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Found 11 papers, 9 papers with code
Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition
A booming amount of information is continuously added to the Internet as structured and unstructured data, feeding knowledge bases such as DBpedia and Wikidata with billions of statements describing millions of entities.
Where is Linked Data in Question Answering over Linked Data?
We argue that "Question Answering with Knowledge Base" and "Question Answering over Linked Data" are currently two instances of the same problem, despite one explicitly declares to deal with Linked Data.
More Complete Resultset Retrieval from Large Heterogeneous RDF Sources
Presently, WimuQ is able to execute both federated and non-federated SPARQL queries over a total of 668, 166 datasets from LOD Stats and LOD Laudromat as well as 559 active SPARQL endpoints.
ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies
The ML-Schema, proposed by the W3C Machine Learning Schema Community Group, is a top-level ontology that provides a set of classes, properties, and restrictions for representing and interchanging information on machine learning algorithms, datasets, and experiments.
Neural Machine Translation for Query Construction and Composition
Research on question answering with knowledge base has recently seen an increasing use of deep architectures.
Where is my URI?
One of the Semantic Web foundations is the possibility to dereference URIs to let applications negotiate their semantic content.
Expeditious Generation of Knowledge Graph Embeddings
Knowledge Graph Embedding methods aim at representing entities and relations in a knowledge base as points or vectors in a continuous vector space.
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Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts
This deficiency is further sensed with respect to embeddings generated for structured data because there are no concrete evaluation metrics measuring the quality of the encoded structure as well as semantic patterns in the embedding space.
Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs
Graph representations of large knowledge bases may comprise billions of edges.
Mandolin: A Knowledge Discovery Framework for the Web of Data
Markov Logic Networks join probabilistic modeling with first-order logic and have been shown to integrate well with the Semantic Web foundations.
SPARQL as a Foreign Language
In the last years, the Linked Data Cloud has achieved a size of more than 100 billion facts pertaining to a multitude of domains.
Graph Question Answering
Knowledge Base Question Answering
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