Amanote Research

Amanote Research

    RegisterSign In

A Modular Approach for Exploring the Semantic Structure of Technical Document Collections

doi 10.1145/345513.345361
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2000

Authors
Andreas BecksStefan SklorzMatthias Jarke
Publisher

ACM Press


Related search

An Integrated Approach for Automatic Semantic Structure Extraction in Document Images

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

TopicExplorer: Exploring Document Collections With Topic Models

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

A Clustering Approach for Exploring the Internet Structure

English

The GENIE Project - A Semantic Pipeline for Automatic Document Categorisation

2014English

TM-SGTD: Text Mining Based Semantic Graph for Text Document Approach for Text Representation

International Journal of Engineering and Technology
Transfer ProcessesFluid FlowMechanical EngineeringAerospace Engineering
2017English

Text Classification Using Document-Document Semantic Similarity

International Journal of Web Science
2013English

A Social Approach for Document Analysis

2009English

Restrictive Clustering and Metaclustering for Self-Organizing Document Collections

2004English

On the Reproducibility of Experiments of Indexing Repetitive Document Collections

Information Systems
HardwareInformation SystemsArchitectureSoftware
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy