Properties of ALOE

  1. Properties
  2. History
  3. Source
hookline
  • Assisted Linked Data Consumption Engine
content
  • Background

    The Linked Open Data (LOD) Cloud contains more than 31 billion triples. This wealth of knowledge is expressed by using a large number of vocabularies (e.g., FOAF, VCard, SKOS), leading to a schema mismatch between the different knowledge bases that express knowledge about the same types of entities (e.g., persons). Mismatches at instance level are similarly common, including the use of different units of measure (e.g., cm vs. inch for heights) or data types (e.g., strings instead of doubles for geographical coordinates of locations). The integration of this data is yet central for tasks such as large-scale inference, cross-ontology question answering, graph traversal and especially business applications that require all data to be available from their local servers in a particular format.

    Aim

    The aim of the ALOE (Assisted Linked data cOnsumption Engine) project is to provide an engine for the semi-automatic generation of consumption configurations. For this purpose, ALOE can automatically discover class and property mappings across endpoints even when no schema information is available. In addition, ALOE can generate initial specifications for the consumption of Linked Data. For this purpose, it provides several functions for transforming the data from the source knowledge base into a format that corresponds to that of the target knowledge base. Therewith, ALOE enables lay and experienced users to consume Linked Data with great ease. The ALOE process can be controlled via the interface shown below. Please note that the demo only consumes 1000 triples.

screenshot
abstract
  • The consumption of Linked Data is a task of increasing complexity on the Web of Data. This complexity is due to several factors, including the sheer size of the Web of Data, the diversity of vocabularies used to describe this data and the lack of schema information in knowledge bases. ALOE provide a semi-automatic solution to address this problem.
feed
maintainer
type
label
  • ALOE
logo

Feeds

Assisted Linked Data Consumption

Aug 11, 2011 12:47:21 AM | AxelNgonga

Yet another project for improving the access to Linked Data! It is our pleasure to announce the first version of the Assisted Linked Data Consumption Engine (ALOE). The aim of ALOE project is to assist users during the consumption from … Continue reading → ...

OntoWiki

Knowledge Bases

Login

  1. Local
  2. OpenID