Introducing The Knowledge Graph: Things, Not Strings
Knowledge graph
The Knowledge Graph enables you to search for things, people or places that Google knows about—landmarks, celebrities, cities, sports teams, buildings, geographical features, movies, celestial objects, works of art and more—and instantly get information that’s relevant to your…
Prof.dr. B. Mons
Nanopublications as single meaningful assertions
The brainchaild of the Concept Web Alliance is the notion of ‘nanopublication’. Today, only a few years later, nanopublications are widely studied and accepted as a way to deal with massive data sets, interoperability of data, data citation and crowdsourcing. [...] The name…
Rdf Primer
RDF/XML, the normative syntax for RDF graphs
RDF's conceptual model is a graph. RDF provides an XML syntax for writing down and exchanging RDF graphs, called RDF/XML. Unlike triples, which are intended as a shorthand notation, RDF/XML is the normative syntax for writing RDF. RDF/XML.
Typed literals need datatype-aware software
Since the value that a given typed literal denotes is defined by the typed literal's datatype, and, with the exception of rdf:XMLLiteral, RDF does not define any datatypes, the actual interpretation of a typed literal appearing in an RDF graph (e.g., determining the value it…
Applications decide what Seq and Alt mean
The graph structure for an rdf:Seq container, and the corresponding RDF/XML, are similar to those for an rdf:Bag (the only difference is in the type, rdf:Seq). Once again, although an rdf:Seq container is intended to describe a sequence, it is up to applications creating and…
The graph matters, not the notation
objects in RDF statements may be either URIrefs, or constant values (called literals) represented by character strings, in order to represent certain kinds of property values. Literals may not be used as subjects or predicates in RDF statements. [...] So, for example…
Intermediate URIrefs for structured values
Structured information like this is represented in RDF by considering the aggregate thing to be described (like John Smith's address) as a resource, and then making statements about that new resource. So, in the RDF graph, in order to break up John Smith's address into its…
The Beginner’s Guide To Google’s Knowledge Graph
Knowledge graph
So, then, what exactly is the knowledge graph? It’s Google’s systematic way of putting facts, people, and places together to create interconnected search results that are more accurate and relevant. More specifically, the “knowledge graph” is a databank that collects millions…
The Diggicore Project: Aggregating And Mining The World Of Open Access Articles
Building a citation graph from full texts
..the problem of building a citation graph by reliably extracting references from full-texts and detecting their true targets. This is a fairly complicated problem due to the variability of citation styles and inconsistent usage of Document Object Identifiers (DOIs). As a…
The Tao Of Topic Maps
Conceptual graphs
Indexes, glossaries and thesauri are all ways of mapping the knowledge structures that exist implicitly in books and other sources of information. In the field of AI (Artificial Intelligence) there also exists the need to be able to represent knowledge (and meaning), in order…