Search Results for author:
Found 26 papers, 7 papers with code
LaSER: Language-Specific Event Recommendation
This article introduces the novel task of language-specific event recommendation, which aims to recommend events relevant to the user query in the language-specific context.
Creating Knowledge Graphs for Geographic Data on the Web
Geographic data plays an essential role in various Web, Semantic Web and machine learning applications.
Tab2KG: Semantic Table Interpretation with Lightweight Semantic Profiles
We propose a one-shot learning approach that relies on these profiles to map a tabular dataset containing previously unseen instances to a domain ontology.
QuoteKG: A Multilingual Knowledge Graph of Quotes
The provision of a cross-lingual knowledge graph of quotes that establishes the authenticity of quotes and their contexts is of great importance to allow the exploration of the lives of important people as well as topics from the perspective of what was actually said.
Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks
We formulate the Placement of Charging Stations problem as a non-linear integer optimisation problem that seeks the optimal positions for charging stations and the optimal number of charging piles of different charging types.
Ovid: A Machine Learning Approach for Automated Vandalism Detection in OpenStreetMap
OpenStreetMap is a unique source of openly available worldwide map data, increasingly adopted in real-world applications.
Attention-Based Vandalism Detection in OpenStreetMap
This task is remarkably challenging due to the large scale of the dataset, the sheer number of contributors, various vandalism forms, and the lack of annotated data.
WorldKG: A World-Scale Geographic Knowledge Graph
We describe the WorldKG knowledge graph, including its ontology that builds the semantic dataset backbone, the extraction procedure of the ontology and geographic entities from OpenStreetMap, and the methods to enhance entity annotation.
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
OpenStreetMap (OSM) is currently the richest publicly available information source on geographic entities (e. g., buildings and roads) worldwide.
Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting
Our model efficiently fuses dynamic and static information to facilitate accurate forecasting.
An Adaptive Clustering Approach for Accident Prediction
ACAP applies adaptive clustering to the observed geospatial accident distribution and performs embeddings of temporal, accident-related, and regional features to increase prediction accuracy.
Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
Our experiments performed to align OSM datasets for several countries with two of the most prominent openly available knowledge graphs, namely, Wikidata and DBpedia, demonstrate that the proposed approach outperforms the state-of-the-art schema alignment baselines by up to 53 percentage points in terms of F1-score.
Mining Topological Dependencies of Recurrent Congestion in Road Networks
The discovery of spatio-temporal dependencies within urban road networks that cause Recurrent Congestion (RC) patterns is crucial for numerous real-world applications, including urban planning and scheduling of public transportation services.
EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graph
Research on notable accomplishments and important events in the life of people of public interest usually requires close reading of long encyclopedic or biographical sources, which is a tedious and time-consuming task.
Linking OpenStreetMap with Knowledge Graphs -- Link Discovery for Schema-Agnostic Volunteered Geographic Information
In this article, we propose OSM2KG - a novel link discovery approach to predict identity links between OSM nodes and geographic entities in a knowledge graph.
EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces
An increasing need to analyse event-centric cross-lingual information calls for innovative user interaction models that assist users in crossing the language barrier.
IQA: Interactive Query Construction in Semantic Question Answering Systems
Semantic Question Answering (SQA) systems automatically interpret user questions expressed in a natural language in terms of semantic queries.
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
Semantic Question Answering (QA) is a crucial technology to facilitate intuitive user access to semantic information stored in knowledge graphs.
HapPenIng: Happen, Predict, Infer -- Event Series Completion in a Knowledge Graph
We address two tasks: 1) prediction of sub-event relations, and 2) inference of real-world events that happened as a part of event series and are missing in the knowledge graph.
MultiWiki: Interlingual Text Passage Alignment in Wikipedia
In this article we address the problem of text passage alignment across interlingual article pairs in Wikipedia.
EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation
In this article we demonstrate an application of EventKG to biographical timeline generation, where we adopt a distant supervision method to identify relations most relevant for an entity biography.
EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph
The provision of multilingual event-centric temporal knowledge graphs such as EventKG enables structured access to representations of a large number of historical and contemporary events in a variety of language contexts.
EventKG: A Multilingual Event-Centric Temporal Knowledge Graph
One of the key requirements to facilitate semantic analytics of information regarding contemporary and historical events on the Web, in the news and in social media is the availability of reference knowledge repositories containing comprehensive representations of events and temporal relations.
Inferring Missing Categorical Information in Noisy and Sparse Web Markup
Nevertheless, given the scale and diversity of Web markup data, nodes that provide missing information can be obtained from the Web in large quantities, in particular for categorical properties.
Unsupervised Open Relation Extraction
We explore methods to extract relations between named entities from free text in an unsupervised setting.
Analysing Temporal Evolution of Interlingual Wikipedia Article Pairs
Wikipedia articles representing an entity or a topic in different language editions evolve independently within the scope of the language-specific user communities.
