Advertise with Googlier.com https://2016.semantics.cc/leds--linked-enterprise-data-services Innovative Regional Growth Core in the Area of Leipzig   The innovative growth core project Linked Enterprise Data Services (LEDS) is aiming at developing, establishing and merchandising the next generation of semantic, interlinked data driven applications and services based on the Linked Data paradigm. In order to achieve this goal, LEDS develops a technology platform, which will include competences, methods and concrete technological building blocks. The project is directly in line with the development of Web 3.0 and with the 2020 strategy for eGovernment.    Conference Participation LEDS project partners are part of the SEMANTiCS2016 organisation team and will give research and industry talks during the conference. LEDS representatives are members of the programme committees and are nominated as Poster Chair and as Sponsoring Chair. In addition to that, we have chosen the SEMANTiCS2016 as our first public outcome event. Topics In the research and industry programme we will focus on the following topics: Versioning and Co-Evolution of Linked Data Linking and Knowledge Extraction in the Context of Linked Enterprise Data Lighting Talks of current and upcoming tools and research in this field Open eGovernment Data Semantic eCommerce Natural Language Processing Corporate Memory and Big Data / Linked Data Integration. Talks This includes but is not limited to the following talks: Jörg Unbehauen and Michael Martin: “Executing SPARQL Queries over Mapped Document Stores with SparqlMap-M” Michael Krug, Martin Seidel, Frank Burian and Martin Gaedke: “KESeDa: Knowledge Extraction from Heterogeneous Semi-Structured Data Sources” Natanael Arndt, Norman Radtke and Michael Martin: “Distributed Collaboration on RDF Datasets Using Git: Towards the Quit Store” Marvin Frommhold, Ruben Navarro Piris, Natanael Arndt, Sebastian Tramp, Niklas Petersen and Michael Martin: “Towards Versioning of Arbitrary RDF Data”  Posters           Stand No. Title Authors   6 Adding Semantics to Model Driven ApplicationDevelopment with CVtec and SparqlMap Jörg Unbehauen, Andreas Nareike and Johannes Schmidt   18 Towards Reputation-Aware Expert Finding with Linked Open Data Sebastian Heil, Stefan Wild, Michael Krug and Martin Gaedke   26 Using DevOps principles to continuously monitor RDF data quality Roy Meissner and Kurt Junghanns   28 Enforcing scalable authorization on SPARQL queries Joerg Unbehauen, Marvin Frommhold and Michael Martin   32 OntoWiki 1.0: 10 Years of Development - What's New in OntoWiki Philipp Frischmuth, Natanael Arndt and Michael Martin   34 Quit Diff: Calculating the Delta Between RDF Datasets under Version Control Natanael Arndt and Norman Radtke   Cross-cutting project topics The project is funded by the German Federal Ministry of Education and Research. The three-year project started in 2015 and is split into six work areas which tackle the most crucial aspects of semantic applications: speed, capacity, scalability, complexity and interactivity. In detail the LEDS partners push the limits in regards to: Enterprise Linked Data & Data Integration Semantic Information Management Management of background knowledge with regard to co-evolution, curation and orchestration Data quality assurance Data coherence Knowledge Discovery & Intelligent Search Scalable search on Linked Data Knowledge extraction from unstructured, semi-structured and other non-RDF data sources Business Models, Governance & Data Strategies eCommerce and application of Linked Data in online shop systems Interlinking public, commercial and administrative data The following research topics announced for the SEMANTiCS2016 programme are covered by the LEDS project: Corporate Knowledge Graphs Economics of Data, Data Services and Data Ecosystems  Big Data & Text Analytics Data Portals & Knowledge Visualization Semantic Information Management Smart Connectivity, Networking & Interlinking Smart Data & Semantics in IoT Industry & Engineering Public Administration Publishing, Marketing & Advertising     Partners LEDS is a joint research project addressing the evolution of classic enterprise IT infrastructure to semantically linked data services. The research partners are the Leipzig University and Technical University Chemnitz as well as the semantic technology providers Netresearch, Ontos, brox IT-Solutions, Lecos and eccenca.  brox IT-Solutions GmbH Leipzig University Ontos GmbH TU Chemnitz Netresearch GmbH & Co. KG Lecos GmbH eccenca GmbH   Supported by   Speakers       en https://2016.semantics.cc/natanael-arndt <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/NatanaelArndt.jpg?itok=rcRz-vDp" width="100" height="100" alt="Natanael Arndt" title="Natanael Arndt" /></div><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/aksw_uniLeipzig_1.png?itok=fm1HAQUh" width="100" height="43" alt="" /></div></div></div><div class="field field-name-field-organization"><a href="http://www.aksw.org">AKSW, Universität Leipzig</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>Distributed Collaboration on RDF Datasets Using Git: Towards the Quit Store</h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Collaboration is one of the most important topics regarding the evolution of the World Wide Web and thus also for the Web of Data. In scenarios of distributed collaboration on datasets it is necessary to provide support for multiple different versions of datasets to exist simultaneously, while also providing support for merging diverged datasets. In this paper we present an approach that uses SPARQL 1.1 in combination with the version control system Git, that creates commits for all changes applied to an RDF dataset containing multiple named graphs. Further the operations provided by Git are used to distribute the commits among collabora-tors and merge diverged versions of the dataset. We show the advantages of (public) Git repositories for RDF datasets and how this represents a way to collaborate on RDF data and consume it. With SPARQL 1.1 and Git in combination, users are given several opportunities to participate in the evolution of RDF data.</p> </div></div></div><h3 class="label-above">CV</h3><p>As a research associate of the working group "Agile Knowledge Engineering and Semantic Web" (AKSW) at the Leipzig University, Natanael Arndt is an active participant in the research on collaborative knowledge engineering and Linked Data for many years. He has worked with the Leipzig University Library in the management of electronic resources (e-paper, e-books, databases) using Linked Data. Within the LEDS project he currently leads the key area "Management of Background Knowledge", which addresses the topics of co-evolution as well as enrichment of internal data with knowledge from the Web of Data and its management.</p> Mon, 15 Aug 2016 13:40:16 +0000 wolfc 2274 at https://2016.semantics.cc https://2016.semantics.cc/natanael-arndt#comments https://2016.semantics.cc/j%C3%B6rg-unbehauen <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/unbehauen_joerg.jpg?itok=gtE8Ktqo" width="100" height="100" alt="Jörg Unbehauen" title="Jörg Unbehauen" /></div><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/aksw_uniLeipzig_0.png?itok=rhaH1v3d" width="100" height="43" alt="AKSW, Universität Leipzig" title="AKSW, Universität Leipzig" /></div></div></div><div class="field field-name-field-organization"><a href="http://aksw.org/About.html">AKSW, Universität Leipzig</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>Executing SPARQL Queries over Mapped Document Stores with SparqlMap-M</h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>With the increasing adoption of NoSQL data base systems like MongoDB or CouchDB more and more applications store structured data according to a non-relational, document oriented model. Exposing this structured data as Linked Data is currently inhibited by a lack of standards as well as tools and requires the implementation of custom solutions. While recent efforts aim at expressing transformations of such data models into RDF in a standardized manner, there is a lack of approaches which facilitate SPARQL execution over mapped non-relational data sources. With SparqlMap-M we show how dynamic SPARQL access to non-relational data can be achieved. SparqlMap-M is an extension to our SPARQL-to-SQL rewriter SparqlMap that performs a (partial) transformation of SPARQL queries by using a relational abstraction over a document store. Further, duplicate data in the document store is used to reduce the number of joins and custom optimiza-tions are introduced. Our showcase scenario employs the Berlin SPARQL Benchmark (BSBM) with different adap-tions to a document data model. We use this scenario to demonstrate the viability of our approach and compare it to different MongoDB setups and native SQL.</p> </div></div></div><h3 class="label-above">CV</h3><p>Jörg Unbehauen started his career in computer sciences by studying and working at a large telecommunications provider, where his work revolved around data integration.  Seeking new challenges, he continued studying in Lüneburg and Wolverhampton and is currently pursuing his Ph.D. in Leipzig. His work at the AKSW research group focuses on SPARQL query translations and transformations in different settings.</p> Mon, 15 Aug 2016 13:31:41 +0000 wolfc 2273 at https://2016.semantics.cc https://2016.semantics.cc/j%C3%B6rg-unbehauen#comments https://2016.semantics.cc/michael-krug <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/MichaelKrug_0.jpg?itok=Li3Lj8ar" width="100" height="100" alt="Michael Krug" title="Michael Krug" /></div><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/TUchemnitz.png?itok=x5IXLkln" width="100" height="50" alt="TU Chemnitz" title="TU Chemnitz" /></div></div></div><div class="field field-name-field-organization"><a href="https://www.tu-chemnitz.de/">TU Chemnitz</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>KESeDa: Knowledge Extraction from Heterogeneous Semi-Structured Data Sources</h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>A large part of the free knowledge existing on the Web is available as heterogeneous, semi-structured data, which is only weakly interlinked and in general does not include any semantic classi fication. Due to the enormous amount of information the necessary preparation of this data for integrating it in the Web of Data requires automated processes. The extraction of knowledge from structured as well as unstructured data has already been the topic of research. But especially for the semi-structured data format JSON, which is widely used as a data exchange format e.g., in social networks, extraction solutions are missing. Based on the fi ndings we made by analyzing existing extraction methods, we present our KESeDa approach for extracting knowledge from heterogeneous, semi-structured data sources. We show how knowledge can be extracted by describing diff erent analysis and processing steps. With the resulting semantically enriched data the potential of Linked Data can be utilized.</p> </div></div></div><h3 class="label-above">CV</h3><p>Michael Krug finished his studies in applied computer science with a diploma in 2011 and is currently a PhD student at the professorship for distributed and self-organizing systems at the Technische Universität Chemnitz. He has been working on several research projects (FP7, ESF) regarding web mashups, media enrichment and component technologies. Since mid of 2015 he is one of two researchers from TU Chemnitz working on the project LEDS and focuses on knowledge extraction, quality assessment and new search paradigms for linked data.</p> Mon, 15 Aug 2016 13:12:22 +0000 wolfc 2270 at https://2016.semantics.cc https://2016.semantics.cc/michael-krug#comments https://2016.semantics.cc/marvin-frommhold <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/MarvinFrommhold.jpg?itok=TwodAQ3S" width="100" height="100" alt="Marvin Frommhold" title="Marvin Frommhold" /></div><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/aksw_uniLeipzig.png?itok=b2AorSpy" width="100" height="43" alt="AKSW, Universität Leipzig" title="AKSW, Universität Leipzig" /></div></div></div><div class="field field-name-field-organization"><a href="http://aksw.org/About.html">AKSW, Universität Leipzig</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>Towards Versioning of Arbitrary RDF Data</h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Coherent and consistent tracking of provenance data and in particular update history information is a crucial building block for any serious information system architecture. Version Control Systems can be a part of such an architecture enabling users to query and manipulate versioning information as well as content revisions. In this paper, we introduce an RDF versioning approach as a foundation for a full featured RDF Version Control System. We argue that such a system needs support for all concepts of the RDF specifi cation including support for RDF datasets and blank nodes. Furthermore, we placed special emphasis on the protection against unperceived history manipulation by hashing the resulting patches. In addition to the conceptual analysis and an RDF vocabulary for representing versioning information, we present a mature implementation which captures versioning information for changes to arbitrary RDF datasets.</p> </div></div></div><h3 class="label-above">CV</h3><p>Marvin Frommhold received his M.Sc. in Computer Science from Leipzig University. He is currently working at eccenca GmbH in Leipzig as Linked Data Engineer. In parallel, he is doing his doctorate in Computer Science at Leipzig University as a member of the AKSW research group. The focus of his research lies on versioning and distribution of RDF data.</p> Mon, 15 Aug 2016 13:06:32 +0000 wolfc 2269 at https://2016.semantics.cc https://2016.semantics.cc/marvin-frommhold#comments https://2016.semantics.cc/robert-isele <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/LEDS_Robert-Isele_mod.jpg?itok=Be4TtGV0" width="100" height="100" alt="Robert Isele" title="Robert Isele" /></div><p class="job-title">Head of Data Integration Unit</p><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/logo-eccenca_1.png?itok=hKDHYyiP" width="75" height="81" alt="eccenca GmbH" title="eccenca GmbH" /></div></div></div><div class="field field-name-field-organization"><a href="https://www.eccenca.com/">eccenca GmbH</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>eccenca CorporateMemory - Semantically integrated Enterprise Data Lakes </h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Large corporations have to master vast amounts of heterogeneous data in order to stay competitive. While existing approaches have attempted to consolidate and manage the data by forcing it into a single shared data model, data lakes recently emerged that instead provide a central storage point for holding all data sets in their original form.</p> <p>In this talk, we present eccenca CorporateMemory, which extends the data lake paradigm with a semantic integration layer for managing diverse, but semantically enriched data. eccenca CorporateMemory builds an extensible knowledge graph that employs RDF vocabularies for transforming and linking multiple datasets in order to generate an integrated semantic understanding of the data.</p> </div></div></div><h3 class="label-above">CV</h3><p>Robert Isele holds a diploma in computer science from the Technical University of Munich and a PhD from the University of Mannheim. The focus of his work is data integration of linked data sources. He leads the development of the Silk Link Discovery Framework and contributed to a number of data integration systems and worked in various FP7 projects. Since 2013, Robert is responsible for the data integration unit at eccenca GmbH.</p> Tue, 26 Jul 2016 13:31:00 +0000 wolfc 2223 at https://2016.semantics.cc https://2016.semantics.cc/robert-isele#comments https://2016.semantics.cc/christian-opitz <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/cop_mod.jpg?itok=DY8WHC_L" width="100" height="100" alt="Christian Opitz" title="Christian Opitz" /></div><p class="job-title">Head of innovation management</p><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/logo_netresearch.jpg?itok=f9WGWCG9" width="100" height="18" alt="Netresearch GmbH &amp; Co. KG" title="Netresearch GmbH &amp; Co. KG" /></div></div></div><div class="field field-name-field-organization"><a href="http://www.netresearch.de">Netresearch GmbH &amp; Co. KG</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>Semantic E-Commerce - Use Cases in Enterprise Web Applications</h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Semantic technologies offer a wide range of benefits in an increasing number of application fields such as data management, business intelligence, machine learning etc. However - likely due to their complexity and the ambiguous business value - semantics yet play a little role in SME applications. As e-commerce industry partner of the LEDS project, Netresearch identified concrete use cases for semantic technologies, that provide improved solutions for common business requirements like data integration, content creation, catalog management and search.</p> </div></div></div><h3 class="label-above">CV</h3><p>Christian Opitz started studying mechanical engineering at the university of applied sciences Merseburg in 2004. Two years later he changed his course of study to media and communications technology and finished this course as Bachelor. Afterwards he continued and delved his study with a master course in technical editing and knowledge communication in Merseburg. He completed his study with the best master thesis of the year in faculty of informatics and communication systems in Merseburg.</p> <p><br /> While his study Christian Opitz founded his own agency Netzelf and developed several TYPO3 websites for his customers as an independent developer and project manager. In 2012 he started working at the internet and e-commerce agency <a href="https://www.netresearch.de/">Netresearch GmbH &amp; Co. KG</a> as a project manager in TYPO3 projects. Now he is head of the innovation management and responsible for all innovation activities of the company like the research project LEDS. Additionally he is the contact person for his colleagues regarding innovation ideas and their practical realisation at Netresearch.</p> Tue, 26 Jul 2016 12:00:09 +0000 wolfc 2222 at https://2016.semantics.cc https://2016.semantics.cc/christian-opitz#comments https://2016.semantics.cc/martin-voigt <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/Martin-Voigt_mod.jpg?itok=HMflhO-n" width="100" height="100" alt="Martin Voigt " title="Martin Voigt " /></div><p class="job-title">CEO Ontos GmbH</p><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/logo-ontos_0.png?itok=jjSfXrk7" width="100" height="29" alt="Ontos GmbH" title="Ontos GmbH" /></div></div></div><div class="field field-name-field-organization"><a href="http://www.ontos.com">Ontos GmbH</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>Streaming-based Text Mining using Deep Learning and Semantics</h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Since the most of the world’s data is unstructured, the mining of required information from text was, is and will be essential. However, the requirements for text mining are becoming more complex, as rare languages or new domains need to be supported, social media content has often a worse grammar or mixed languages, and the amount and velocity of the data growths constantly. To compete with these requirements, the current research progress regarding Deep Learning (DL) for Natural Language Processing seems to promising. Within the LEDS project, Ontos rely on them in order to develop a DL-based MINER in order to extract required information from arbitrary texts. This service is embedded into a streaming platform that allows for 1) flexible text mining with a high throughput and 2) a disambiguation and linking against existing knowledge bases. In this industry talk, we will provide insights regarding concepts, implementations, and the proof-of-concept for news and social media aggregation.</p> </div></div></div><h3 class="label-above">CV</h3><p>Dr. Martin Voigt received his Diploma degree from TU Dresden, Germany, in April 2009. At the same university, he worked as researcher, project manager and Ph.D. student in the field of composite web application engineering, Semantic Web technologies and Information Visualization until February 2014. Then he joined the Ontos team in Leipzig, Germany, as senior researcher and project manager where he managed several industry and research projects. In 2015, he received his Ph.D and becomes the managing director of Ontos GmbH. His current research focus is about making end users able to understand Big Data without being a data scientist or a visualization expert. Therefore, he focuses on intelligent backend technologies (Semantic Web, machine learning, NLP, etc.) but also on usable, helpful user interfaces.</p> Tue, 26 Jul 2016 09:02:19 +0000 wolfc 2221 at https://2016.semantics.cc https://2016.semantics.cc/martin-voigt#comments https://2016.semantics.cc/hans-christian-brockmann <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/picture-hans-christian-brockmann_mod.jpg?itok=R8TkXUqi" width="100" height="100" alt="" /></div><p class="job-title">CEO of eccenca GmbH and brox IT-Solutions GmbH</p><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/logo-eccenca_0.png?itok=rXsLnqMU" width="75" height="81" alt="eccenca GmbH" title="eccenca GmbH" /></div></div></div><div class="field field-name-field-organization"><a href="http://www.eccenca.com">eccenca GmbH</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>LEDS Linked Enterprise Data Services</h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>The innovative growth core project Linked Enterprise Data Services (LEDS) is aiming at developing, establishing and merchandising the next generation of semantic, interlinked data driven applications and services based on the Linked Data paradigm. In order to achieve this goal, LEDS develops a technology platform, which will include competences, methods and concrete technological building blocks. The project is directly in line with the development of Web 3.0 and with the 2020 strategy for eGovernment. </p> </div></div></div><h3 class="label-above">CV</h3><p>Hans-Christian Brockmann obtained a BA from the University of Göttingen and an MBA from Wake Forrest University Winston-Salem, North Carolina. He worked as sales manager at Baan Solution Center Automotive in the late nineties before starting brox IT-Solutions GmbH in 1998. Hans-Christian initiated the Eclipse project SMILA (SeMantic Information Logistics Architecture) strongly believing in the high potential of Semantic Web and Linked Data technologies and served as a director in the board of the Eclipse Foundation. His vision is to create a standardized infrastructure for information logistics and to develop applications which seamlessly combine structured and unstructured information. In 2013 Hans-Christian founded eccenca GmbH as a subsidiary of brox IT Solutions GmbH and as a partner company of AKSW research group at the University of Leipzig.</p> Tue, 26 Jul 2016 08:52:51 +0000 wolfc 2220 at https://2016.semantics.cc https://2016.semantics.cc/hans-christian-brockmann#comments https://2016.semantics.cc/s%C3%B6ren-auer <div class="round"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/thumbnail/public/Speakers/Auer-Soeren.jpg?itok=nnEEbxfC" width="100" height="100" alt="Prof. Dr. Sören Auer " title="Prof. Dr. Sören Auer " /></div><p class="job-title">Professor and Head of Department</p><div class="field field-name-field-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img typeof="foaf:Image" src="https://2016.semantics.cc/sites/2016.semantics.cc/files/styles/keynote_logo/public/fraunhofer_iais.png?itok=562BGL8R" width="100" height="27" alt="" /></div></div></div><div class="field field-name-field-organization"><a href="https://www.iais.fraunhofer.de/">Fraunhofer Institute for Intelligent Analysis and Information Systems</a></div><p class="label-light"><a href="/leds--linked-enterprise-data-services" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">LEDS Linked Enterprise Data Services</a></p><h3>Enterprise Knowledge Graphs</h3><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>In the last years, Big Data as well as Linked Data technologies gained wide attention. The primary goal of Big Data technologies is the high-performance analysis of large-scale data (volume and velocity), while Linked Data aims at integrating distributed, heterogeneous data (Variety). In this talk, we introduce the concept of knowledge graphs based on the RDF and Linked Data paradigm and discuss some crucial research and technology challenges. We discuss some strategies, how the Big Data and Linked Data paradigms can be synergistically combined for example with Semantic Data Lakes.<br /><br />  </p> </div></div></div><h3 class="label-above">CV</h3><p>Prof. Dr. Sören Auer is head of the “Enterprise Information Systems” department at Fraunhofer IAIS and professor for Computer Science at the University of Bonn. His research interests include semantic technologies, knowledge representation, engineering &amp; management, as well as information systems. Sören was a founding chair of the European Data Forum and now leads its steering committee. Sören coordinated the FP7 flagship project “LOD2 - Creating Knowledge out of Interlinked Data” till 2014 and is now serving as coordinator of the H2020 CSA BigDataEurope and the H2020 MCSA ITN “WDAqua – Answering Questions using Web Data”. He serves on the board of directors of the Big Data Value Association. Sören’s research group has gained world-wide reputation with projects like DBpedia, SlideWiki, LinkedGeoData and OntoWiki. Technologies developed in his department are in use by notable companies.<br /><br />  </p> Wed, 20 Jul 2016 12:04:34 +0000 wolfc 2218 at https://2016.semantics.cc https://2016.semantics.cc/s%C3%B6ren-auer#comments