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Luzzu—A Methodology and Framework for Linked Data Quality Assessment
A conceptual methodology for assessing Linked Datasets, and Luzzu; a framework for Linked Data Quality Assessment, which contributes towards the definition of a holistic data quality lifecycle in terms of the co-evolution of linked datasets.
Linked Data Notifications: A Resource-Centric Communication Protocol
- S. Capadisli, Amy Guy, C. Lange, S. Auer, A. Sambra, T. Berners-Lee
- Computer ScienceExtended Semantic Web Conference
- 28 May 2017
This article describes the Linked Data Notifications protocol, and evaluates the protocol’s effectiveness by analysing multiple, independent implementations, which pass a suite of formal tests and can be demonstrated interoperating with each other.
Template-Based Question Answering over Linked Geospatial Data
This system has been implemented as re-usable components of the Qanary question answering architecture to provide benefits for future research tasks and is given a detailed description of the architecture of the system, its underlying algorithms and its evaluation using a set of 201 natural language questions.
Why Reinvent the Wheel: Let's Build Question Answering Systems Together
It is suggested that Frankenstein precisely solves the QA optimisation problem but also enables the automatic composition of optimised QA pipelines, which outperform the static Baseline QA pipeline.
Evaluating the quality of the LOD cloud: An empirical investigation
In this quantitative empirical survey, 130 datasets are analysed using 27 Linked Data quality metrics, using the Principal Component Analysis (PCA) test in order to identify the key quality indicators that can give sufficient information about a dataset’s quality.
The Distributed Ontology, Modeling and Specification Language
The Distributed Ontology, Modelling and Specification Language (DOL) aims at providing a unified meta language for handling a diversity of ontology languages in use and provides constructs for “as-is” use of ontologies formulated in a specific ontology language.
Qanary - A Methodology for Vocabulary-Driven Open Question Answering Systems
- A. Both, Dennis Diefenbach, Kuldeep Singh, Saeedeh Shekarpour, D. Cherix, C. Lange
- Computer ScienceESWC
- 29 May 2016
This work provides an approach driven by a core QA vocabulary that is aligned to existing, powerful ontologies provided by domain-specific communities, and is agnostic to implementation details and that inherently follows the linked data principles.
daQ, an Ontology for Dataset Quality Information
The Dataset Quality Ontology (daQ) is a lightweight, extensible vocabulary for attaching the results of quality benchmarking of a linked open dataset to that dataset.
MINTE: semantically integrating RDF graphs
- D. Collarana, Mikhail Galkin, I. Ribón, Maria-Esther Vidal, C. Lange, S. Auer
- Computer ScienceWeb Intelligence, Mining and Semantics
- 19 June 2017
MINTE is an integration technique that relies on knowledge stated in RDF vocabularies and semantic similarity measures to merge semantically equivalent RDF graphs, i.e., graphs corresponding to the same real-world entity.
SWiM -- A Semantic Wiki for Mathematical Knowledge Management
- C. Lange
- Computer ScienceESWC
- 1 June 2008
SWiM is a semantic wiki for collaboratively building, editing and browsing mathematical knowledge represented in the domain-specific structural semantic markup language OMDoc that is currently being used for authoring content dictionaries.