Tutorials
Accepted tutorials at ESWC 2012
Tutorial 1:
Creating Knowledge out of Interlinked Data: The LOD2 Tool Stack
Creating Knowledge out of Interlinked Data: The LOD2 Tool Stack
Tutorial Leaders:
Sebastian Tramp, Bert Van Nuffelen and Sören Auer
Abstract:
This joint tutorial of the consortium of the FP7 project "LOD2 ? Creating Knowledge out of Interlinked Data" will give an overview on the area of creating, managing and using Linked Data sources. As a prerequisite to the main tutorial part, we give an overview of the life cycle of Linked Data usage and its challenges as well as the LOD2 software stack, which is an integrated distribution of aligned tools supporting the life-cycle of Linked Data from extraction, authoring/creation over enrichment, interlinking, fusing to visualization and maintenance. Based on this more foundational explanations, we present a detailed insight into the usage of LOD2 stack both with practical and non-practical parts. More specifically, we present tools and usage scenarios for the following Linked Data life cycle tasks: extraction (Triplify / D2R), storage and querying (Openlink Virtuoso), authoring (OntoWiki), interlinking (Silk / LIMES) as well as enrichment and repair (ORE). In addition to that, we present the LOD2 stack demonstrator which integrates these and other LOD2 tools for a better user experience.
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Tutorial material:
Date:
Room Clio | Sunday, May 27th | 09:00 – 12:30
Tutorial 2:
The Web of Data for E-Commerce in Brief
The Web of Data for E-Commerce in Brief
Tutorial Leaders:
Martin Hepp
Abstract:
A Hands-on Introduction to the GoodRelations Ontology, Schema.org, RDFa and Microdata Authoring, Google Rich Snippets for Products, Yahoo, Bing, and Linked Open Commerce.
The GoodRelations ontology (http://purl.org/goodrelations/) is one huge success story of applying Semantic Web technology to business challenges. In this tutorial, we will (1) give a comprehensive overview and hands-on training on the conceptual structures of the GoodRelations ontology including patterns for ownership and demand, (2) present the full tool chain for producing and consuming GoodRelations-related data, (3) explain the long-term vision of linked open commerce, (4) describe the main challenges for future research in the field, and (5) discuss advanced topics, like access control, identity and authentication (e.g. with WebID); micropayment services (like Payswarm), and data management issues from the publisher and consumer perspective.
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Date:
Room Clio | Sunday, May 27th | 14:00 – 17:30
Tutorial 3:
Data models, Query Languages, Implemented Systems and Applications of Linked Geospatial Data
Data models, Query Languages, Implemented Systems and Applications of Linked Geospatial Data
Tutorial Leaders:
Manolis Koubarakis, Kostis Kyzirakos and Manos Karpathiotakis
Abstract:
In this tutorial we survey the state of the art in data models, query languages, implemented systems and applications of linked geospatial data. Many kinds of geospatial data are becoming available as linked datasets given the proliferation of geospatial information on the Web (e.g., Google and Bing maps, user-generated geospatial content etc.). The topic of the tutorial is related to all core research areas of the Semantic Web (e.g., semantic information extraction, data modeling and ontologies, querying, reasoning, implemented systems etc.) since there is often a need to re-consider existing core techniques when we deal with geospatial information. Thus, it is timely to train Semantic Web researchers, especially the ones that are in the early stages of their careers, on the state of the art of this area and invite them to contribute to it.
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Tutorial material:
Date:
Room Efterpi | Sunday, May 27th | 14:00 – 17:30
Tutorial 4:
Accessing the Semantic Web via Statistical Machine Learning
Accessing the Semantic Web via Statistical Machine Learning
Tutorial Leaders:
Yi Huang and Volker Tresp
Abstract:
The traditional means of extracting information from the Web is via keyword search. The Semantic Web adds linked structured information which can support search of annotated documents but also enables the user to query abstracted information, supported by reasoning. In this tutorial we suggest that a third mean to access Web information is via statistical machine learning which abstracts information by exploiting statistical regularities. The increase of interest in statistical machine learning techniques has arisen largely due to the open, distributed and inherently incomplete nature of the semantic web. In this tutorial we will describe our work on statistical machine learning for the Semantic Web pursued in the German THESEUS project and in the EU FP7 project LarKC. In those projects, a scalable machine learning approach has been developed that is appropriate to the high-dimensional, sparse, and noisy data one encounters on the Semantic Web. The approach is based on matrix and tensor factorization and has shown good performance on a number of semantic web data sets. Extensions have been developed that model temporal effects and sequences and can exploit ontological background and textual information. The approach was employed in the winning entry in the ISWC 2011 Semantic Web Challenge.
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Tutorial material:
Date:
Room Clio | Monday, May 28th | 09:30 – 12:30
Tutorial 5:
Adaptive Semantic Data Management Techniques for Federations of Endpoints
Adaptive Semantic Data Management Techniques for Federations of Endpoints
Tutorial Leaders:
Maria-Esther Vidal, Edna Ruckhaus, Maribel Acosta, Cosmin Basca and Gabriela Montoya
Abstract:
Emerging technologies that support networks of sensors or mobile smartphones are making available an extremely large volume of data or Big Data; additionally, in the context of the Cloud of Linked Data, a large number of huge RDF linked datasets have become available, and this number keeps growing. Simultaneously, although scalable and efficient RDF engines that follow the traditional optimize-then-execute paradigm have been developed to locally access RDF data, SPARQL endpoints have been implemented for remote query processing. Given the size of existing datasets, lack of statistics to describe available sources, and unpredictable conditions of remote queries, existing solutions are still insufficient. First, the most efficient RDF engines rely their query processing algorithms on physical access and storage structures that are locally stored; however, because of the size of existing linked datasets, loading the data and their links is not always feasible. Second, remote linked data query processing can be extremely costly because of the lack of query planning; also, current techniques are not adaptable to unpredictable data transfers or data availability, thus, executions can be unsuccessful. To overcome these limitations, query physical operators and execution engines need to be able to access remote data and adapt query execution schedulers to data availability. In this tutorial we present the basis of adaptive query processing frameworks defined in the database area, and their applicability in the Linked and Big Data context where data can be accessed through SPARQL endpoints. This tutorial targets any conference attendee who wants to know limitations of existing RDF engines, adaptive query processing techniques, and how traditional RDF data management approaches can be well-suitable to runtime conditions, and extended to accessa large volume of data distributed in federations of SPARQL endpoints. The first edition of this tutorial was presented at ESWC 2011.
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Tutorial material:
Date:
Room Clio | Monday, May 28th | 14:00 – 17:30
Tutorial 6:
The Web of Things
The Web of Things
Tutorial Leaders:
Carolina Fortuna and Marko Grobelnik
Abstract:
The tutorial on Web of Things will discuss the vertical of the system by identifying the relevant components, illustrating their functionality and showing existing tools and systems. First the tutorial will cover architectural aspects and discuss the levels of abstraction for integrating the ?things? into the semantic web. Then, the tutorial will focus on semantic technology and analytic methods for leveraging services and applications on top of the things. Finally, through live demos, state of the art technology and tools will be showed. Existing projects and research directions will also be provided.
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Tutorial material:
Date:
Room Efterpi | Monday, May 28th | 14:00 – 17:30
