Search Results for author:
Found 18 papers, 6 papers with code
OEKG: The Open Event Knowledge Graph
Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and consequences across country borders.
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.
Linking Streets in OpenStreetMap to Persons in Wikidata
In addition, we apply StreetToPerson on all OSM streets in Germany, for which we identify more than 180, 000 links between streets and persons.
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.
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.
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.
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.
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.
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.
