2 code implementations • 21 Oct 2020 • Anand Panchbhai, Tommaso Soru, Edgard Marx
A booming amount of information is continuously added to the Internet as structured and unstructured data, feeding knowledge bases such as DBpedia and Wikidata with billions of statements describing millions of entities.
no code implementations • 7 May 2020 • Tommaso Soru, Edgard Marx, André Valdestilhas, Diego Moussallem, Gustavo Publio, Muhammad Saleem
We argue that "Question Answering with Knowledge Base" and "Question Answering over Linked Data" are currently two instances of the same problem, despite one explicitly declares to deal with Linked Data.
1 code implementation • ACM 10th International Conference on Knowledge Capture 2019 • Andre Valdestilhas, Tommaso Soru, Muhammad Saleem
Presently, WimuQ is able to execute both federated and non-federated SPARQL queries over a total of 668, 166 datasets from LOD Stats and LOD Laudromat as well as 559 active SPARQL endpoints.
no code implementations • 14 Jul 2018 • Gustavo Correa Publio, Diego Esteves, Agnieszka Ławrynowicz, Panče Panov, Larisa Soldatova, Tommaso Soru, Joaquin Vanschoren, Hamid Zafar
The ML-Schema, proposed by the W3C Machine Learning Schema Community Group, is a top-level ontology that provides a set of classes, properties, and restrictions for representing and interchanging information on machine learning algorithms, datasets, and experiments.
1 code implementation • 27 Jun 2018 • Tommaso Soru, Edgard Marx, André Valdestilhas, Diego Esteves, Diego Moussallem, Gustavo Publio
Research on question answering with knowledge base has recently seen an increasing use of deep architectures.
1 code implementation • European Semantic Web Conference 2018 • Andre Valdestilhas, Tommaso Soru, Markus Nentwig, Edgard Marx, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo
One of the Semantic Web foundations is the possibility to dereference URIs to let applications negotiate their semantic content.
1 code implementation • 21 Mar 2018 • Tommaso Soru, Stefano Ruberto, Diego Moussallem, André Valdestilhas, Alexander Bigerl, Edgard Marx, Diego Esteves
Knowledge Graph Embedding methods aim at representing entities and relations in a knowledge base as points or vectors in a continuous vector space.
Ranked #1 on Link Prediction on AKSW-bib
1 code implementation • 12 Mar 2018 • Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit Sheth
This deficiency is further sensed with respect to embeddings generated for structured data because there are no concrete evaluation metrics measuring the quality of the encoded structure as well as semantic patterns in the embedding space.
1 code implementation • 10 Feb 2018 • Tommaso Soru, André Valdestilhas, Edgard Marx, Axel-Cyrille Ngonga Ngomo
Graph representations of large knowledge bases may comprise billions of edges.
1 code implementation • 3 Nov 2017 • Tommaso Soru, Diego Esteves, Edgard Marx, Axel-Cyrille Ngonga Ngomo
Markov Logic Networks join probabilistic modeling with first-order logic and have been shown to integrate well with the Semantic Web foundations.
1 code implementation • 25 Aug 2017 • Tommaso Soru, Edgard Marx, Diego Moussallem, Gustavo Publio, André Valdestilhas, Diego Esteves, Ciro Baron Neto
In the last years, the Linked Data Cloud has achieved a size of more than 100 billion facts pertaining to a multitude of domains.
Graph Question Answering Knowledge Base Question Answering +1