]> #DLCH Digital Libraries (DL) are fast becoming significant resources for the world’s knowledge. This is especially true in the Cultural Heritage (CH) sector, e.g., in Libraries, Archives and Museums, where large bodies of digital documents and metadata are being assembled and re-distributed through initiatives like Europeana.eu. But even though a lot content is already accessible via the visible Web, much more could be exploited, and better exploited using Semantic Web technology. Often, Digital Libraries focus on particular disciplinary and subject areas and constitute curated knowledge. Semantic Web techniques for digital libraries will therefore take advantage of much richer assumptions on domain-specific semantics, consistency and quality of content. Linked Data technology also offers unprecedented opportunities for data sharing and re-using, within the cultural domain itself, and across a wider range of sectors. #DLCH Digital Libraries and Cultural Heritage #ESWC This conference series started its life as the European Semantic Web Symposium (ESWS), which was held in Heraklion, Greece in May of 2004. The event was established by the SEKT, DIP, and KnowledgeWeb projects that made up the SDK cluster. Based on the success of this first event, the symposium was expanded and upgraded to a conference with the new name the European Semantic Web Conference (ESWC). #ESWC Extended Semantic Web Conference #ESWC http://eswc-conferences.org/ #GRDDL A markup format for Gleaning Resource Descriptions from Dialects of Languages; that is, for getting RDF data out of XML and XHTML documents using explicitly associated transformation algorithms, typically represented in XSLT. It is currently undergoing standardisation in the W3C. #GRDDL http://www.w3.org/2001/sw/grddl-wg/ #ISWC A series of academic conferences in which the latest research, results, and technical innovations on all aspects of the Semantic Web are presented. Its proceedings are published in the Lecture Notes in Computer Science by Springer-Verlag. #ISWC International Semantic Web Conference #ISWC http://en.wikipedia.org/wiki/International_Semantic_Web_Conference #N3 The de facto plain-text syntax for RDF and is regarded as the most transparent RDF syntax. #N3 Notation 3 #OWL The Ontology Web Language (OWL), is a language to extend the expressibility that RDF provides. OWL adds an additional layer of semantics on top of RDF. #RDF A method for expressing knowledge in a decentralized world, and it is the foundation of the Semantic Web. RDF isn't strictly an XML format, although an XML syntax is a part of the standard. #RDF http://www.w3.org/RDF/ #RDFa A set of extensions to XHTML being proposed by W3C that allows RDF to be encoded within an XHTML page. RDFa uses attributes from XHTML's meta and link elements, and generalises them so that they are usable on all elements. This allows you to annotate XHTML markup with semantics. #RDFa http://rdfa.info/ #SAWSDL A set of extension attributes for the Web Services Description Language and XML Schema definition language that allows description of additional semantics of WSDL components. #SAWSDL http://www.w3.org/TR/sawsdl/ #SPARQL A query language for RDF data based very loosely on SQL. #SPARQL http://www.w3.org/TR/rdf-sparql-query/ #conference Conference #core_specification Core Specification #linked_data The Linked Data paradigm is meanwhile established as a pragmatic approach for supporting the realization of the Semantic Web vision and providing a fertile soil for integrating a variety of research directions and usage scenarios. For managing the life-cycle of Linked Data on the Web, the stages of extraction, storage, revision, enrichment, repair, quality analysis and consumption of linked Web Data are of particular importance. #linked_data Linked Data #machine_learning With the growing availability of Semantic Web Data, machine learning approaches ---in particular inductive learning methods--- are increasing in relevance. The prospect is that innovative approaches for (semi-) automatically building and enriching ontologies from information sources such as Linked Data, tagged data, social networks, and ontologies will increasingly support Semantic Web applications. Furthermore, inductive incremental learning techniques can perform reasoning at large scale beyond the limitations of deductive approaches. Finally, machine learning can deal with the intrinsic uncertainty in Web data containing incomplete and/or contradictory information. #machine_learning Machine Learning #n_triples N-Triples is a line-based, plain text format for representing the correct answers for parsing RDF/XML[RDFMS] test cases as part of the RDF Core working group. #n_triples N-Triples #n_triples http://www.w3.org/2001/sw/RDFCore/ntriples/ #natural_language_processing Although knowledge processing on the Semantic Web is inherently language-independent, human interaction with semantically structured and linked data will remain inherently language-based as this will still be done preferably by use of natural language input. The interface between natural language on the one hand and semantically structured data and knowledge on the other is therefore a major topic of Semantic Web research, which can be observed also by a general increase of NLP-related topics that are of relevance to this community. #natural_language_processing Natural Language Processing #ontologies Ontologies, and related formal representations of conceptual knowledge, represent a core part of the research since the early days of the Semantic Web, as they provide the basis for the description of Web resources, data and knowledge that can be more effectively and intelligently exploited by humans and applications. #ontologies Ontologies #processes The use of service-oriented technologies for business process management and the offering of IT services (IaaS, PaaS, SaaS) by providers of public, private or federated clouds for scalable business applications in the Internet of Services is gaining momentum within industry and academia alike. Web APIs, linked data and linked services on the Web become increasingly available for numerous application domains. This track is concerned with latest advances in semantic technologies that are suitable to address the challenges and opportunities raised. #processes Processes, Services and Cloud Computing #reasoning Reasoning comprises all methods and technologies that are used to draw conclusions based on the semantics of ontologies and data. As such it is vital for evaluating semantic information in applications and it provides important support to ontology engineers during modeling. #reasoning Reasoning #semantic_data_management In the last years there has been a tremendous increase in the amount of semantic data (SD) available on the Web. The ability to understand, manage and query the SD is of paramount importance. SD management refers to a range of techniques that can be employed for storing, querying, manipulating and integrating data based on meaning. #semantic_data_management Semantic Data Management #semantic_web The Semantic Web is a collaborative movement led by the World Wide Web Consortium (W3C) that promotes common formats for data on the World Wide Web. #semantic_web Semantic Web #semantic_web http://semanticweb.org/ #sensor The correct interpretation and analysis of the raw numerical values provided by pervasive sensor networks and mobile devices now featuring several sensors requires proper semantics support and contextual knowledge. This will enable better data representation, integration, and use, and further aids in coping with the inherently unreliable nature of the observations provided by sensor networks and mobile devices, affected by sensor noise, faults, and resource constraints. #sensor Sensor and Mobile Web #social_web The widespread uptake of social functionality by web applications has lead to the creation of masses of social data, however such data is often provided using platform-dependent schemas and vocabularies, thereby limiting automated reuse. Enrichment of such data with common semantics would overcome such limitations and enable machine-readability and interpretation. Realising this goal requires research, not only into the semantic description of social data, but also to provide evidence of its utility, for example through intelligent behaviour analysis, user profiling and community analysis. #social_web Social Web and Web Science #standard An established norm or requirement about technical systems. #standard Standard #track Track #turtle Turtle is a textual syntax for RDF that allows RDF graphs to be completely written in a compact and natural text form, with abbreviations for common usage patterns and datatypes. Turtle provides levels of compatibility with the existing N-Triples and Notation 3 formats as well as the triple pattern syntax of the SPARQL W3C Proposed Recommendation. #turtle Turtle #turtle http://www.w3.org/TeamSubmission/turtle/