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NoSQL Graph-based OLAP Analysis

Arnaud Castelltort, Anne Laurent
2014 Proceedings of the International Conference on Knowledge Discovery and Information Retrieval  
Graph OLAP has been studied for several years in the OLAP framework. In existing work, the authors study how to import graph data into OLAP cube models.  ...  We show how cubes can be represented in graphs and how these structures can then be used for graph OLAP queries to support decision making.  ...  We thus consider adding OLAP features to NoSQL graph databases. In the literature, works have considered coupling graph and OLAP. Models have been proposed and have been implemented.  ... 
doi:10.5220/0005072902170224 dblp:conf/ic3k/CastelltortL14 fatcat:wdowqf5rsnbrlay27mu362oimm

Graph OLAP: a multi-dimensional framework for graph data analysis

Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu
2009 Knowledge and Information Systems  
Unfortunately, to our best knowledge, there are no OLAP tools available that can interactively view and analyze graph data from different perspectives and with multiple granularities.  ...  , guided by expert rules and knowledge discovery processes.  ...  On utilizing the framework for knowledge discovery, we propose discovery-driven Graph OLAP, so that interesting patterns and knowledge can be effectively discovered.  ... 
doi:10.1007/s10115-009-0228-9 fatcat:zprapt66jvgx5dpynqybbozqli

OLAP on Information Networks: A New Framework for Dealing with Bibliographic Data [chapter]

Wararat Jakawat, Cécile Favre, Sabine Loudcher
2014 Advances in Intelligent Systems and Computing  
In this context, we discuss the interest of combining information networks, OLAP and data mining technologies.  ...  In the context of decision making, data warehouses support OLAP technology and they have been very useful for efficient analysis onto structured data.  ...  Dimension and measure concepts, found in traditional OLAP domain, should be re-defined for Graph OLAP. At first, there are actually two types of graph OLAP dimensions.  ... 
doi:10.1007/978-3-319-01863-8_38 fatcat:bwu3omhlo5blxmpbz5i2zld2ua

Combining OLAP and information networks for bibliographic data analysis: a survey

Sabine Loudcher, Wararat Jakawat, Edmundo Pavel Soriano Morales, Cécile Favre
2015 Scientometrics  
We also propose a comparison between traditional OLAP and OLAP on information networks and discuss the challenges OLAP faces regarding bibliographic networks.  ...  Originally, OLAP was introduced to analyze structured data. However, in this paper, we wonder if, by combining OLAP and information networks, we can provide a new way of analyzing bibliographic data.  ...  In contrast, Yin et al. and Beheshti et al. proposed new operations to view knowledge inside graph cubes [33, 2] .  ... 
doi:10.1007/s11192-015-1539-0 fatcat:unu6qfj4ebasnf3zq2vgesc63m

Graph BI & Analytics: Current State and Future Challenges [chapter]

Amine Ghrab, Oscar Romero, Salim Jouili, Sabri Skhiri
2018 Lecture Notes in Computer Science  
We survey the topics of graph modeling, management, processing and analysis in graph warehouses.  ...  This paper focuses on the emerging field of graph warehousing. Graphs are widespread structures that yield a great expressive power.  ...  Relevantly, SPARQL enables to activate generic reasoning capabilities when querying knowledge graphs to infer non-explicit knowledge.  ... 
doi:10.1007/978-3-319-98539-8_1 fatcat:56fgfclobveifcbkwvbyejt5pi

A New Tool for Textual Aggregation In Information Retrieval

Mustapha Bouakkaz, Sabine Loudcher, Youcef Ouinten
2016 Proceedings of the 18th International Conference on Enterprise Information Systems  
We present in this paper a system for textual aggregation from scientific documents in the online analytical processing (OLAP) context.  ...  The first one uses statistical meth- ods; the second one is based on linguistic knowledge; the third one is based on graphs; while the last uses external knowledge.  ...  This makes the task of text OLAP and knowledge extraction from textual documents very limited and reduces the competitive advantage we can gain.  ... 
doi:10.5220/0005879702320237 dblp:conf/iceis/BouakkazLO16 fatcat:jho65wrsvrfqxaxl5jjhnqnebu

InfoNetOLAP: OLAP and Mining of Information Networks [chapter]

Chen Chen, Feida Zhu, Xifeng Yan, Jiawei Han, Philip Yu, Raghu Ramakrishnan
2010 Link Mining: Models, Algorithms, and Applications  
Chen et al. of data, aggregated graphs that depend on the underlying "graph" properties of the information networks are much harder to compute than their traditional OLAP counterparts.  ...  intelligent manner, guided by expert rules and knowledge discovery processes.  ...  On utilizing the framework for knowledge discovery, we propose discoverydriven InfoNetOLAP, so that interesting patterns and knowledge can be effectively discovered.  ... 
doi:10.1007/978-1-4419-6515-8_16 fatcat:z5egugh25rhldcon3uy3fqkotq

OLGAVis: On-Line Graph Analysis and Visualization for Bibliographic Information Network

Sunhwa Jo, Beomjun Park, Suan Lee, Jinho Kim
2021 Applied Sciences  
Real-world systems that are composed of various types of components, their interactions, and relationships, and numerous applications are often modeled as graphs or network structures to represent and  ...  The visualization tool that was developed through this study will be used to conveniently perform various online analysis of the bibliographic data, and the information and knowledge acquired as a result  ...  ), while the OLAP performed on topological dimension is defined as topological OLAP (T-OLAP); the graphs aggregated and generated by each OLAP were defined as I-aggregated Graph and T-aggregated Graph,  ... 
doi:10.3390/app11093862 doaj:093449c950624f8babf3ad52418b9bc5 fatcat:zluglawsprgrrpfjuazm3zgwim

Efficient Topological OLAP on Information Networks [chapter]

Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li
2011 Lecture Notes in Computer Science  
To the best of our knowledge, this is the first work to give a framework study for topological OLAP on information networks.  ...  We propose a framework for efficient OLAP on information networks with a focus on the most interesting kind, the topological OLAP (called "T-OLAP"), which incurs topological changes in the underlying networks  ...  OLAP operations could expose two kinds of knowledge that are hard to discover in the original network. 1. Integrating knowledge from different parts of the network.  ... 
doi:10.1007/978-3-642-20149-3_29 fatcat:qpjzsw5xn5cjvcsne5nsbcjuri

Supporting OLAP operations over imperfectly integrated taxonomies

Yan Qi, K. Selçuk Candan, Junichi Tatemura, Songting Chen, Fenglin Liao
2008 Proceedings of the 2008 ACM SIGMOD international conference on Management of data - SIGMOD '08  
OLAP is an important tool in decision support. With the help of domain knowledge, such as hierarchies of attribute values, OLAP helps the user observe the effects of various decisions.  ...  One assumption of most OLAP operations is that the available domain knowledge is precise. In particular, they assume that the hierarchy of values over which the user can navigate forms a taxonomy.  ...  Such imperfections in integrated data sets pose challenges for OLAP operations, such as drill-down and roll-up, as these usually rely on taxonomical knowledge structures.  ... 
doi:10.1145/1376616.1376703 dblp:conf/sigmod/QiCTCL08 fatcat:wdqbsjis2ndl7auqnjvmuaesde

Publishing OLAP Cubes on the Semantic Web [chapter]

Alejandro Vaisman
2016 Lecture Notes in Business Information Processing  
o.} 7/6/2015 DW & OLAP on the Semantic Web 63 SPARQL Query Main idea: Pattern matching • Queries describe sub-graphs of the queried graphGraph patterns are RDF graphs specified in Turtle  ...  • LOAD: reads the content of a document into a graph • COPY/MOVE/APPEND: manipulates at named graph level • CLEAR/DROP: removes all triples in one or more graph 7/6/2015 DW & OLAP on the Semantic  ...  DW & OLAP on the Semantic Web nw:stateName a qb4o:LevelAttribute ; rdfs:label "State Name"@en ; rdfs:range xsd:string . nw:englishStateName a qb4o:LevelAttribute ; rdfs:label "English State Name"@en ;  ... 
doi:10.1007/978-3-319-39243-1_2 fatcat:lhcif5ej3nftpoub6es25ihdae

SETLBI: An Integrated Platform for Semantic Business Intelligence

Rudra Pratap Deb Nath, Katja Hose, Torben Bach Pedersen, Oscar Romero, Amrit Bhattacharjee
2020 Companion Proceedings of the Web Conference 2020  
Then, semantic analysis graphs are built on top of the MD schema where each node of the graph presents an analysis situation corresponding to a MD query and an edge corresponds to a set of OLAP operations  ...  At first, each schema of (structured or semi-structured) data sources and the data warehouse is described by a common graph-based model named the datastore graph.  ... 
doi:10.1145/3366424.3383533 dblp:conf/www/NathHP0B20 fatcat:ej4k656t4jc6hiw5wvgag4c7fq

Using superimposed multidimensional schemas and OLAP patterns for RDF data analysis

Median Hilal, Christoph G. Schuetz, Michael Schrefl
2018 Open Computer Science  
Most RDF data sources, however, do not correspond to the MD modeling paradigm and, as a consequence, elude traditional OLAP.  ...  The foundations for traditional data analysis are Online Analytical Processing (OLAP) systems that operate on multidimensional (MD) data.  ...  Analysis graphs, which have been originally proposed for relational OLAP, "represent expert knowledge about analysis processes" which are "modelled pro-actively at schema level and used at instance level  ... 
doi:10.1515/comp-2018-0003 fatcat:fimngrnvpzdkxdsefuv2k7skxy


Yintao Yu, Bo Zhao, Cindy X. Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang
2009 Proceedings of the VLDB Endowment  
Searching, OLAP, and mining such databases pose many research challenges.  ...  Recent years have seen OLAP cubes extended to new domains, such as graphs, sequences, XML data, spatial data and mobile data. There are many existing methods to summarize text databases.  ...  However, it is time-consuming and error-prone to rely on domain experts to provide such knowledge.  ... 
doi:10.14778/1687553.1687608 fatcat:ikas64hehzewjk5cgr3i4nwd5q

OLAP textual aggregation approach using the Google similarity distance

Mustapha Bouakkaz, Sabile Loudcher, Youcef Ouinten
2016 International Journal of Business Intelligence and Data Mining  
Data warehousing and On-Line Analytical Processing (OLAP) are essential elements to decision support.  ...  This approach will highlight aggregates semantically richer than those provided by classical OLAP operators.  ...  The first one is based on linguistic knowledge, the second one on external knowledge, the third is based on graphs, while the last one is based on statistical methods.  ... 
doi:10.1504/ijbidm.2016.076425 fatcat:wnclc762zvdefchacghmhj2gyq
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