]> WP4 – Reuse, Interlinking and Knowledge Fusion While WP3 is concerned with making legacy data available via URLs – a prerequisite – and enrichment of knowledge bases, this WP addresses automatic and semi-automatic link creation with minimal human interaction, evolvement of knowledge bases under the aspect of linkage and schema mapping combined with Data Fusion. 4 2012-02-29 D4.1.2 – Second Linking Assist Release 2013-02-28 D4.2.1 – DXX Data Linking Engine Release 2011-11-30 2012-04-30 D4.3.1 – State-of-the-Art Report for Mapping, QA and Data Fusion 2011-01-31 D4.3.2 – Conceptual Design and Implementation of Metrics 2012-02-29 D4.3.3 – Release of the data quality assessment tool 2012-08-31 D4.4.1 – Specification of the mapping publication and discovery framework 2011-06-30 D4.4.2 – Implementation of the mapping publication and discovery framework 2012-02-29 D4.4.3 – Integration of the mapping publication and discovery framework 2013-02-28 D4.5.1 – Initial release of Data Fusion Component 2012-08-31 D4.5.2 – Final release of Data Fusion Component 2013-08-31 Within this cluster of activities we will develop the technologies necessary to deliver the LOD2 promise – creating an integrated infrastructure for semantic information integration on the Web. In this context, three core challenges need to be addressed: <ol> <li>ensure the knowledge stores scale with the size of the Data Web,</li> <li>provide means for automatic knowledge extraction, alignment, interlinking and</li> <li>enable social collaboration.</li> </ol> At this stage, the focus will be on state-of-the-art and high- level methodologies, as well as illustrative examples based on paradigmatic scenarios. 2012-02-29 At this stage, the methodologies will be refined for specific organizational scenarios, and the tools will be scaled to real-world requirements. 2012-08-31 Final Framework Version (M36). In the final stage, the focus will be on evaluation of the WP outcomes and consolidation of the feedback from the use cases. 2013-08-31 WP3 – Knowledge Base Creation, Enrichment and Repair WP3 contains tasks focused on the transformation of legacy data to RDF and Linked Data and furthermore on the improvement of existing or extracted data especially with respect to schema enrichment and ontology repair. It is complementary to WP4, which is concerned with interlinking several knowledge bases and providing unified views of them. Tasks concerning the triplification of data will be grounded on existing techniques and know-how of the consortium and will be refined during the lifetime of this project and integrated into the LOD2 Stack. Legacy data triplification represents the entry point for legacy systems to participate in the LOD cloud. The members of the Consortium are leading in the development of transformational tools such as Virtuoso Sponger, RDF Views, D2R server, Triplify, and the DBpedia framework, which have received high acceptance in the Linked Data community. 3 WP5 – Adaptive Linked Data Visualization, Browsing and Authoring The objectives of WP5 are to develop new browsing, visualization and authoring interfaces for LOD, which support a wide range of devices (from mobile phones to desktop PCs), which integrate heterogeneous information from various sources and support the evolution of both instance data as well as information structures over time. In order to achieve these objectives we will explore new browsing and visualization paradigms. 5