#Ontology-Mediated Query Answering (OMQA) is a framework to answer queries over RDFS or OWL Knowledge Bases (KB). OMQA has been extended to SPARQL queries. #Research shows semantics can be defined that satisfies all requirements for SPARQL queries
#Semantic #technology, decision intelligence, knowledge #datascience will be our companions in the next years, so it's recommended to start exploring #graphdatabases, #ontologies, knowledge representation systems #knowledgegraph #AI #2020NewYear #trends
Google, Microsoft, Facebook have their own #knowledgegraphs. But there's a larger body of publicly available KGs, such as @DBpedia or #Wikidata @heikopaulheim @svenhertling @n_heist @dwsunima provide overview & comparison #opendata #EmergingTech #research
2019: The year in review for Amazon Neptune | Amazon Web Services
#Amazon Neptune #GraphDB celebrated its 18-month birthday last month. Here's a roundup of its many improvements over the last year in #Developer experience, #Enterprise capability, Instances, Performance and query improvements, Compliance, Regions #cloud
multiple tables linked by connected fields. Setting up a relational database requires a person who understands data structures. And if new information is added, or new relationships become important, the database administrator will need to change the structure of the database and, most likely, update the user interface as well. So what do you do if you have a data set where you can't map out the relationships ahead of time? Where instead of being connected by a single data point, people can be connected by things you can't predict in advance? Maybe two people are on the same baseball team or like the same types of books or live in the same city. Adding each of those items as a separa
36C3 Wikipaka WG: Querying Linked Data with SPARQL and the Wikidata Query Service - YouTube
An intro to querying #linkeddata using SPARQL & @Wikidata. Which films starred more than one future head of government? Largest city with a female mayor? Questions #linkeddata can answer #opendata #knowledgegraph #datascience @CCC h/t @LearningSPARQL [LINK]https://media.ccc.de/v/36c3-60-querying-linked-data-with-sparql-and-the-wikidata-query-service
#semantic understanding of scenes is important for #apps. But in what space should diverse information be grounded, in what structure? 3D Scene Graph outputs a layered graph. Layers have nodes, nodes have attributes, edges between nodes h/t @drfeifei
4 Little-Known FAQ Schema Filtering Commandments - Brodie Clark Consulting
#SchemaOrg created FAQ Schema. #Google introduced filtering parameters that come w Search implementation. These act as commandments for Google’s algorithm which should be abided by for when markup is used in search results #SEO #semantics h/t @cyberandy
Graph Theory and #DataScience: A topic intro with the Bridges of Königsberg. Graph Theory can be used to represent and analyze a wide variety of network information, has numerous modern applications within Data Science #data #tech #software #algorithms
[1812.10757] Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
Building open domain conversational systems that allow users to have engaging conversations on topics of their choice is a challenging task. Alexa Prize was launched in 2016 to tackle the problem...
[1901.08942] Improving Image Captioning by Leveraging Knowledge Graphs
We explore the use of a knowledge graphs, that capture general or commonsense knowledge, to augment the information extracted from images by the state-of-the-art methods for image captioning. The...
[1902.06236] Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
Incorporating knowledge graph (KG) into recommender system is promising in improving the recommendation accuracy and explainability. However, existing methods largely assume that a KG is complete...
[1903.07673] Trust and Privacy in Knowledge Graphs
This paper presents the KG Usage framework, which allows the introduction of KG features to support Trust, Privacy and Transparency concerns regarding the use of its contents by applications. A...
[1905.07854] KGAT: Knowledge Graph Attention Network for Recommendation
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account. Traditional methods like...
[1905.09519] The African Wildlife Ontology tutorial ontologies: requirements, design, and content
Background. Most tutorial ontologies focus on illustrating one aspect of ontology development, notably language features and automated reasoners, but ignore ontology development factors, such as...
[1906.11964] OpenCitations, a scholarly infrastructure organisation dedicated to open scholarship
.@opencitations & its datasets, tools, services, activities: #DataModel; @sparontologies (Semantic Publishing & Referencing) #ontologies; open software for searching, browsing and providing REST APIs over RDF #graphDBs; and more #OpenScience #OA https://arxiv.org/abs/1906.11964
[1907.02106] Use of OWL and Semantic Web Technologies at Pinterest
Pinterest is a popular Web application that has over 250 million active users. It is a visual discovery engine for finding ideas for recipes, fashion, weddings, home decoration, and much more. In...
[1908.08572] From Community to Role-based Graph Embeddings
Roles are sets of structurally similar nodes that are more similar to nodes inside the set than outside, whereas communities are sets of nodes with more connections inside the set than outside...
[1909.02930] Structured Query Construction via Knowledge Graph Embedding
In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language questions. At the...