Call for papers
Special Issue on Web Data Quality
International Journal on Semantic Web and Information Systems

Scope:

The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Open Data (LOD). The integration across this Web of Data, however, is hampered by the ‘publish first, refine later’philosophy. This leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and incomprehensibility. These problems affect every application domain, be it scientific (e.g., life science, environment), governmental or industrial applications.

This Special Issue is addressed to those members of the community interested in providing novel methodologies or frameworks in assessing, monitoring, maintaining and improving the quality of the Web of Data and also introduce tools and user interfaces which can effectively assist in the assessment. The benefits of such methodologies will not only help in detecting inherent data quality problems currently plaguing the Web of Data, but also provide the means to fix these problems and maintain the quality in the long run. Additionally, we also seek articles that help identify the current impediments in building real-world LOD applications

Topics:

Web data and LOD quality concepts

Scalability and performance of tools

Greetings World.

We are happy to announce that the AKSW papers “COALA – Correlation-Aware Active Learning of Link Specifications” and “When to Reach for the Cloud: Using Parallel Hardware for Link Discovery” were selected for presentation at ESWC 2013. Each of the papers deals with one of the two main hurdles to scalable Link Discovery. COALA presents approaches that improve the convergence of active learning algorithms for learning link specifications. For this aim, COALA uses graph clustering and weight decay to include information on the distribution of most informative positive and negative link candicates in the selection process. The second paper deals with the scalability of Link Discovery and presents practical suggestions on when to use which hardware for linking. As a highlight, it presents GPU and Cloud implementations of the HR3 algorithm that we presented at ISWC 2012. All algorithms are implemented within the LIMES framework.

Looking forward to seeing you at ESWC and link on!

Axel for AKSW

The AKSW papers “Sorry, I don’t speak SPARQL – Translating SPARQL Queries into Natural Language” and “Question Answering on Interlinked Data” were accepted as full research papers for presentation at WWW2013. The first paper presents SPARQL2NL, a framework which  deals with the translation of SPARQL queries (and RDF triples) into natural language. The intention behind SPARQL2NL is to support for lay users who want to know what happens in the backend of the semantic system they are using. The framework has already been integrated into two pieces of software, i.e., the question answering engine TBSL and BioASQ‘s annotation tool for bio-medical questions. Moreover, it was shown to be of help for both SPARQL experts and non-experts. Check out the demo here. The second paper focuses on keyword search and question answering on interlinked data sets and shows how links across knowledge bases can be used to answer questions that require aggregating knowledge from several knowledge bases. The final versions of the papers will be made available soon. Please check them out and let us know what you think.

Looking forward to seeing you at WWW,
Axel for AKSW

In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. The IEEE International Conference on Big Data 2013 (IEEE BigData 2013) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Applications.

We solicit high-quality original research papers (including significant work-in-progress) in any aspect of Big Data:

1. big data foundations

2. big data infrastructure

3. big data management

4. big data searching and mining

5. big data applications

INDUSTRIAL Track

The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages).

Further Information reg. call for papers and paper submission are available here.

More Information regarding the conference programm and organization are soon available here:

JIST recently promoted the submission of original research papers on Semantic Web and other semantic technologies, as well as papers on applications of semantic technologies for participation at the 2^nd Joint International Semantic Technology Conference (JIST2012).

Several members of the AKSW research group seized their opportunity and got all of their submitted papers accepted for presentation and publication at the conference, hosted in Nara, Japan, Dec 2 – 4, 2012.

accepted papers:

• Sebastian Hellmann, Jonas Brekle and Sören Auer- Leveraging the Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Data Cloud

• Joerg Unbehauen, Claus Stadler and Sören Auer – Accessing Relational Data on the Web with SparqlMap

• Sebastian Hellmann, Jens Lehmann, Joerg Unbehauen, Claus Stadler, Markus Strohmaier and Thanh Nghia Lam – Navigation-induced Knowledge Engineering by Example

• Didier Cherix, Sebastian Hellmann and Jens Lehmann - Improving the Performance of a SPARQL Component for Semantic Web Applications

• Saeedeh Shekarpour, Axel-Cyrille Ngonga Ngomo and Sören Auer – Keyword-driven Resource Disambiguation over RDF Knowledge bases

Congratulations to those that will travel to Japan to present and publish their work. For more information on the conference program and other papers please see here