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Found 19 papers, 10 papers with code
Semantic Web: Past, Present, and Future
Ever since the vision was formulated, the Semantic Web has inspired many generations of innovations.
Articulation Work and Tinkering for Fairness in Machine Learning
We find that CS researchers engage with SOI research to some extent, but organizational conditions, articulation work, and ambiguities of the social world constrain the doability of SOI research for them.
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
This facilitates the use of intelligent methods in order to discover useful patterns across different resources.
Leveraging Ontologies to Document Bias in Data
To fill this gap, we present the Doc-BiasO ontology, a resource that aims to create an integrated vocabulary of biases defined in the \textit{fair-ML} literature and their measures, as well as to incorporate relevant terminology and the relationships between them.
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts
We tested our approach on a dataset of 2, 000 tweets about eating disorders, finding that merging word embeddings with knowledge graph information enhances the predictive models' reliability.
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
Background: Eating disorders are increasingly prevalent, and social networks offer valuable information.
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination
How can AI be made accountable for its decision-making?
Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources
Given a set of mapping assertions, the planner provides an optimized execution plan by partitioning and scheduling the execution of the assertions.
EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
Mapping languages, e. g., RML and R2RML, facilitate declarative specification of the process of applying meta-data and integrating data into a knowledge graph.
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints
Trav-SHACL reorders the shapes in a shape schema for efficient validation and rewrites target and constraint queries for the fast detection of invalid entities.
Knowledge Graphs
Databases
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation
We propose FunMap, an interpreter of function-based mapping languages; it relies on a set of lossless rewriting rules to push down and materialize the execution of functions in initial steps of knowledge graph creation.
Databases
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
In recent years, the amount of data has increased exponentially, and knowledge graphs have gained attention as data structures to integrate data and knowledge harvested from myriad data sources.
Databases
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
We use knowledge graph embeddings to automatically create these communities exploiting the meaning of the existing relationships.
Optimizing Federated Queries Based on the Physical Design of a Data Lake
However, state-of-the-art query engines for federated query processing over Semantic Data Lakes often rely on optimization techniques tailored for RDF.
Databases
Enhancing Virtual Ontology Based Access over Tabular Data with Morph-CSV
In the specific case of tabular datasets represented as several CSV or Excel files, query translation approaches have been applied by considering each source as a single table that can be loaded into a relational database management system (RDBMS).
Databases
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from the text, and possibly linking them to proper matches in Knowledge Graphs (KGs).
Towards Optimisation of Collaborative Question Answering over Knowledge Graphs
Collaborative Question Answering (CQA) frameworks for knowledge graphs aim at integrating existing question answering (QA) components for implementing sequences of QA tasks (i. e. QA pipelines).
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph
Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising importance of question answering for user interaction.
Use of Knowledge Graph in Rescoring the N-Best List in Automatic Speech Recognition
In this paper, we have tried to see the semantic relatedness between the words in a sentence to rescore the N-best list.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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