Search results
Results From The WOW.Com Content Network
GeoGebra (a portmanteau of geometry and algebra) is an interactive geometry, algebra, statistics and calculus application, intended for learning and teaching mathematics and science from primary school to university level.
The tool comes pre-programmed with 36 different example graphs for the purpose of teaching new users about the tool and the mathematics involved. [15] As of April 2017, Desmos also released a browser-based 2D interactive geometry tool, with supporting features including the plotting of points, lines, circles, and polygons.
Mathematica, a general-purpose computation tool that includes 2D and 3D graph visualization and graph analysis tools. [29] Microsoft Automatic Graph Layout, open-source .NET library (formerly called GLEE) for laying out graphs [30] NetworkX is a Python library for studying graphs and networks. Tulip, [31] an open-source data visualization tool
graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++ , making extensive use of metaprogramming , based heavily on the Boost Graph Library . [ 1 ]
The final step is a collective disambiguation by comparing binary vectors of hand-crafted features each entity's context. Cucerzan's system is still used as baseline for recent work. [27] Rao et al. [16] proposed a two-step algorithm to link named entities to entities in a target knowledge base. First, candidate entities are chosen using string ...
Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1.000.000 elements). yEd, a free Java-based graph editor, supports import from and export to GML. The Graphviz project includes two command-line tools (gml2gv and gv2gml) that can convert to and from the DOT file ...
Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
The term was coined as early as 1972 by the Austrian linguist Edgar W. Schneider, in a discussion of how to build modular instructional systems for courses. [6] In the late 1980s, the University of Groningen and University of Twente jointly began a project called Knowledge Graphs, focusing on the design of semantic networks with edges restricted to a limited set of relations, to facilitate ...