Knowledge graphs
In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …
recently garnered significant attention from both industry and academia in scenarios that …
Information extraction meets the semantic web: a survey
JL Martinez-Rodriguez, A Hogan… - Semantic …, 2020 - content.iospress.com
We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …
Information extraction
S Sarawagi - Foundations and Trends® in Databases, 2008 - nowpublishers.com
The automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …
Table understanding approaches for extracting knowledge from heterogeneous tables
Table understanding methods extract, transform, and interpret the information contained in
tabular data embedded in documents/files of different formats. Such automatic …
tabular data embedded in documents/files of different formats. Such automatic …
Decnt: Deep deformable cnn for table detection
This paper presents a novel approach for the detection of tables present in documents,
leveraging the potential of deep neural networks. Conventional approaches for table …
leveraging the potential of deep neural networks. Conventional approaches for table …
Big Data analytics for forecasting tourism destination arrivals with the applied Vector Autoregression model
YY Liu, FM Tseng, YH Tseng - Technological Forecasting and Social …, 2018 - Elsevier
The prediction of tourist numbers is important for Destination Management and Marketing.
While most existing methods rely on well-structured statistical data, using web search …
While most existing methods rely on well-structured statistical data, using web search …
Improving the performance of focused web crawlers
This work addresses issues related to the design and implementation of focused crawlers.
Several variants of state-of-the-art crawlers relying on web page content and link information …
Several variants of state-of-the-art crawlers relying on web page content and link information …
[HTML][HTML] HybridTabNet: Towards better table detection in scanned document images
Tables in document images are an important entity since they contain crucial information.
Therefore, accurate table detection can significantly improve the information extraction from …
Therefore, accurate table detection can significantly improve the information extraction from …
Trex: An approach for recognizing and extracting tables from pdf documents
This paper presents PDF-TREX, an heuristic approach for table recognition and extraction
from PDF documents. The heuristics starts from an initial set of basic content elements and …
from PDF documents. The heuristics starts from an initial set of basic content elements and …
[HTML][HTML] Castabdetectors: Cascade network for table detection in document images with recursive feature pyramid and switchable atrous convolution
Table detection is a preliminary step in extracting reliable information from tables in scanned
document images. We present CasTabDetectoRS, a novel end-to-end trainable table …
document images. We present CasTabDetectoRS, a novel end-to-end trainable table …