A systematic review and comparative analysis of cross-document coreference resolution methods and tools
Abstract Information extraction (IE) is the task of automatically extracting structured
information from unstructured/semi-structured machine-readable documents. Among various …
information from unstructured/semi-structured machine-readable documents. Among various …
Optimization of complex dataflows with user-defined functions
In many fields, recent years have brought a sharp rise in the size of the data to be analyzed
and the complexity of the analysis to be performed. Such analyses are often described as …
and the complexity of the analysis to be performed. Such analyses are often described as …
Large scale graph processing systems: survey and an experimental evaluation
Graph is a fundamental data structure that captures relationships between different data
entities. In practice, graphs are widely used for modeling complicated data in different …
entities. In practice, graphs are widely used for modeling complicated data in different …
Big data 2.0 processing systems: Taxonomy and open challenges
Data is key resource in the modern world. Big data has become a popular term which is
used to describe the exponential growth and availability of data. In practice, the growing …
used to describe the exponential growth and availability of data. In practice, the growing …
Benchmarking big data systems: A survey
With the enormous growth on the availability and usage of Big Data storage and processing
systems, it has become essential to assess the various performance aspects of these …
systems, it has become essential to assess the various performance aspects of these …
Optimization of task allocation in a cluster-based sensor network
Sensor networks have recently gained a lot of attention from the research community.
Sensors are significantly resource-constrained devices and last till the depletion of their …
Sensors are significantly resource-constrained devices and last till the depletion of their …
A survey on semantic web and big data technologies for social network analysis
Social Network Analysis (SNA) has become a very important and increasingly popular topic
among researchers in recent years especially after emerging Semantic Web and Big Data …
among researchers in recent years especially after emerging Semantic Web and Big Data …
Big graph processing systems: State-of-the-art and open challenges
Graph is a fundamental data structure that captures relationships between different data
entities. In practice, graphs are widely used for modeling complicated data in different …
entities. In practice, graphs are widely used for modeling complicated data in different …
Graph processing using a shared memory
Examples herein involve graph processing using a shared memory. An example method
includes distributing vertices of a graph to a plurality of graph partition processors of a …
includes distributing vertices of a graph to a plurality of graph partition processors of a …