[PDF][PDF] BAFREC: Balancing frequency and rarity for entity characterization in linked open data

H Kroll, D Nagel, WT Balke - Proc. 1st Int. Workshop Entity REtrieval, 2018 - ws.nju.edu.cn
Today's growth of linked open data (LOD) sources calls for summarization systems to help
users to navigate through large volumes of data. A major task is entity summarization, where …

R-Extractor: A method for data extraction from template-based entity-pages

E Manica, CF Dorneles… - 2017 IEEE 41st Annual …, 2017 - ieeexplore.ieee.org
The challenges in Big Data start during the data acquisition, where it is necessary to
transform non-structured data into a structured format. The Big Data Era brought a new …

[PDF][PDF] BAFREC: Balancing frequency and rarity for entity characterization in open linked data

H Kroll, D Nagel, WT Balke - Proc. 1st Int. Workshop Entity Retr.(EYRE), 2018 - hkroll.de
Today's growth of linked open data (LOD) sources calls for summarization systems to help
users to navigate through large volumes of data. A major task is entity summarization, where …

Using queries as schema-templates for graph databases

S Mennicke, JC Kalo, WT Balke - Datenbank-Spektrum, 2018 - Springer
In contrast to heavy-handed ER-style data models in relational databases, knowledge
graphs (or graph databases) capture entity semantics in terms of entity relationships and …

Any suggestions? active schema support for structuring web information

S Homoceanu, F Geilert, C Pek, WT Balke - Database Systems for …, 2014 - Springer
Backed up by major Web players schema. org is the latest broad initiative for structuring
Web information. Unfortunately, a representative analysis on a corpus of 733 million Web …

Neural network based geometric primitive for airfoil design

P Di Stefano, L Di Angelo - 2003 Shape Modeling International., 2003 - ieeexplore.ieee.org
A geometric primitive for CAD implementation is presented (Bezier neural network, BNN). It
is specifically designed to reproduce geometric shapes with functional requirements such as …