This dataset is the result of data mining one year worth of articles abstracts (2017) using DBPedia spotlight.The result is a series of links between SciGraph publications and DBpedia concepts. Named Entity Recognition work carried out by Beyza Yaman. See also: https://github.com/dbpedia/sci-graph-linksA demo application for navigating these links is available at http://hacks2019.michelepasin.org/dbpedialinks/See also:* https://scigraph.springernature.com/explorer</p
Abstract The modeling of lexico-semantic resources by means of ontologies is an established practice...
DBpedia1M is a dataset for entity alignment in large-scale knowledge graphs, proposed by the CIKM-20...
Introduction: Linking Entities (LE) is an important research topic that has recently attracted great...
In recent years we have seen a proliferation of Linked Open Data (LOD) compliant datasets becoming a...
DBpedia is a community effort to extract structured information from Wikipedia. It has both inter-es...
Abstract. The Web of data promotes the idea that more and more data are interconnected. A step towar...
Recently, Entity Linking and Retrieval turned out to be one of the most interesting tasks in Informa...
The public availability of datasets of teaching resources is an issue for the design, development an...
Abstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic ...
Knowledge-rich Information Extraction (IE) methods aspire towards combining classical IE with backgr...
Abstract Named entity recognition (NER) is an important method for Natural Language Processing. In ...
The thesis addresses two main research problems. The first topic is centered around exploring DBpedi...
Named entity recognition and disambiguation are of primary importance for extracting information and...
The Linked Hypernyms Dataset (LHD) provides entities described by Dutch, English and German Wikipedi...
The entity relatedness problem refers to the question of exploring a knowledge base, represented as ...
Abstract The modeling of lexico-semantic resources by means of ontologies is an established practice...
DBpedia1M is a dataset for entity alignment in large-scale knowledge graphs, proposed by the CIKM-20...
Introduction: Linking Entities (LE) is an important research topic that has recently attracted great...
In recent years we have seen a proliferation of Linked Open Data (LOD) compliant datasets becoming a...
DBpedia is a community effort to extract structured information from Wikipedia. It has both inter-es...
Abstract. The Web of data promotes the idea that more and more data are interconnected. A step towar...
Recently, Entity Linking and Retrieval turned out to be one of the most interesting tasks in Informa...
The public availability of datasets of teaching resources is an issue for the design, development an...
Abstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic ...
Knowledge-rich Information Extraction (IE) methods aspire towards combining classical IE with backgr...
Abstract Named entity recognition (NER) is an important method for Natural Language Processing. In ...
The thesis addresses two main research problems. The first topic is centered around exploring DBpedi...
Named entity recognition and disambiguation are of primary importance for extracting information and...
The Linked Hypernyms Dataset (LHD) provides entities described by Dutch, English and German Wikipedi...
The entity relatedness problem refers to the question of exploring a knowledge base, represented as ...
Abstract The modeling of lexico-semantic resources by means of ontologies is an established practice...
DBpedia1M is a dataset for entity alignment in large-scale knowledge graphs, proposed by the CIKM-20...
Introduction: Linking Entities (LE) is an important research topic that has recently attracted great...