Lecturers

  • Sören Auer (U Leipzig)
    Introduction to Linked Data and its Life-Cycle  

  • Key-Sun Choi(KAIST)
    LOD2 Korea

  • Dominic Difranzo (RPI, USA)
    Open Government Data with LOD and Semantic Web  

  • Kouji Kozaki(Osaka U)
    1)LOD Challenge and Ontology Engineering to Enrich Linked Data 
    2)Current Trends of Japanese LOD -through LOD Challenge Japan

  • Pablo Mendes (Free U Berlin)
    Building A Web of Linked Entities    

  • Axel Ngonga(U Leipzig)
    From Unstructured information to Linked Data  

  • Jeff Z. Pan (U Aberdeen)
    1) Stream LOD and Querying Linked Ontological Data 
    2) Linked Data Enabled Software Engineering  

  • Virach Sornlertlamvanich (NECTEC),
    Creating Linked Data from Cultural Knowledge Society  

  • Hideaki Takeda(NII)
         1) General Introduction for Semantic Web, Linked Open Data  
         2) Identity and schema for Linked Open Data  
         3) LOD Application Exemplar

  • Fumihiro Kato (NII)
    Programming with LOD  

  • Jin-Dong Kim (DBCLS)
    Developing and publishing bio-medical data as LOD  

  • In-Young Ko (KAIST)
    LOD Localization and Application    

  • MunYong Yi (KAIST)
    Interlinking Korean Resources on the Web: Issues in Localization  

  • Young-il Kwon (NIA)
    Nation DB Project and Open Government Data in Korea  

  • Sung-guk Hahn (Wonkwang U)

  • Seungwoo Lee (KISTI)
    Development of Medical Term Search System Using Bioinformatics Linked Data 

  • Tony Lee (Saltlux)
    Geo-Semantic Applications with LOD

=== Detailed information ===

  • Sören Auer (U Leipzig), Introduction to Linked Data and its Life-Cycle

  • With Linked Data, a very pragmatic approach towards achieving the vision of the Semantic Web gained much traction. While many standards, methods and technologies developed within the Semantic Web activity are applicable for Linked Data, there are a also a number of specific characteristics of Linked Data, which have to be considered. In this lecture we introduce the main concepts of Linked Data. We present an overview of the Linked Data life-cycle and discuss individual approaches as well as the state-of-the-art with regard to extraction, storage and querying, authoring, linking, enrichment, quality analysis, evolution, as well as search and exploration of Linked Data. We discuss issues, limitations and further research and development challenges of Linked Data


  • Key-Sun Choi(KAIST), LOD2 Korea  

  • LOD (Linked Open Data) is an international endeavor to interlink structured data on the Web and create the Web of Data on a global level. Based on our experience of applying existing LOD frameworks, most of which are designed to run only in European language environments, to Korean resources to build linked data, this presentation will identify key localization issues in linking Korean resources to the LOD cloud, and describe the specific measures taken to address those identified issues. Those issues and measures are expected to be helpful to other researchers who wish to link their local resources to LOD.

  • Dominic Difranzo (RPI, USA)
    Open Government Data with LOD and Semantic Web


  • Kouji Kozaki(Osaka U)
     1)LOD Challenge and Ontology Engineering to Enrigh Linked Data
    2)Current Trends of Japanese LOD-through LOD Challenge Japan 

  • Pablo Mendes (Free U Berlin), Building A Web of Linked Entities

  • Although we have observed an explosion of the number of linked open data sources, the majority of the content available on the Web is still encoded in (hyper)textual documents. Web documents can provide links to other documents or to entity definitions present in Linked Data sources. Moreover, linked data also provides entity to entity interconnections, resulting in a Web of Linked Entities spanning structured and unstructured data. The association of textual and structured content has positive ramifications for information retrieval, integration and exploration. In this session we will explore several topics in the intersection of Linked Open Data and Natural Language Processing, including a description of DBpedia Spotlight and how it can be used in several scenarios to help realize the vision of a Web of Linked Entities.


  • Axel Ngonga(U Leipzig), From Unstructured information to Linked Data

  • Over the last five years, the Linked Open Data Cloud has evolved from a tiny set of knowledge bases to a large compendium of interlinked data sets. Yet, two problems arise when we take a closer look at the Cloud: First, most of the data available was extracted from structured data sources (such as relational databases) or from semi-structured data (such as Wikipedia Infoboxes). Yet, the largest portion of the Web consists of unstructured data. We will thus begin by presenting approaches for extracting RDF out of unstructured data. The second problem we will deal with occurs after each RDF extraction process and is centred on the creation of links between the novel dataset and existing datasets. Here, we will present the LIMES framework and how it addresses the two core problems behind link discovery, i.e., the creation of accurate link specifications and the time-efficient computation of links.


  • Jeff Z. Pan (U Aberdeen)
    1) Stream LOD and Querying Linked Ontological Data
    2) Linked Data Enabled Software Engineering

  • Virach Sornlertlamvanich (NECTEC), Creating Linked Data from Cultural Knowledge Society

  • Hideaki Takeda(NII),
         1) General Introduction for Semantic Web, Linked Open Data.

    The talk covers the wide area of LOD-related topics to know the background and the history of LOD. The talk starts from the birth of WWW then shifts to the growth of Semantic Web and finally reaches to Linked Open Data. The aim of the talk is to clarify the basic questions why Linked Open Data is needed and how it is different from others in the roles and the technologies.


         2) Identity and schema for Linked Open Data.

    The function of Linked Open Data is maximized when enough data is shared among different data sources. So enabling sharing is crucial to widespread Linked Open Data. The stability of data is one of key aspects to assure sharing of data. As long as the stability of data is assured, we can easily make links to resources in other data sources. The stability issue is divided into two; the identity issue and the schema issue. I will introduce the basic problem for the stability of data and then talk in particular two issues, i.e., the schema issue and the identity issue. For the former, I will introduce some well-known schemas good to use and mechanism to share schemas. For the latter, after showing the basic problems for identity, I will introduce some identity systems and their integration.


         3) LOD Application Exemplar.

    In this talk, I will talk about an application called Yokohama Art Spot with some other applications developed in our project LODAC to demonstrate how LOD can be built, integrated, and served with practical data. Yokohama Art Spot is the application to guide people to know museums and art events located in Yokohama city. Data from different data sources are aggregated and used in it. I will talk about the whole story to develop the application from the conceptualization of the data integration to design of the data model and the implementation of the system.



  • Fumihiro Kato (NII), Programming with LOD

  • This talk introduces programming libraries for LOD and describes how to interact with LOD to make a mashup application in Ruby


  • Jin-Dong Kim (DBCLS), Developing and publishing bio-medical data as LOD

  • Biology and medical science is an ontology-rich area in which ontologies have been actively developed by many groups. As so, there are many existing ontologies, and reuse of them is very important for the efficiency and effectiveness of developing bio-medical resources based on ontologies. The lecture will describe how a bio-medical ontology can be developed based on existing ontologies, and walk the audience through the steps to creating LOD of bio-medical data using standard tools.
    - BioPortal and ontologies in bio-medical area
    - Ontology development based on BioPortal
    - Producing RDF triples based on ontologies
    - Publishing RDF triples as LOD
    - Creating and publishing annotations as LOD


  • In-Young Ko (KAIST), LOD Localization and Application  


  • MunYong Yi (KAIST), Interlinking Korean Resources on the Web: Issues in Localization
  • Young-il Kwon (NIA), Nation DB Project and Open Government Data in Korea
  • Seongguk Han (Wonkwang U)
  • Seungwoo Lee(KISTI), Development of Medical Term Search System Using Bioinformatics Linked Data
  • Tony Lee (Saltlux), Geo-Semantic Applications with LOD

** Lecturers and Topics will be more updated.