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Minimum motif-cut: a workload-aware RDF graph partitioning strategy
In designing a distributed RDF system, it is quite common to divide an RDF graph into subgraphs, called partitions , which are then distributed. Graph...
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A RDF-based graph to representing and searching parts of legal documents
Despite the public availability of legal documents, there is a need for finding specific information contained in them, such as paragraphs, clauses,...
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Path-based approximate matching of fuzzy spatiotemporal RDF data
As fuzzy spatiotemporal information continuously increases in RDF database, it is challenging to model and query fuzzy spatiotemporal RDF data...
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Feature selection based on the complexity of structural patterns in RDF graphs
The resource description framework (RDF) is a framework for describing metadata, such as attributes and relationships of resources on the Web....
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Unifying Faceted Search and Analytics over RDF Knowledge Graphs
The formulation of analytical queries over Knowledge Graphs in RDF is a challenging task that presupposes familiarity with the syntax of the...
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GSBRL : Efficient RDF graph storage based on reinforcement learning
Knowledge is the cornerstone of artificial intelligence, which is often represented as RDF graphs. The large-scale RDF graphs in various fields pose...
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RDF-Gen: generating RDF triples from big data sources
Transforming disparate and heterogeneous data sources that provide large volumes of data in high velocity into a common form allows integrated and...
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A similar structural and semantic integrated method for RDF entity embedding
Resource Description Framework (RDF) graphs have become an important data source for many knowledge discovery algorithms and data mining tasks....
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Compressed and queryable self-indexes for RDF archives
RDF compression and querying are consolidated topics in the Web of Data, with a plethora of solutions to efficiently store and query static datasets....
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Queries with aggregate functions over fuzzy RDF data
Since the World Wide Web Consortium (W3C) recommended the Resource Description Framework (RDF) data model, it has been widely adopted and applied in...
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PEG: A Partial Evaluation-based Distributed RDF Graph System
In this demo, we implement a Partial Evaluation-based distributed RDF Graph system (PEG for short), which can implement partial evaluation without...
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Modeling and querying temporal RDF knowledge graphs with relational databases
RDF (Resource Description Framework), a standard resource description model, is popularized and applied in many application scenarios for its...
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RGS\(^\oplus \): RDF graph synchronization for collaborative robotics
In the context of collaborative robotics, distributed situation awareness is essential for supporting collective intelligence in teams of robots and...
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Human-Friendly RDF Graph Construction: Which One Do You Chose?
Knowledge Graphs (KGs) are a powerful mechanism to structure and organize data on the Web. RDF KGs are usually constructed by declaring a set of...
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Space/time-efficient RDF stores based on circular suffix sorting
The resource description framework (RDF) has gained popularity as a format for the standardized publication and exchange of information in the Web of...
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Efficient rule mining and compression for RDF style KB based on Horn rules
The volume of published linked open datasets in RDF format is growing exponentially in the last decades. With this continuous proliferation of this...
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Answering Property Path Queries over Federated RDF Systems
Property path query can get graph nodes meeting complex conditions with more concise expressions for some SPARQL basic graph patterns, which is an...
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Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services
Web services are provided with documents that at the very least specify the endpoint, input parameters, and output or response of each operation to...
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RDF Query Processing: Relational Vs. Graph Approach
The data volume for the resource description framework (RDF) is growing rapidly. To query this large amount of data, two types of query processing...
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Knowledge Graph Multilevel Abstraction: A Property Graph Reification Based Approach
Adding knowledge to data or information is an essential step for new information system, which need to break down silos in order to support a large...