Biomedical data, e.g. from knowledge bases and ontologies, is increasingly made available following open linked data principles, at best as RDF triple data. This a necessary step towards unified access to biological sets, but this still requires solutions query multiple endpoints for their heterogeneous eventually retrieve all the meaningful information. Suggested are based on federation approaches, which require submission of SPARQL queries endpoints. Due size complexity these have be...

Triplestores are data management systems for storing and querying RDF data. Over recent years, various benchmarks have been proposed to assess the performance of triplestores across different measures. However, choosing most suitable benchmark evaluating in practical settings is not a trivial task. This because experience varying workloads when deployed real applications. We address problem determining an appropriate given real-life workload by providing fine-grained comparative analysis...

Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these is tightly controlled by stakeholders; consequently, privacy a major concern when federating queries over such datasets. In the Healthcare Life Sciences (HCLS) domain real-world datasets contain statistical information: strict ownership granted individuals working hospitals, research labs, clinical trial organisers, etc....

Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing massive amount of sequencing datasets. Often, these datasets published from isolated different facilities. Consequently, process sharing aggregating multisite thwarted by issues such as need to discover relevant data sources, built scalable repositories, automation linkage, volume data, efficient querying mechanism, information rich...

Access to hundreds of knowledge bases has been made available on the Web through public SPARQL endpoints. Unfortunately, few endpoints publish descriptions their content (e.g., using VoID). It is thus unclear how agents can learn about a given endpoint or, relatedly, find with relevant needs. In this paper, authors investigate feasibility system that gathers information by querying them directly own content. With advent 1.1 and features such as aggregates, it now possible specify queries...

A mishap in anti-cancer drug distribution is critical breast cancer patients due to poor prediction model identify the treatment regime ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for depends on change expression across normal-disease pair. However, it certainly misses multidimensional aspect underlying cause of relapse, such as various mutations, dosage side effects, methylation, etc. In this paper, we have developed a multi-layer neural network classify...

While the volume of graph data available on Web in RDF is steadily growing, SPARQL, as standard query language for still remains effectively unusable basic task finding paths through between selected nodes. Property Paths, introduced SPARQL 1.1 are unfit this purpose, they can only be used to test path existence. More expressive features, such counting distinct two nodes, have been shown highly intractable worst case, particular graphs with high degree cyclicity. Still, practical use cases...

Query containment is a fundamental problem in data management with its main application being global query optimization. A number of SPARQL solvers for have been recently developed. To the best our knowledge, Containment Benchmark (QC-Bench) only benchmark evaluating these solvers. However, this contains fixed synthetic queries, which were handcrafted by creators. We propose SQCFramework, generation framework able to generate customized benchmarks from real logs. The flexible enough varying...

Industry 4.0 (I4.0) is a new era in the industrial revolution that emphasizes machine connectivity, automation, and data analytics. The I4.0 pillars such as autonomous robots, cloud computing, horizontal vertical system integration, internet of things have increased performance efficiency production lines manufacturing industry. Over past years, efforts been made to propose semantic models represent domain knowledge, one model Reference Generalized Ontological Model (RGOM).11...

A key property of linked data, i.e., the web-based representation and publication data as interconnected labeled graphs, is that it enables querying navigating through datasets distributed across network. SPARQL1.1, current standard query language for RDF-based defines a construct-called paths (PP)-to navigate between entities graph. This potentially very useful in number use cases, e.g., biomedical domain, where large are available graphs. However, PP SPARQL 1.1. possible only on single...

We present the Linked SPARQL Queries (LSQ) dataset, which currently describes 43.95 million executions of 11.56 unique queries extracted from logs 27 different endpoints. The LSQ dataset provides RDF descriptions each such query, are indexed in a public endpoint, allowing interested parties to find with characteristics they require. begin by describing use cases envisaged for include applications research on common features queries, building custom benchmarks, and designing user interfaces....

Interest in renewable energy resources (RER) is increased due to improved public awareness of the high cost and adverse environmental impacts conventional resources. Causes a transition new generation power networks which, among others characteristics, allows more flexible demand consumption under various Demand Response Programs (DRPs). Variable stochastic strongly influencing electricity markets makes DRP extremely complex nature. Therefore, potential rapid growth future for these sources...

In this paper, we have introduced JS-multiplicative metric space and proved some fixed point theorems in space. This new function is a generalized form of several functions such as multiplicative metric, dislocated b-metric b-metric-like.