24 citations · 72 across the 12 of their papers we have counts for
14 papers
Semantic Bayesian World Models
Tommaso Soru
Knowledge graphs describe reality in crisp assertions, while the systems now consuming them, foundation models and autonomous agents, reason natively in probabilities. We argue tha…
Towards Researcher Agents for Knowledge-Graph Question Answering
Tommaso Soru, Abdulsobur Oyewale
Translating a natural-language question into a SPARQL query that can be executed against a large knowledge graph requires resolving lexical ambiguity, grounding surface terms in th…
LLM-Driven Ontology Construction for Enterprise Knowledge Graphs
Abdulsobur Oyewale, Tommaso Soru
Enterprise Knowledge Graphs have become essential for unifying heterogeneous data and enforcing semantic governance. However, the construction of their underlying ontologies remain…
Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition
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 sta…
Where is Linked Data in Question Answering over Linked Data?
Tommaso Soru, Edgard Marx, André Valdestilhas +3
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…
ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies
Gustavo Correa Publio, Diego Esteves, Agnieszka Ławrynowicz +5
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 an…
Neural Machine Translation for Query Construction and Composition
Tommaso Soru, Edgard Marx, André Valdestilhas +3
Research on question answering with knowledge base has recently seen an increasing use of deep architectures. In this extended abstract, we study the application of the neural mach…
Expeditious Generation of Knowledge Graph Embeddings
Tommaso Soru, Stefano Ruberto, Diego Moussallem +4
Knowledge Graph Embedding methods aim at representing entities and relations in a knowledge base as points or vectors in a continuous vector space. Several approaches using embeddi…
Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts
Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru +1
Although there is an emerging trend towards generating embeddings for primarily unstructured data and, recently, for structured data, no systematic suite for measuring the quality…
Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs
Tommaso Soru, André Valdestilhas, Edgard Marx +1
Graph representations of large knowledge bases may comprise billions of edges. Usually built upon human-generated ontologies, several knowledge bases do not feature declared ontolo…
Triple Scoring Using a Hybrid Fact Validation Approach - The Catsear Triple Scorer at WSDM Cup 2017
Edgard Marx, Tommaso Soru, André Valdestilhas
With the continuous increase of data daily published in knowledge bases across the Web, one of the main issues is regarding information relevance. In most knowledge bases, a triple…
Mandolin: A Knowledge Discovery Framework for the Web of Data
Tommaso Soru, Diego Esteves, Edgard Marx +1
Markov Logic Networks join probabilistic modeling with first-order logic and have been shown to integrate well with the Semantic Web foundations. While several approaches have been…
SPARQL as a Foreign Language
Tommaso Soru, Edgard Marx, Diego Moussallem +4
In the last years, the Linked Data Cloud has achieved a size of more than 100 billion facts pertaining to a multitude of domains. However, accessing this information has been signi…
ROCKER: A Refinement Operator for Key Discovery
Tommaso Soru, Edgard Marx, Axel-Cyrille Ngonga Ngomo
The Linked Data principles provide a decentral approach for publishing structured data in the RDF format on the Web. In contrast to structured data published in relational database…