[PDF][PDF] Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks.
Location-based Social Networks (LBSN) allow users to check-in in a Point-of-Interest (POI) 1
and share their activities with friends, providing publicly available data about their behavior …
and share their activities with friends, providing publicly available data about their behavior …
[PDF][PDF] A Two-Fold Quality Assurance Approach for Dynamic Knowledge Bases: The 3cixty Use Case.
N Mihindukulasooriya, G Rizzo… - (KNOW@ LOD …, 2016 - giusepperizzo.github.io
The 3cixty platform relies on a continuous integration workflow for the generation and
maintenance of evolving knowledge bases in the domain of culture and tourism. This …
maintenance of evolving knowledge bases in the domain of culture and tourism. This …
Farsbase: The persian knowledge graph
M Asgari-Bidhendi, A Hadian… - Semantic Web, 2019 - content.iospress.com
Over the last decade, extensive research has been done on automatic construction of
knowledge graphs from Web resources, resulting in a number of large-scale knowledge …
knowledge graphs from Web resources, resulting in a number of large-scale knowledge …
A quality assessment approach for evolving knowledge bases
Abstract Knowledge bases are nowadays essential components for any task that requires
automation with some degrees of intelligence. Assessing the quality of a knowledge base is …
automation with some degrees of intelligence. Assessing the quality of a knowledge base is …
DBtravel: a tourism-oriented semantic graph
We present DBtravel, a tourism-oriented knowledge graph generated from the collaborative
travel site Wikitravel. Our approach takes advantage of the recommended guideline for …
travel site Wikitravel. Our approach takes advantage of the recommended guideline for …
STEM: Stacked threshold-based entity matching for knowledge base generation
One of the major issues encountered in the generation of knowledge bases is the integration
of data coming from a collection of heterogeneous data sources. A key essential task when …
of data coming from a collection of heterogeneous data sources. A key essential task when …
[PDF][PDF] Adel: Adaptable entity linking
Four main challenges can cause numerous difficulties when developing an entity linking
system: i) the kind of textual documents to annotate (such as social media posts, video …
system: i) the kind of textual documents to annotate (such as social media posts, video …
A framework for linked data quality based on data profiling and rdf shape induction
N Mihindukulasooriya - 2020 - oa.upm.es
In the era of digital transformation, where most decision-making and artificial intelligence (AI)
applications are becoming data-driven, data is becoming an essential asset. Linked Data …
applications are becoming data-driven, data is becoming an essential asset. Linked Data …
[PDF][PDF] Knowledge base quality assessment using temporal analysis
Knowledge bases are nowadays essential components for any task that requires automation
with some degrees of intelligence. The quality of such knowledge bases can drastically …
with some degrees of intelligence. The quality of such knowledge bases can drastically …
ADEL: ADaptable Entity Linking: a hybrid approach to link entities with linked data for information extraction
Four main challenges can cause numerous difficulties when developing an entity linking
system: i) the kind of textual documents to annotate (such as social media posts, video …
system: i) the kind of textual documents to annotate (such as social media posts, video …