ADAPTATION OF MATHEMATICAL DOCUMENTS Exploring Document Structures, Metadata, and Context for the Generation of User-specific Documents

被引:0
|
作者
Muller, Christine [1 ,2 ]
机构
[1] Jacobs Univ Bremen, Dept Comp Sci, Bremen, Germany
[2] BSgrp Technol Innovat AG, Zurich, Switzerland
关键词
User-specific adaptation; Mathematics; Contexts; Narrative documents; Content planning;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The paper proposes a framework that explores document structures, metadata, and context to adapt mathematical documents on three layers - the content, structure, and presentation layer. On the presentation layer mathematical expressions are rendered according to a user context (defining, e.g., the users' preferred convention, language or discipline). On the content layer, appropriate paragraphs of texts are selected that best suit the users' individual information need as well as narrative and semantic context. On the structure layer, these content parts are arranged appropriately, while taking semantic and narrative interdependencies between parts into account. Technically, the framework models documents as dependency graphs, where nodes correspond to any addressable part of a document and edges denote narrative and semantic dependencies. To allow for the adaptation on all three document layers, these dependency graphs are enriched with presentational, content, and structure variants. Finally, the enriched graphs are processed to generate a user-specific document. Users can guide this adaptation process by prioritising their individual constraints, narrative or semantic context.
引用
收藏
页码:143 / 148
页数:6
相关论文
共 3 条
  • [1] Assessing user-specific difficulty of documents
    Paukkeri, Mari-Sanna
    Ollikainen, Marja
    Honkela, Timo
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2013, 49 (01) : 198 - 212
  • [2] Automatic Generation of User's Profiles for Location-Based Adaptation of Multimedia Documents
    Bouyakoub, Faycal M'hamed
    Belkhir, Abdelkader
    [J]. 2008 IEEE INTERNATIONAL PERFORMANCE, COMPUTING AND COMMUNICATIONS CONFERENCE (IPCCC 2008), 2008, : 400 - 405
  • [3] Meta360: Exploring User-Specific and Robust Viewport Prediction in 360-Degree Videos through Bi-Directional LSTM and Meta-Adaptation
    Li, Junjie
    Wang, Yumei
    Liu, Yu
    [J]. 2023 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, ISMAR, 2023, : 652 - 661