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Knowledge extraction

2016
This article presented an anomaly detection method based on techniques of knowledge extraction from data, which can be fully applied to detect anomalous working conditions and prevent unexpected faults and shut downs of subsystems of energy production and fluid process plants such as in the LNG transport and production industry.
Brighenti, Chiara   +3 more
openaire   +1 more source

Knowledge centred Earth Observation: Feature Extraction

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
Nowadays huge volumes of Earth Observation data are available and increasing every day. Users are faced with the problem of having to extract and interpret information in large volumes of data, with the additional problem of images being annotated only by simple descriptors.
de Miguel, Amaia   +3 more
openaire   +2 more sources

Knowledge Extraction from Atomically Resolved Images

ACS Nano, 2017
Tremendous strides in experimental capabilities of scanning transmission electron microscopy and scanning tunneling microscopy (STM) over the past 30 years made atomically resolved imaging routine. However, consistent integration and use of atomically resolved data with generative models is unavailable, so information on local thermodynamics and other ...
Lukas Vlcek   +4 more
openaire   +2 more sources

Structural Knowledge Extraction from Mobility Data

2016
Knowledge extraction has traditionally represented one of the most interesting challenges in AI; in recent years, however, the availability of large collections of data has increased the awareness that "measuring" does not seamlessly translate into "understanding", and that more data does not entail more knowledge.
COTTONE, Pietro   +4 more
openaire   +2 more sources

INTELLIGENT KNOWLEDGE EXTRACTION FROM THE WEB

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003
Many websites are in general poorly defined and its users are not able to find the information they need. That is the reason why many papers are addressed to propose techniques able to find the right information for a user. Most of these techniques focus on finding the required information in the whole Internet.
Cardeñosa, Jesús, Tovar, Edmundo
openaire   +2 more sources

Informal Lightweight Knowledge Extraction from Documents

2013
In this paper, we propose a method to automatically extract informal knowledge from a collection of documents. The method is mainly based on the definition of a kind of informal knowledge representation consisting of concepts (lexically indicated by words) and the links between them.
COLACE, Francesco   +2 more
openaire   +3 more sources

Extractive Knowledge Distillation

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
openaire   +1 more source

User-centric knowledge extraction and maintenance

2014
Eine Ontologie ist eine Wissenssammlung in maschinenlesbarer Form. Da eine große Bandbreite an Informationen nur in natürlichsprachlicher Form verfügbar ist, werden maschinenlesbare Ontologien häufig durch imperfekte automatische Verfahren erzeugt, die eine Übersetzung in eine maschinenlesbare Darstellung vornehmen.
openaire   +2 more sources

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