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Distributed Keyword Search over RDF via MapReduce [chapter]

Roberto De Virgilio, Antonio Maccioni
2014 Lecture Notes in Computer Science  
In this paper, we illustrate a novel distributed approach to keyword search over RDF data that exploits the MapReduce paradigm by switching the problem from graph-parallel to data-parallel processing.  ...  To this aim, keyword-based search is considered an essential feature of database systems.  ...  By exploiting a path-store for RDF, we reverse the distributed keyword search over RDF from a graph-parallel problem to a data-parallel problem.  ... 
doi:10.1007/978-3-319-07443-6_15 fatcat:qpka7bh6gveq7gnylj4mqcdbzq

An Effective and Efficient MapReduce Algorithm for Computing BFS-Based Traversals of Large-Scale RDF Graphs

Alfredo Cuzzocrea, Mirel Cosulschi, Roberto de Virgilio
2016 Algorithms  
In line with this trend, in this paper, we present an approach for efficiently implementing traversals of large-scale RDF graphs over MapReduce that is based on the Breadth First Search (BFS) strategy  ...  for visiting (RDF) graphs to be decomposed and processed according to the MapReduce framework.  ...  This opens the door to a wide family of database-like applications, such as keyword search over RDF data (e.g., [12] ).  ... 
doi:10.3390/a9010007 fatcat:wxorzsnnovbjvpnoc4prrucnty

ICDE conference 2015 detailed author index

2015 2015 IEEE 31st International Conference on Data Engineering  
Search over Relational Databases Daudjee, Khuzaima 807 Executing Queries over Schemaless RDF Databases Davidson, Susan B. 375 Answering Regular Path Queries on Workflow Provenance De Bra,  ...  Tamer 807 Executing Queries over Schemaless RDF Databases 1508 A Graph-Based RDF Triple Store [Search] A B C D E F G H I J K L M N O P Q R S T U V W X Y Z P P., Deepak 999 Indexing and Matching  ... 
doi:10.1109/icde.2015.7113260 fatcat:ep7pomkm55f45j33tkpoc5asim

On the development of health tourism semantic web with its parallel engine

Chidchanok Choksuchat, Chantana Chantrapornchai
2016 International Journal of Metadata, Semantics and Ontologies  
Finally, we investigated the potential of parallelism to improve the semantic search performance, looking at both multicore and MapReduce cluster technologies.  ...  We used our ontology to build a semanticweb-based search application for health tourism in Hua Hin district of Thailand.  ...  We also would like to thank you Yuwathida Chiwpreechar for implementing MapReduce search and testing the parallel performance, and Pasita Butphan for implementing semantic web application and testing the  ... 
doi:10.1504/ijmso.2016.078103 fatcat:cnjhw6fkgva5raubxfeul4jahe

Large Scale Microblogging Intentions Analysis with Pattern Based Approach

Mohamed Hamroun, Mohamed Salah Gouider, Lamjed Ben Said
2016 Procedia Computer Science  
In this paper, we describe a large-scale distributed system for intentions analysis process based on lexico semantic patterns using Hadoop Distributed File System (HDFS) and MapReduce functions.  ...  The proposed MapReduce functions have effectively performed intentions analysis in the experiments.  ...  Then, these data go through intention analysis via the MapReduce functions. Fig.3 illustrates the general framework of porting Patterns Engine on Hadoop Mapreduce.  ... 
doi:10.1016/j.procs.2016.08.169 fatcat:4uzqlyphnrczjaouvi24b5jusq

Lightweight Semantics over Web Information Systems Content Employing Knowledge Tags [chapter]

Mária Bieliková, Karol Rástočný
2012 Lecture Notes in Computer Science  
Proposed repository stores knowledge tags in Open Annotation model and supports inference via distributed SPARQL query processing algorithm for MapReduce.  ...  We realized the web-scale repository via the MongoDB database.  ...  We decided for MongoDB 2 which matches our requirements: it provides efficient data access (loading and updating) and supports distributed data processing via MapReduce [14] .  ... 
doi:10.1007/978-3-642-33999-8_39 fatcat:2rojnvybfjfvbclvysklpq562i

A Fine Grain Sentiment Analysis with Semantics in Tweets

Cristobal Barba Gonzalez, José García-Nieto, Ismael Navas-Delgado, José Aldana-Montes
2016 International Journal of Interactive Multimedia and Artificial Intelligence  
We offer a combination of Big Data tools (under the Apache Hadoop framework) and sentiment analysis using RDF graphs supporting the study of the tweet's lexicon.  ...  The discovery component searches for certain keywords on Twitter.  ...  The core of Hadoop consists of a storage component, known as Hadoop Distributed File System (HDFS), and a processing engine called MapReduce.  ... 
doi:10.9781/ijimai.2016.363 fatcat:w6kehyzkevee7gvsuexwr7lu7i

ICDE conference 2015 table of contents

2015 2015 IEEE 31st International Conference on Data Engineering  
Papalexakis, U Kang, Christos Faloutsos) 1059 Groupwise Analytics via Adaptive MapReduce (Liping Peng, Kai Zeng, Andrey Balmin, Vuk Ercegovac, Peter J.  ...  , Lu Qin, Xuemin Lin, Lijun Chang, Wenjie Zhang) 399 Ranking Candidate Networks of Relations to Improve Keyword Search over Relational Databases (Pericles de Oliveira, Altigran da Silva, Edleno de  ...  Industry Session 3: Big Data 1304 Accelerating Big Data Analytics with Collaborative Planning in Teradata Aster 6 (Aditi Pandit, Derrick Kondo, David Simmen, Anjali Norwood, Tongxin Bai) [Search]  ... 
doi:10.1109/icde.2015.7113258 fatcat:yvim4gc5rfhevoehwfvl35nqji

The Internet of Things: A Survey from the Data-Centric Perspective [chapter]

Charu C. Aggarwal, Naveen Ashish, Amit Sheth
2012 Managing and Mining Sensor Data  
Such data needs to be processed in real-time and the processing may be highly distributed in nature.  ...  data collection technology, such as pervasive and embedded devices, and RFID Technology have lead to a large number of smart devices which are connected to the net and continuously transmit their data over  ...  The MapReduce framework is very powerful in terms of enabling distributed search and indexing capabilities across the semantic web.  ... 
doi:10.1007/978-1-4614-6309-2_12 fatcat:rgrbqjfllzb2tkgnixdrzfvdfy

RDF Link Generation by Exploring Related Links on the Web of Data

Kumar Sharma, Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India, Ujjal Marjit, Utpal Biswas
2018 International Journal of Information Technology and Computer Science  
In this article, we present an approach for generating RDF links using the similarity measure between two RDF resources and by exploring associated relationships of the matched resources.  ...  The idea is to find related resources and link them with an RDF resource that is being generated.  ...  The DBpedia lookup service provides two APIs: Keyword Search and Prefix Search. Here we follow keyword search which uses the given string to find the related resources.  ... 
doi:10.5815/ijitcs.2018.10.08 fatcat:4i7dgpia35gvxhfryhzggnyh7y

Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing

Mohammad Husain, James McGlothlin, Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham
2011 IEEE Transactions on Knowledge and Data Engineering  
We describe a scheme to store RDF data in Hadoop Distributed File System.  ...  We use Hadoop's MapReduce framework to answer the queries. Our results show that we can store large RDF graphs in Hadoop clusters built with cheap commodity class hardware.  ...  However, to date, there is no distributed repository for storing and managing RDF data.  ... 
doi:10.1109/tkde.2011.103 fatcat:37xu64tygzgzplb7ddaybgyozq

Distributed SPARQL over Big RDF Data: A Comparative Analysis Using Presto and MapReduce

Mulugeta Mammo, Srividya K. Bansal
2015 2015 IEEE International Congress on Big Data  
In the past two and half years, however, heavy users of big data systems, like Facebook, noted limitations with the query performance of these big data systems and began to develop new distributed query  ...  process RDF data.  ...  The MapReduce programming can be defined as a programming model and an associated implementation for processing and generating large data sets using a parallel, distributed algorithm over a cluster of  ... 
doi:10.1109/bigdatacongress.2015.15 dblp:conf/bigdata/MammoB15 fatcat:reiximps5ragvnqnynsm735m7a

ICDE conference 2014 detailed author index

2014 2014 IEEE 30th International Conference on Data Engineering  
Cardinality Estimation of XPath Queries Over Distributed Semistructured Data Ravishankar, Chinya V. 256 On Masking Topical Intent in Keyword Search R continues on next page… [Search] A B C  ...  ] A B ICDE Conference 2014 Detailed Author Index [Page 41 / 56] Singh, Ambuj K. 160 Nearest Keyword Set Search in Multi-Dimensional Datasets 832 Cloud Service Placement via Subgraph Matching  ... 
doi:10.1109/icde.2014.6816627 fatcat:bmnfkwqucfcmhet64s2o6ns5ky

Data Intensive Query Processing for Large RDF Graphs Using Cloud Computing Tools

Mohammad Farhan Husain, Latifur Khan, Murat Kantarcioglu, Bhavani Thuraisingham
2010 2010 IEEE 3rd International Conference on Cloud Computing  
We describe a scheme to store RDF data in Hadoop Distributed File System.  ...  We use Hadoop's MapReduce framework to answer the queries. Our results show that we can store large RDF graphs in Hadoop clusters built with cheap commodity class hardware.  ...  They observed performance improvement with their scheme over traditional relational database schemes. Researchers have also used MapReduce for inferencing RDF data.  ... 
doi:10.1109/cloud.2010.36 dblp:conf/IEEEcloud/HusainKKT10 fatcat:d427kqgbsfaejckvygzqpqzgzq

A new system for massive RDF data management using Big Data query languages Pig, Hive, and Spark

Banane Mouad et. al.
2020 International Journal of Computing and Digital Systems  
We conducted that an experiment on three datasets containing a large volume of distributed RDF data on a powerful server cluster to validate our approach.  ...  For this kind of data, a specialized tool called SPARQL is dedicated to query semantic data represented by the Resource Description Framework or RDF.  ...  [17] present a distributed and scalable RDF triplestore based on the HBase database, the RDF triples are stored in column format, and to manage these data RDF San and al proposes a new MapReduce strategy  ... 
doi:10.12785/ijcds/090211 fatcat:en4ndsz26vf65iyikvc47un4nm
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