Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer
A new interactive visualization tool is proposed for mining text data from various fields of neuroscience. Applications to several text datasets are presented to demonstrate the capability of the proposed interactive tool to visualize complex relationships between pairs of lexical entities (with som...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2007-11-01
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| Series: | Frontiers in Neuroinformatics |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/neuro.11.007.2007/full |
| _version_ | 1819101274788855808 |
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| author | Antoine P Naud Antoine P Naud Shiro Usui Naonori Ueda Tatsuki Taniguchi |
| author_facet | Antoine P Naud Antoine P Naud Shiro Usui Naonori Ueda Tatsuki Taniguchi |
| author_sort | Antoine P Naud |
| collection | DOAJ |
| description | A new interactive visualization tool is proposed for mining text data from various fields of neuroscience. Applications to several text datasets are presented to demonstrate the capability of the proposed interactive tool to visualize complex relationships between pairs of lexical entities (with some semantic contents) such as terms, keywords, posters, or papers' abstracts. Implemented as a Java applet, this tool is based on the spherical embedding (SE) algorithm, which was designed for the visualization of bipartite graphs. Items such as words and documents are linked on the basis of occurrence relationships, which can be represented in a bipartite graph. These items are visualized by embedding the vertices of the bipartite graph on spheres in a three-dimensional (3-D) space. The main advantage of the proposed visualization tool is that 3-D layouts can convey more information than planar or linear displays of items or graphs. Different kinds of information extracted from texts, such as keywords, indexing terms, or topics are visualized, allowing interactive browsing of various fields of research featured by keywords, topics, or research teams. A typical use of the 3D-SE viewer is quick browsing of topics displayed on a sphere, then selecting one or several item(s) displays links to related terms on another sphere representing, e.g., documents or abstracts, and provides direct online access to the document source in a database, such as the Visiome Platform or the SfN Annual Meeting. Developed as a Java applet, it operates as a tool on top of existing resources. |
| first_indexed | 2024-12-22T01:16:04Z |
| format | Article |
| id | doaj.art-a5b19e1657ce440a8e3a75491b30716a |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-12-22T01:16:04Z |
| publishDate | 2007-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-a5b19e1657ce440a8e3a75491b30716a2022-12-21T18:43:52ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962007-11-01110.3389/neuro.11.007.2007129Visualization of documents and concepts in neuroinformatics with the 3D-SE viewerAntoine P Naud0Antoine P Naud1Shiro Usui2Naonori Ueda3Tatsuki Taniguchi4Department of Informatics, Nicolaus Copernicus UniversityLaboratory for Neuroinformatics, RIKEN Brain Science InstituteLaboratory for Neuroinformatics, RIKEN Brain Science InstituteNTT Communication Science LaboratoriesIVIS, Inc.A new interactive visualization tool is proposed for mining text data from various fields of neuroscience. Applications to several text datasets are presented to demonstrate the capability of the proposed interactive tool to visualize complex relationships between pairs of lexical entities (with some semantic contents) such as terms, keywords, posters, or papers' abstracts. Implemented as a Java applet, this tool is based on the spherical embedding (SE) algorithm, which was designed for the visualization of bipartite graphs. Items such as words and documents are linked on the basis of occurrence relationships, which can be represented in a bipartite graph. These items are visualized by embedding the vertices of the bipartite graph on spheres in a three-dimensional (3-D) space. The main advantage of the proposed visualization tool is that 3-D layouts can convey more information than planar or linear displays of items or graphs. Different kinds of information extracted from texts, such as keywords, indexing terms, or topics are visualized, allowing interactive browsing of various fields of research featured by keywords, topics, or research teams. A typical use of the 3D-SE viewer is quick browsing of topics displayed on a sphere, then selecting one or several item(s) displays links to related terms on another sphere representing, e.g., documents or abstracts, and provides direct online access to the document source in a database, such as the Visiome Platform or the SfN Annual Meeting. Developed as a Java applet, it operates as a tool on top of existing resources.http://journal.frontiersin.org/Journal/10.3389/neuro.11.007.2007/fullbipartite graphdata visualizationkeyword extractionneuroinformaticstext mining3D-SE viewer |
| spellingShingle | Antoine P Naud Antoine P Naud Shiro Usui Naonori Ueda Tatsuki Taniguchi Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer Frontiers in Neuroinformatics bipartite graph data visualization keyword extraction neuroinformatics text mining 3D-SE viewer |
| title | Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer |
| title_full | Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer |
| title_fullStr | Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer |
| title_full_unstemmed | Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer |
| title_short | Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer |
| title_sort | visualization of documents and concepts in neuroinformatics with the 3d se viewer |
| topic | bipartite graph data visualization keyword extraction neuroinformatics text mining 3D-SE viewer |
| url | http://journal.frontiersin.org/Journal/10.3389/neuro.11.007.2007/full |
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