Category Archives: Community

Versioning for Big Linked Data: approaches and benchmarks

As LOD datasets are constantly evolving, both at schema and instance level, there is a need for systems that support efficiently storing and querying such evolving data. Such archiving systems must support various types of queries on data, including queries that access multiple versions (cross-version queries), queries that access the evolution history (delta) itself, as well as […]

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Hobbit @ ACL 2016

The annual meeting of the Association for Computational Linguistics (ACL) is the premier conference of the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language. ACL took place in Germany and was held at the Humboldt University, in the heart of Berlin, August […]

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Special issue on Benchmarking Linked Data @ Semantic Web journal

Special issue on Benchmarking Linked Data at Semantic Web – Interoperability, Usability, Applicability* (an IOS Press Journal) (* The journal Semantic Web – Interoperability, Usability, Applicability (published and printed by IOS Press, ISSN: 1570-0844), in short Semantic Web journal, brings together researchers from various fields which share the vision and need for more effective and […]

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Benchmarking RDF Query Engines – A mini-survey

Non-relational data management is starting to dominate the new data economy. Formats like XML, JSON and RDF are becoming the basis for data exchange in the Web and the Enterprise, and systems are constantly being developed for their support. For any such system to gain traction, it has to provide adequate support for its respective […]

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Initial Data Management Plan Drafted!

In one of its key tasks, HOBBIT will continuously collect various datasets (i.e., not limited to specific domains) as the base for benchmarks. Those data will initially be provided by the project industrial partners, and later on by members of the HOBBIT community. A data management plan will be used as a guideline when handling […]

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The roots of HOBBIT: GERBIL

The idea of creating a platform to host different benchmarking tools for the Big Linked Data lifecycle was born with the creation of the General Entity Annotator Benchmarking Framework [1](GERBIL). GERBIL is designed to facilitate the benchmarking of named entity recognition (NER), named entity disambiguation (NED) and other semantic tagging approaches. GERBIL’s objective is to […]

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4th Workshop on Graph-based Technologies and Applications

Graph-TA, organised by the DAMA-UPC (Data Management) group of Universitat Politècnica de Catalunya – BarcelonaTech, aims at encouraging researchers to present their current work and interact in an informal set up in order to foster collaboration with other colleagues. Thus, the workshop provides a forum for presenting and discussing research results and applications in the […]

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Big Linked Data Benchmarking Survey

We opened up a short survey to question the industry and other potential partners on how they are evaluating their software. The goal of this survey is to determine industry-relevant key performance indicators (KPI’s) for building benchmarks that measure these factors. With this survey, we aim to raise awareness about the HOBBIT project and lay a foundation for […]

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Why Join the Hobbit Community?

Linked Data technologies are proving their efficiency in creating interoperable IT systems that integrate disparate data sources. However, it is still unclear which solutions scale up the needs of modern business applications. Benchmarks have been created to support decisions on choosing the best software solution. However, they commonly fail to reflect business requirements in terms […]

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