Visualization of association graphs for assisting the interpretation of classifications
Given a query on the PASCAL database maintained by the INIST, we design user interfaces to visualize and browse two types of graphs extracted from abstracts: 1) the graph of all associations between authors (co-author graph), 2) the graph of strong associations between authors and terms automaticall...
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| creator | Juan, Eric San Roche, Ivana |
| description | Given a query on the PASCAL database maintained by the INIST, we design user
interfaces to visualize and browse two types of graphs extracted from
abstracts: 1) the graph of all associations between authors (co-author graph),
2) the graph of strong associations between authors and terms automatically
extracted from abstracts and grouped using linguistic variations. We adapt for
this purpose the TermWatch system that comprises a term extractor, a relation
identifier which yields the terminological network and a clustering module. The
results are output on two interfaces: a graphic one mapping the clusters in a
2D space and a terminological hypertext network allowing the user to
interactively explore results and return to source texts. |
| doi_str_mv | 10.48550/arxiv.0811.0717 |
| format | Article |
| fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_0811_0717</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>0811_0717</sourcerecordid><originalsourceid>FETCH-LOGICAL-a657-892fd66add81a54e3404ddcb07e59089fed6535def6956aa52fe2ef078566d823</originalsourceid><addsrcrecordid>eNo9j09LxDAUxHPxIKt3T5Iv0Jq0fUl6XBb_wYKXRY_l2bzsPui2JYmifnrprngaZpgZ-Alxo1XZOAB1h_GLP0vltC6V1fZSvL1y-sCBfzDzNMopSExp6vls9xHnQ5JhikvMKfO4l_lAksdMcY6U_2f9sDQC96ckXYmLgEOi6z9did3D_W7zVGxfHp83622BBmzh2ip4Y9B7pxEaqhvVeN-_K0vQKtcG8gZq8BRMCwYRqkAVBWUdGONdVa_E7fn2BNbNkY8Yv7sFsFsA619y_E22</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Visualization of association graphs for assisting the interpretation of classifications</title><source>arXiv.org</source><creator>Juan, Eric San ; Roche, Ivana</creator><creatorcontrib>Juan, Eric San ; Roche, Ivana</creatorcontrib><description>Given a query on the PASCAL database maintained by the INIST, we design user
interfaces to visualize and browse two types of graphs extracted from
abstracts: 1) the graph of all associations between authors (co-author graph),
2) the graph of strong associations between authors and terms automatically
extracted from abstracts and grouped using linguistic variations. We adapt for
this purpose the TermWatch system that comprises a term extractor, a relation
identifier which yields the terminological network and a clustering module. The
results are output on two interfaces: a graphic one mapping the clusters in a
2D space and a terminological hypertext network allowing the user to
interactively explore results and return to source texts.</description><identifier>DOI: 10.48550/arxiv.0811.0717</identifier><language>eng</language><subject>Computer Science - Digital Libraries ; Computer Science - Information Retrieval ; Statistics - Applications</subject><creationdate>2008-11</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/0811.0717$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.0811.0717$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Juan, Eric San</creatorcontrib><creatorcontrib>Roche, Ivana</creatorcontrib><title>Visualization of association graphs for assisting the interpretation of classifications</title><description>Given a query on the PASCAL database maintained by the INIST, we design user
interfaces to visualize and browse two types of graphs extracted from
abstracts: 1) the graph of all associations between authors (co-author graph),
2) the graph of strong associations between authors and terms automatically
extracted from abstracts and grouped using linguistic variations. We adapt for
this purpose the TermWatch system that comprises a term extractor, a relation
identifier which yields the terminological network and a clustering module. The
results are output on two interfaces: a graphic one mapping the clusters in a
2D space and a terminological hypertext network allowing the user to
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interfaces to visualize and browse two types of graphs extracted from
abstracts: 1) the graph of all associations between authors (co-author graph),
2) the graph of strong associations between authors and terms automatically
extracted from abstracts and grouped using linguistic variations. We adapt for
this purpose the TermWatch system that comprises a term extractor, a relation
identifier which yields the terminological network and a clustering module. The
results are output on two interfaces: a graphic one mapping the clusters in a
2D space and a terminological hypertext network allowing the user to
interactively explore results and return to source texts.</abstract><doi>10.48550/arxiv.0811.0717</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Digital Libraries Computer Science - Information Retrieval Statistics - Applications |
| title | Visualization of association graphs for assisting the interpretation of classifications |
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