Semantic Visualization and Navigation in Textual Corpus
نویسندگان
چکیده
This paper gives a survey of related work on the information visualization domain and study the real integration of the cartography paradigms in actual information search systems. Based on this study, we propose a semantic visualization and navigation approach which offer to users three search modes: precise search, connotative search and thematic search. The objective is to propose to the users of an information search system, new interaction paradigms which support the semantic aspect of the considered information space and guide users in their searches by assisting them to locate their interest center and to improve serendipity.
منابع مشابه
PATExpert: Semantic Processing of Patent Documentation
PATExpert is a recently started “Specific Targeted Research Project” funded by the EC in FP 6, IST priority. PATExpert’s goal is to change the paradigm currently followed for patent processing from textual to semantic. We are about to develop a semantic multimedia content representation based on Semantic Web technologies for selected technology areas and to investigate some central topics from ...
متن کاملAnalytical Semantics Visualization for Discovering Latent Signals in Large Text Collections
Considering the increasing pressure of competition and high dynamics of markets, the early identification and specific handling of novel developments and trends becomes more and more important for competitive companies. Today, those signals are encoded in large amounts of textual data like competitors’ web sites, news articles, scientific publications or blog entries which are freely available ...
متن کاملA Context Vector-Based Self Organizing Map for Information Visualization
HNC Software, Inc. has developed a system called DOCUVERSE for visualizing the information content of large textual corpora. The system is built around two separate neural network methodologies: context vectors and self organizing maps. Context vectors (CVs) are high dimensional information representations that encode the semantic content of the textual entities they represent. Self organizing ...
متن کاملVisualization and clustering by 3D cellular automata: Application to unstructured data
Given the limited performance of 2D cellular automata in terms of space when the number of documents increases and in terms of visualization clusters, our motivation was to experiment these cellular automata by increasing the size to view the impact of size on quality of results. The representation of textual data was carried out by a vector model whose components are derived from the overall b...
متن کاملFramework for Conceptual Modeling on Natural Language Texts
The paper presents the framework for conceptual modeling which has been used in on-going project of developing fact extraction technology on textual data. The modeling technique combines the usage of conceptual graphs and Formal Concept Analysis. Conceptual graphs serve as semantic models of text sentences and the data source for formal context of concept lattice. Several ways of creating forma...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1202.1841 شماره
صفحات -
تاریخ انتشار 2012