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H 2 RDF+

https://doi.org/10.1145/2588555.2594535
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00778-009-0165-yopenalex-snapshot
The RDF-3X engine for scalable management of RDF data
inferredcites →https://doi.org/10.1016/j.websem.2005.06.005openalex-snapshot
LUBM: A benchmark for OWL knowledge base systems
inferredcites →https://doi.org/10.1109/bigdata.2013.6691582openalex-snapshot
H2RDF+: High-performance distributed joins over large-scale RDF graphs
inferredcites →https://doi.org/10.1109/bigdata21311.2013openalex-snapshot
2013 IEEE International Conference on Big Data
inferredcites →https://doi.org/10.1109/laweb.2003.1250279openalex-snapshot
Storing RDF as a graph
inferredcites →https://doi.org/10.1109/mic.2013.43openalex-snapshot
~okeanos: Building a Cloud, Cluster by Cluster
inferredcites →https://doi.org/10.1109/tkde.2011.103openalex-snapshot
Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing
inferredcites →https://doi.org/10.1145/1013367.1013381openalex-snapshot
Jena
inferredcites →https://doi.org/10.1145/1963192.1963296openalex-snapshot
YAGO2
inferredcites →https://doi.org/10.1145/2187980.2188058openalex-snapshot
H2RDF
inferredcites →https://doi.org/10.14778/1453856.1453965openalex-snapshot
Hexastore
inferredcites →https://doi.org/10.14778/1920841.1920877openalex-snapshot
x-RDF-3X
inferredcites →https://doi.org/10.14778/2535570.2488333openalex-snapshot
A distributed graph engine for web scale RDF data
inferredcites →https://doi.org/10.14778/3402707.3402747openalex-snapshot
Scalable SPARQL querying of large RDF graphs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3199230openalex-extracted
RIQ: Fast Processing of SPARQL Queries on RDF Quadruples
inferred← citeshttps://doi.org/10.1002/9781119825968.ch15openalex-snapshot
Distributed Knowledge Management
inferred← citeshttps://doi.org/10.1007/978-3-030-00338-8_7openalex-snapshot
Storing and Querying Semantic Data in the Cloud
inferred← citeshttps://doi.org/10.1007/978-3-030-11196-0_21openalex-snapshot
Framework Architecture for Querying Distributed RDF Data
inferred← citeshttps://doi.org/10.1007/978-3-030-34223-4_41openalex-snapshot
OntoDS: An Ontology-Aware Distributed Storage Scheme for RDF Graphs
inferred← citeshttps://doi.org/10.1007/978-3-319-19548-3_23openalex-snapshot
Presto-RDF: SPARQL Querying over Big RDF Data
inferred← citeshttps://doi.org/10.1007/978-3-319-26187-4_27openalex-snapshot
Fusion of Big RDF Data: A Semantic Entity Resolution and Query Rewriting-Based Inference Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-26190-4_8openalex-snapshot
GraSS: An Efficient Method for RDF Subgraph Matching
inferred← citeshttps://doi.org/10.1007/978-3-319-49340-4_10openalex-snapshot
Non-native RDF Storage Engines
inferred← citeshttps://doi.org/10.1007/978-3-319-58068-5_31openalex-snapshot
Learning Commonalities in RDF
inferred← citeshttps://doi.org/10.1007/978-3-319-73515-3_4openalex-snapshot
Distributed RDF Query Processing
inferred← citeshttps://doi.org/10.1007/978-3-319-97271-8_4openalex-snapshot
Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1007/978-981-33-4367-2_24openalex-snapshot
A Survey on Efficient Management of Large RDF Graph for Semantic Web in Big Data
inferred← citeshttps://doi.org/10.1007/s00778-015-0415-0openalex-snapshot
Processing SPARQL queries over distributed RDF graphs
inferred← citeshttps://doi.org/10.1007/s10619-020-07305-yopenalex-snapshot
In-memory parallelization of join queries over large ontological hierarchies
inferred← citeshttps://doi.org/10.1007/s10994-016-5622-4openalex-snapshot
Big Data: from collection to visualization
inferred← citeshttps://doi.org/10.1007/s11280-021-00965-5openalex-snapshot
Efficient distributed path computation on RDF knowledge graphs using partial evaluation
inferred← citeshttps://doi.org/10.1007/s11704-016-5554-yopenalex-snapshot
A survey of RDF data management systems
inferred← citeshttps://doi.org/10.1007/s12652-018-0876-2openalex-snapshot
A survey of RDF management technologies and benchmark datasets
inferred← citeshttps://doi.org/10.1016/j.is.2021.101754openalex-snapshot
Relational schema optimization for RDF-based knowledge graphs
inferred← citeshttps://doi.org/10.1016/j.websem.2016.03.005openalex-snapshot
RIQ : Fast processing of SPARQL queries on RDF quadruples
inferred← citeshttps://doi.org/10.1016/j.websem.2018.02.002openalex-snapshot
Impact Analysis of Data Placement Strategies on Query Efforts in Distributed RDF Stores
inferred← citeshttps://doi.org/10.1109/bigdata.2016.7840792openalex-snapshot
A survey on semantic Web and big data technologies for social network analysis
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622534openalex-snapshot
A Complete Data Science Work-flow For Insurance Field
inferred← citeshttps://doi.org/10.1109/fskd.2017.8393028openalex-snapshot
A query method for domain ontology based on HBase
inferred← citeshttps://doi.org/10.1109/icde.2017.106openalex-snapshot
Extended Characteristic Sets: Graph Indexing for SPARQL Query Optimization
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00113openalex-snapshot
Efficient Cloud-Edge Collaborative Approaches to Sparql Queries Over Large RDF Graphs
inferred← citeshttps://doi.org/10.1109/innovate-data.2018.00009openalex-snapshot
Towards Making Distributed RDF Processing FLINKer
inferred← citeshttps://doi.org/10.1109/tbdata.2017.2710346openalex-snapshot
Semantic-Based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data
inferred← citeshttps://doi.org/10.1109/wi-iat.2015.186openalex-snapshot
SparkRDF: Elastic Discreted RDF Graph Processing Engine With Distributed Memory
inferred← citeshttps://doi.org/10.1145/2630602.2630603openalex-snapshot
Scalable Indexing and Adaptive Querying of RDF Data in the cloud
inferred← citeshttps://doi.org/10.1145/2723372.2723714openalex-snapshot
Graph-Aware, Workload-Adaptive SPARQL Query Caching
inferred← citeshttps://doi.org/10.1145/2723372.2723732openalex-snapshot
SQLGraph
inferred← citeshttps://doi.org/10.1145/2872518.2901923openalex-snapshot
DREAM in Action
inferred← citeshttps://doi.org/10.1145/3177850openalex-snapshot
RDF Data Storage and Query Processing Schemes
inferred← citeshttps://doi.org/10.1145/3297001.3297025openalex-snapshot
HyPSo
inferred← citeshttps://doi.org/10.2200/s00986ed1v01y202001dtm062openalex-snapshot
Cloud-Based RDF Data Management
inferred← citeshttps://doi.org/10.29007/6m2sopenalex-snapshot
Storing and Querying Semantic Data in the Cloud
inferred← citeshttps://doi.org/10.4018/jdm.2019010102openalex-snapshot
Map-Side Join Processing of SPARQL Queries Based on Abstract RDF Data Filtering
inferred← citeshttps://doi.org/10.48550/arxiv.2006.02862openalex-snapshot
A Novel Approach for Generating SPARQL Queries from RDF Graphs
inferred← citeshttps://doi.org/10.70675/aa7ad4a5z0f8dz452bzbc99z7b352c0e9a2copenalex-snapshot
Scalable algorithms for cloud-based Semantic Web data management
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