A machine-learning approach to ranking RDF properties
In this paper we address the problem of providing an order of relevance, or ranking, among
entities' properties used in RDF datasets, Linked Data and SPARQL endpoints. We first …
entities' properties used in RDF datasets, Linked Data and SPARQL endpoints. We first …
Extracting entity-specific substructures for RDF graph embeddings
Abstract Knowledge Graphs (KGs) have become useful sources of structured data for
information retrieval and data analytics tasks. Enabling complex analytics, however, requires …
information retrieval and data analytics tasks. Enabling complex analytics, however, requires …
Important attribute identification in knowledge graph
S Sun, D Yang, H Zhang, Y Chen, C Wei… - arXiv preprint arXiv …, 2018 - arxiv.org
The knowledge graph (KG) composed of entities with their descriptions and attributes, and
relationship between entities, is finding more and more application scenarios in various …
relationship between entities, is finding more and more application scenarios in various …
Heuristic generation of dynamic quiz game using linked data and gamfication
A Parekh, N Shah, L Varshney, N Shah… - 2016 International …, 2016 - ieeexplore.ieee.org
In this paper, we propose a method to dynamically generate a quiz game which
automatically renders a quiz based on a given topic on the fly leveraging the DBpedia …
automatically renders a quiz based on a given topic on the fly leveraging the DBpedia …
Not all embeddings are created equal: Extracting entity-specific substructures for RDF graph embedding
Knowledge Graphs (KGs) are becoming essential to information systems that require access
to structured data. Several approaches have been recently proposed, for obtaining vector …
to structured data. Several approaches have been recently proposed, for obtaining vector …
Modularizing software process models for reuse
HD Rombach - … Workshop, Communication and Coordination in the …, 1991 - computer.org
Abstract In many Semantic Web applications, having RDF predicates sorted by significance
is of primarily importance to improve usability and performance. In this paper we focus on …
is of primarily importance to improve usability and performance. In this paper we focus on …
Computing on-the-fly dbpedia property ranking
In many Semantic Web applications, having RDF predicates sorted by significance is of
primarily importance to improve usability and performance. In this paper we focus on …
primarily importance to improve usability and performance. In this paper we focus on …
NPRank: Nexus based Predicate Ranking of Linked Data
RS Murugan… - … Conference on Data …, 2019 - ieeexplore.ieee.org
In the typical use case of browsing Linked Data in DBpedia, the user would find an average
of 180 facts attached to each entity. These facts are ordered alphabetically based on …
of 180 facts attached to each entity. These facts are ordered alphabetically based on …
Toward Automatic RDF Property Tagging
A Dessi - 2017 - iris.unica.it
This work investigates some problems about semantic properties (also known as predicates)
of Knowledge Bases, as part of the Semantic Web, for querying and ranking them toward a …
of Knowledge Bases, as part of the Semantic Web, for querying and ranking them toward a …