LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650 K datasets over a single self-indexed file. This corpus can be queried online with a sustainable Linked Data Fragments interface, or downloaded and consumed locally: LOD-a-lot is easy to deploy and demands affordable resources (524 GB of disk space and 15.7 GB of RAM), enabling Web-scale repeatable experimentation and research even by standard laptops
The Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community over...
The Linked Open Data (LOD) cloud has been around since 2007. Throughout the years, this prominent de...
The LOD cloud has a potential for applicability in many AI-related tasks, such as open domain questi...
LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion un...
Many data scientists make use of Linked Open Data (LOD) as a huge interconnected knowledge base repr...
Ad-hoc querying is crucial to access information from Linked Data, yet publishing queryable RDF data...
Ad-hoc querying is crucial to access information from Linked Data, yet publishing queryable RDF data...
The Linked Open Data (LOD) cloud has been around since 2007. Throughout the years, this prominent d...
In this position paper, we argue that the Linked Open Data (LoD) Cloud, in its current form, is only...
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sou...
The LOD cloud is gathering a lot of momentum, with the number of contributors growing manifold. Many...
Abstract. LOD for all platform is among the world’s first repositories enabling unified access to th...
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sou...
The production of machine-readable data in the form of RDF datasets belonging to the Linked Open Dat...
Large-scale, algorithmic access to LOD Cloud data has been hampered by the absence of queryable endp...
The Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community over...
The Linked Open Data (LOD) cloud has been around since 2007. Throughout the years, this prominent de...
The LOD cloud has a potential for applicability in many AI-related tasks, such as open domain questi...
LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion un...
Many data scientists make use of Linked Open Data (LOD) as a huge interconnected knowledge base repr...
Ad-hoc querying is crucial to access information from Linked Data, yet publishing queryable RDF data...
Ad-hoc querying is crucial to access information from Linked Data, yet publishing queryable RDF data...
The Linked Open Data (LOD) cloud has been around since 2007. Throughout the years, this prominent d...
In this position paper, we argue that the Linked Open Data (LoD) Cloud, in its current form, is only...
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sou...
The LOD cloud is gathering a lot of momentum, with the number of contributors growing manifold. Many...
Abstract. LOD for all platform is among the world’s first repositories enabling unified access to th...
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sou...
The production of machine-readable data in the form of RDF datasets belonging to the Linked Open Dat...
Large-scale, algorithmic access to LOD Cloud data has been hampered by the absence of queryable endp...
The Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community over...
The Linked Open Data (LOD) cloud has been around since 2007. Throughout the years, this prominent de...
The LOD cloud has a potential for applicability in many AI-related tasks, such as open domain questi...