Interactive multidimensional document visualization
Interactive multidimensional document visualization
复制标题
交互式多维文档可视化
DOI：
10.1145/290941.291054
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
T. Dkaki
中科院分区：
文献类型：
--
作者：
J. Mothe;T. Dkaki
利用互补方法提高信息检索效率。一种方法是关注所使用的系统内部进程（例如文档索引、查询文档相似度计算）。另一种方法可以是改进用户-系统交互[7]。正、负相关反馈机制是应用最广泛的一种机制，已有大量研究证明了其有效性。还使用分类：根据文档的相似性将它们分组在一起，并在咨询或查询集合时使用这些类。在提出交互式流程时，需要强大的接口。INQUERY [l]提出检索文档的图形视图，其中相似的文档在图形上接近；检索到的文档根据它们所属的类列出给用户。VIBE [G]表示二维空间（文档vs术语）中的信息，因此可以通过图形化的方式查看根据某些选定的术语哪些是可能相关的文档。一些补充研究表明，使用文档结构或从文档中提取的事实信息是有效的。ENVISION[5]将检索到的文档表示为二维表。行和列表示事实信息，如作者、日期或估计的相关性，单元格中填充文档引用，可以在这些表中进行导航。在这张海报中，我们提出了一个交互式文档可视化工具。它考虑到这样一个事实，即文档相关性取决于所考虑的文档特征（信息内容、出版日期、作者隶属关系等）。这些元素交叉是为了发现它们之间存在的紧密联系。然后将发现的关系显示在一个4维图形视图中。该界面允许用户以图形方式选择他最感兴趣的元素，并自动构建新的过滤器，以交互方式更改显示的文档集。
Complementary approaches are used to improve information retrieval efficiency. One approach consists in focusing on the system inner processes used (e.g. document indexing, query-document similarity computing). Another approach can be to improve the user-system interaction [7]. Positive and negative relevance feedback type mechanism is among the most used and lots of studies have shown its efficiency. Classification is also used: grouping together documents according to their similarity and using those classes when consulting or querying the collection. When proposing an interactive process, powerful interfaces are needed. INQUERY [l] proposes a graphical view of the retrieved documents where similar documents are graphically close; the retrieved documents are listed to the user according to the class they belong to. VIBE [G] represents the information in a two dimensional space (document vs term) so that it is possible to graphically see which are the possible relevant documents according to some selected terms. Some complementary studies have shown that it is efficient to use the document structure or the factual information extracted from a document. ENVISION [5] represents the retrieved documents into two-dimensional tables. Rows and columns represent either factual information such as authors, date, or estimated relevance and cells are filled with document references, navigation through those tables is possible. In this poster we propose an interactive document visualization tool. It takes into account the fact that document relevance depends on the document features which are considered (information content, publication date, author affiliation, . ..). Those elements are crossed in order to discover the strong links that exist between them. Discovered relationships are then displayed on a 4-dimensional graphical view. This interface allows the user to graphically select the elements he is most interested in and to automatically construct new filters that will change interactively the set of the displayed documents.