All Outputs (14)

Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities (2022)
Journal Article

In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integrating disparate sources of knowledge to discover adverse drug effects caused by drug–drug interactions among COVID-19 treatments and pre-existing condi... Read More about Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities.

Need for design patterns: Interoperability issues and modelling challenges for observational data (2022)
Preprint / Working Paper

Interoperability issues concerning observational data have gained attention in recent times. Automated data integration is important when it comes to the scientific analysis of observational data from different sources. However, it is hampered by var... Read More about Need for design patterns: Interoperability issues and modelling challenges for observational data.

Accessing and integrating citizen science sensor data: Evaluation of OGC sensor observation service implementations (2019)
Presentation / Conference Contribution

Adaptive partitioning using partial replication for sensor data (2018)
Presentation / Conference Contribution

There is a huge increase in IoT network size and applications. It has increased the amount of the IoT data that needs to be handled by the applications. State-of-the art workload based static partitioning methods scale poorly and often result in poor... Read More about Adaptive partitioning using partial replication for sensor data.

Log based method for faster IoT queries (2017)
Presentation / Conference Contribution

With increase in size of Internet of Things IoT device networks and applications, tremendous increase is witnessed in IoT data. Efficient storage and querying of this data is of major concern. This paper addresses the issue of faster query processing... Read More about Log based method for faster IoT queries.

DWAHP: workload aware hybrid partitioning and distribution of RDF data (2017)
Presentation / Conference Contribution

Proliferation of RDF data has reached to a peak where data is partitioned across multiple nodes. Significant contribution for developing solutions to manage RDF data in distributed environment is witnessed in recent years. We propose a workload aware... Read More about DWAHP: workload aware hybrid partitioning and distribution of RDF data.

Workload aware hybrid partitioning (2016)
Presentation / Conference Contribution

Real life databases exhibit highly skewed access patterns. These skewed access patterns can be exploited to partition the data considering the query workload. The presented work proposes Workload Aware Hybrid Partitioning (WAHP). WAHP identifies clus... Read More about Workload aware hybrid partitioning.

Hot and cold data classification for main memory databases (2015)
Presentation / Conference Contribution

Query execution for RDF data on row and column store (2015)
Presentation / Conference Contribution

This paper shows experimental comparison between various data storage techniques to manage RDF data. The work represents evaluation of query performance in terms of query execution time and data scalability, using row and column store for various dat... Read More about Query execution for RDF data on row and column store.

Query execution for rdf data using structure indexed vertical partitioning (2015)
Presentation / Conference Contribution

The paper explores use of various partitioning methods to store RDF data effectively, to meet the needs of extensively growing highly interactive semantic web applications. It proposes a combinational approach of structure index partitioning and vert... Read More about Query execution for rdf data using structure indexed vertical partitioning.

Data management for Internet of Things (2015)
Presentation / Conference Contribution

Internet of Things is projected to connect uniquely identifiable devices over the network to build an interactive system with high velocity and volume of data placing forth a challenge of interoperability between such devices. RDF provides a common s... Read More about Data management for Internet of Things.

Data partitioning for semantic web (2014)
Journal Article

Semantic web database is an RDF database. Tremendous increase can be seen in semantic web data, as real life applications of semantic web are using this data. Efficient management of this data at a larger scale, and efficient query performance are th... Read More about Data partitioning for semantic web.

Faster query execution for partitioned RDF data (2013)
Presentation / Conference Contribution

This work demonstrates use of Materialized Views to enhance query performance for partitioned RDF data. Given a query, our system determines which views or combinations thereof can be used to answer it. Break- even analysis for the proposed system ha... Read More about Faster query execution for partitioned RDF data.

Semantic web data partitioning (2012)
Book Chapter