Name
Title | ||
|---|---|---|
A novel methodology for retrieving infographics utilizing structure and message content |
Abstract | ||
|---|---|---|
Information graphics (infographics) in popular media are highly structured knowledge representations that are generally designed to convey an intended message. This paper presents a novel methodology for retrieving infographics from a digital library that takes into account a graphic's structural and message content. The retrieval methodology can be summarized thus: 1) hypothesize requisite structural and message content from a natural language query, 2) measure the relevance of each candidate infographic to the requisite structural and message content hypothesized from the user query, and 3) integrate these relevance measurements via a linear combination model in order to produce a ranked list of infographics in response to the user query. The methodology has been implemented and evaluated, and it significantly outperforms a baseline method that treats queries and graphics as bags of words. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.datak.2015.05.005 | Data & Knowledge Engineering |
Keywords | Field | DocType |
Semi-structured data and XML,Information retrieval,Digital libraries,Query,Graphic retrieval,Natural language query processing,Short document expansion,Linear combination ranking model | Graphics,Data mining,Linear combination,Query language,Information retrieval,Query expansion,Ranking,Infographic,Computer science,Natural language user interface,Digital library,Database | Journal |
Volume | Issue | ISSN |
100 | PB | 0169-023X |
Citations | PageRank | References |
3 | 0.37 | 56 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhuo Li | 1 | 9 | 0.79 |
| Sandra Carberry | 2 | 1005 | 122.43 |
| Hui Fang | 3 | 918 | 63.03 |
| Kathleen F. McCoy | 4 | 671 | 93.90 |
| Kelly Peterson | 5 | 8 | 1.79 |
| Matthew Stagitis | 6 | 14 | 1.22 |