Spatio-Temporal Parsing in Spatial Hypermedia

  • Spatial Hypertext represents associations between chunks of information by spatial or visual attributes (such as proximity, color, shape etc.). This allows expressing information structures implicitly and in an intuitive way. However, automatic recognition of such informal, implicitly encoded structures by a machine (a so-called spatial parser) is still a challenge. One reason is, that conventional (non-adaptive) parsers are conceptually restricted by their underlying source of information (i. e., the spatial hypertext). Due to this limitation there are several types of structures that cannot be recognized properly. This inevitably limits both quality of parser output and parser performance. We claim that considering temporal aspects in addition to spatial and visual properties in spatial parser design will lead to significant increase in parsing accuracy, detection of richer structures and thus higher parser performance. For the purpose of providing evidence, parsers for recognizing spatial, visual and temporal object relationsSpatial Hypertext represents associations between chunks of information by spatial or visual attributes (such as proximity, color, shape etc.). This allows expressing information structures implicitly and in an intuitive way. However, automatic recognition of such informal, implicitly encoded structures by a machine (a so-called spatial parser) is still a challenge. One reason is, that conventional (non-adaptive) parsers are conceptually restricted by their underlying source of information (i. e., the spatial hypertext). Due to this limitation there are several types of structures that cannot be recognized properly. This inevitably limits both quality of parser output and parser performance. We claim that considering temporal aspects in addition to spatial and visual properties in spatial parser design will lead to significant increase in parsing accuracy, detection of richer structures and thus higher parser performance. For the purpose of providing evidence, parsers for recognizing spatial, visual and temporal object relations have been implemented and tested in a series of user surveys. It turned out, that in none of the test cases pure spatial or visual parser could outperform the spatio-temporal parser. Instead, the spatiotemporal parser was able to compensate limitations of conventional parsers. Furthermore, differences in parsing accuracy were successfully tested for statistical significance. The results indicate a non-trivial effect that is recognizable by humans. We have shown that the addition of a temporal parser shifts machine detected structures significantly closer to what knowledge workers intend to express.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Thomas Schedel
URN:urn:nbn:de:bvb:1051-opus4-715
Verlag:Eigenverlag
Verlagsort:Kronach
Herausgeber:Thomas Schedel
Dokumentart:Buch (Monographie)
Sprache:Englisch
Datum der Veröffentlichung (online):06.09.2016
Datum der Erstveröffentlichung:08.09.2016
Veröffentlichende Institution:Hochschule für Angewandte Wissenschaften Hof
Datum der Freischaltung:08.09.2016
Freies Schlagwort / Tag:hypertext; spatial hypertext; spatial parsing; spatio-temporal parsing; time
Seitenzahl:225
Institute/Fakultäten:Institut für Informationssysteme (iisys)
Lizenz (Deutsch):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung