An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Olap Solutions: Building Multidimensional Information Systems
Olap Solutions: Building Multidimensional Information Systems
Hypothetical Queries in an OLAP Environment
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Spreadsheets in RDBMS for OLAP
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Graph indexing: a frequent structure-based approach
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
C-Cubing: Efficient Computation of Closed Cubes by Aggregation-Based Checking
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
Efficient aggregation for graph summarization
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Graph OLAP: Towards Online Analytical Processing on Graphs
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
RankClus: integrating clustering with ranking for heterogeneous information network analysis
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Scalable OLAP and mining of information networks
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
C-SPARQL: SPARQL for continuous querying
Proceedings of the 18th international conference on World wide web
A query language for analyzing networks
Proceedings of the 18th ACM conference on Information and knowledge management
Tolkien: an event based storytelling system
Proceedings of the VLDB Endowment
Managing and Mining Graph Data
Managing and Mining Graph Data
Graph regularized transductive classification on heterogeneous information networks
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Graph cube: on warehousing and OLAP multidimensional networks
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Refining graph partitioning for social network clustering
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Efficient topological OLAP on information networks
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Event correlation for process discovery from web service interaction logs
The VLDB Journal — The International Journal on Very Large Data Bases
A query language for analyzing business processes execution
BPM'11 Proceedings of the 9th international conference on Business process management
Transforming statistical linked data for use in OLAP systems
Proceedings of the 7th International Conference on Semantic Systems
Relation strength-aware clustering of heterogeneous information networks with incomplete attributes
Proceedings of the VLDB Endowment
Mining Knowledge from Data: An Information Network Analysis Approach
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Enhancing OLAP analysis with web cubes
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Enabling the analysis of cross-cutting aspects in ad-hoc processes
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Hi-index | 0.00 |
Graphs are essential modeling and analytical objects for representing information networks. Existing approaches, in on-line analytical processing on graphs, took the first step by supporting multi-level and multi-dimensional queries on graphs, but they do not provide a semantic-driven framework and a language to support n-dimensional computations, which are frequent in OLAP environments. The major challenge here is how to extend decision support on multidimensional networks considering both data objects and the relationships among them. Moreover, one of the critical deficiencies of graph query languages, e.g. SPARQL, is the lack of support for n-dimensional computations. In this paper, we propose a graph data model, GOLAP, for online analytical processing on graphs. This data model enables extending decision support on multidimensional networks considering both data objects and the relationships among them. Moreover, we extend SPARQL to support n-dimensional computations. The approaches presented in this paper have been implemented on top of FPSPARQL, Folder-Path enabled extension of SPARQL, and experimentally validated on synthetic and real-world datasets.