ESWC 2012 - 9th Extended Semantic Web Conference

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Category ESWC 2012

Deadline: December 05, 2011 | Date: May 27, 2012-May 30, 2012

Venue/Country: Heraklion, Greece

Updated: 2011-08-27 08:04:16 (GMT+9)

Call For Papers - CFP

Creating such an interlinked Web of knowledge which spans unstructured, RDF as well as multimedia content and services requires the collaboration of many disciplines, including but not limited to: Artificial Intelligence, Natural Language Processing, Database and Information Systems, Information Retrieval, Machine Learning, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science.

In addition to the research and in-use tracks, we have furthermore introduced two special tracks this year, putting particular emphasis on inter-disciplinary research topics and areas that show the potential of exciting synergies for the future.

Important Dates

Abstract submission December 5th, 2011

Full-paper submission December 12th, 2011

Notification of acceptance/rejection February 22nd, 2012

Camera-ready papers March 9th, 2012

Additional Information

ESWC2012 welcomes the submission of original research and application papers dealing with all aspects of representing and using semantics on the Web. We encourage theoretical, methodological, empirical, and applications papers. The proceedings of this conference will be published in Springer's Lecture Notes in Computer Science series. Paper submission and reviewing for ESWC2012 will be electronic via the conference submissions site. Each paper must be assigned to one of the tracks below.

Papers should not exceed fifteen (15) pages in length and must be formatted according to the information for LNCS authors. Papers must be submitted in PDF (Adobe's Portable Document Format) format and will not be accepted in any other format. Papers that exceed 15 pages or do not follow the LNCS guidelines risk being rejected automatically without a review. Authors of accepted papers will be required to provide semantic annotations for the abstract of their submission - details of this process will be provided on the conference Web page at the time of acceptance. At least one author of each accepted paper must register for the conference. More information about the Springer's Lecture Notes in Computer Science (LNCS) are available on the Springer LNCS Web site.

Submission will be through the Easychair system: https://www.easychair.org/account/signin.cgi?conf=eswc2012

Call for Papers ESWC 2012 Tracks

In-Use Tracks

Semantic Web In-Use

Chairs: Yves Raimond, BBC, United Kingdom-UK

Philippe Cudre-Mauroux, eXascale Infolab, University of Fribourg, Switzerland-CH

Research Tracks

Ontologies

Chairs: Dimitris Plexousakis, Foundation for Research and Technology ? Hellas, Greece-GR

Chiara Ghidini, Bruno Kessler Foundation, Italy-IT

Reasoning

Chairs: Giovambattista Ianni, Universitá della Calabria, Italy-IT

Markus Krötzsch, University of Oxford, United Kingdom-UK

Semantic Data Management

Chairs: Claudio Gutierrez, Universidad de Chile, Chile-CL

Andreas Harth, KIT, Germany-DE

Social Web and Web Science

Chairs: Matthew Rowe, KMI, Open University, United Kingdom-UK

Fabien Gandon, INRIA Sophia-Antipolis, France-FR

Linked Data

Chairs: Juan Sequeda, The University of Texas at Austin, United States-US

Sören Auer, Chemnitz University of Technology, Germany-DE

Processes, Services and Cloud Computing

Chairs: Matthias Klusch, DFKI, Germany-DE

Carlos Pedrinaci, Open University, United Kingdom-UK

Natural Language Processing

Chairs: Johanna Voelker, University of Mannheim, Germany-DE

Paul Buitelaar, DERI, National University of Ireland, Ireland-IE

Sensor and Mobile Web

Chairs: Kerry Taylor, CSIRO ICT Centre, Australia-AU

Alasdair J G Gray, University of Manchester, United Kingdom-UK

Machine Learning

Chairs: Volker Tresp, Siemens, Germany-DE

Claudia d´Amato, University of Bari, Italy-IT

Special Tracks

Digital Libraries and Cultural Heritage Track

Chairs: Antoine Isaac, Vrije Universiteit Amsterdam, Netherlands-NL

Vivien Petras, Humboldt University, Berlin, Germany-DE

EGovernment: Using Semantics for Promoting Interoperability in the Public Sector

Chairs: Vassilios Peristeras, European Commission,

Asunción Gomez-Perez, Universidad Politecnica de Madrid, Spain-ES

In-Use Track:

Semantic Web In-Use

Semantic technologies are transversal technologies, and hence can be applied to a wide range of domains ranging from eGovernment to manufacturing. Demonstrating the beneficial use of semantic technologies in those domains is a major challenge. The Semantic Web In-Use track is devoted to showcase implemented applications, learned best practices as well as assessments and evaluations of semantic techniques in the enterprise and in real world deployments. Domains of interest include, but are not limited to:

Best practices and lessons learnt for the Semantic Web

Implementation issues for Semantic Web systems

Using Linked Data in the enterprise

Analyses and evaluations of Semantic Web technologies

Semantics for enterprise applications

Experiences in deploying Semantic Web technologies

Semantic Web in new application domains, including: eGovernment, eEnvironment, eMobility and smart cities, eHealth, Life Sciences, Sensor networks, Media and entertainment, Telecommunications, Cultural heritage, Financial services, Energy and utilities, Manufacturing, Digital libraries, Cloud applications, Personal Information Management, etc.

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Research Track:

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. This track is intended to showcase new developments and innovative techniques for building, maintaining, reasoning with and evaluating ontologies in the context of the Semantic Web, as well as novel applications exploiting ontologies in challenging settings, including the open Web. In particular we invite contributions that will advance the state of the art in:

Languages, tools, and methodologies for ontology engineering

Ontology learning

(Collaborative) Ontology Engineering

Ontology matching, alignment and merging

Ontology Evolution

Ontology repositories and ontology search

Ontology-based data integration

Knowledge acquisition

Design patterns

Ontology management, maintenance and reuse

Ontology quality and evaluation

Ontology-based applications

Ontologies for specific domains

Ontology-based information retrieval

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Research Track:

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. The ESWC 2012 Reasoning Track welcomes original contributions on all aspects of reasoning that pertain to semantic technologies. This includes submissions with strong relations to other tracks given that reasoning plays a key role. The range of topics of interest includes, but is not limited to, the following:

Scalable and lightweight reasoning

Coping with errors and inconsistencies

Reasoning under uncertainty

Data-intensive reasoning and reasoning in semantic data stores

Datalog and declarative rule-based reasoning

Production rules and operational rule-based reasoning

Description logics and DL-based OWL reasoning

RDF, RDFS and RDF-based OWL reasoning

Distributed and parallel reasoning

Approximate and incomplete reasoning techniques

Nonmonotonic semantics, commonsense reasoning, and hybrid approaches

Non-standard semantics and reasoning tasks

Implementation and system evaluation

Applications of reasoning

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Research Track:

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 repositories and databases

Query processing of semantic data

Semantic access to legacy data

Management of spatial, temporal semantics

Virtualized semantic stores and scalability

Exploratory semantic searching and browsing

Security and privacy

Traceability and trustworthiness

Benchmarking

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Research Track:

Social Web and Web Science

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. To this end we invite submissions of state of the art work within, but not entirely limited to, the following topic areas:

Schemas/ontologies for social data and reconciling social semantics with format semantics

Semantic enrichment of the Social Web (RDFa, microdata) and Linked Data on the Social Web

Querying, mining and analysis of social semantic data and dynamics

Semantic network and community analysis and supporting community lifecycles

Social Semantics in micro (user profiles, behaviours, messages, etc.) and macro (social constructs, metrics, etc.) levels

Semantics in mobile social networks and mobile access to social data on the web

Web users as virtual and physical sensors, crawlers, etc. for a ubiquitous social semantic web

Social Semantic Web and the Internet of Things and reality augmented by the social semantic web

Semantically-enabled social platforms and applications: wikis, forums, portals, blogs and microblogs, etc

Reasoning and personalization based on semantics: recommendations, social navigation, collaborative search, social filtering, etc.

Privacy, policy and access control on Social Semantic Web

Provenance, reputation and trust on Social Semantic Web

Semantics for Human-based computation and vice-versa

Socialized semantic web applications: shared semantic desktop, collaborative knowledge creation, semantic bookmarking, etc.

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Research Track:

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. Consequently, we invite papers to be submitted to this track which advance the state of the art in particular in:

Linked Data publication

Entity resolution and interlinking

Managing the storage and publication of data, interlinks, and embedded LOD

Linked data and metadata integration/fusion/consolidation

Dataset curation

Linked Data consumption

Linked data applications (e.g., open government data, linked enterprise data)

Searching, querying, analyzing, and mining linked data

Reasoning with LD

Dataset description and discovery

User interfaces and user/social interactions for LD

Architecture and infrastructure

Provenance, privacy, and rights management

Assessing data quality and data trustworthiness

Dataset dynamics

Crawling

Scalability in the linked data cloud.

Federated querying

Caching

Update propagation

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Research Track:

Processes, Services and Cloud Computing

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. Topics of interest include (but are not limited to):

Semantic description of business services and processes

Semantics for service governance and sciences

Linked data services coordination and tools

Semantic services for cloud management and interoperability

Trusted, privacy preserving and secure semantic cloud services and processes

Semantic service discovery and selection

Semantic service composition

Semantics for ad-hoc data, service and process mashups

Semantics for service negotiation

Scalable automation of the service life cycle

Case studies of semantic business service applications

Semantics and services for the 3D Web

Semantics for mobile services coordination

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Research Track:

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. In particular we invite contributions that will advance the state of the art in:

Multilinguality and the Semantic Web / Web of Data

Natural language generation in a Semantic Web context

Natural language interfaces for Semantic Web applications

NLP for ontology matching, merging, alignment

Ontology learning and knowledge acquisition from text

NLP for Linked Data generation and use

Question answering on the Semantic Web / Web of Data

Use of ontologies / Linked Data in NLP

Ontology-based text classification and clustering

The ontology-lexicon interface

Ontology localisation

NLP for semantic search

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Research Track:

Sensor and Mobile Web

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. In this track we invite approaches dealing with combining sensor networks and/or mobile devices and semantic technologies for the purpose of management, interpretation and analysis of the observed environment, users' movements, activities, or social interactions. Contributions are expected to cover a wide range of related topics such as (a) identification of simple events or event streams by joining sensor data with background knowledge, (b) identification of complex events composed from several atomic sensed events based on background knowledge, (c) filtering, management, and interpretation of sensor and mobile data using contextual models, (d) creation of actuators and applications based on sensor data and background knowledge. We invite high-quality submissions related to (but not limited to) one or more of the following topics:

Architectures and middleware for the semantic sensor and mobile web

Context- and location-aware applications based on semantic technologies

Data models and querying solutions for the semantic sensor and mobile web

In-network data processing and filtering techniques based on locality, contextual and semantic knowledge

Linked data and mashups on the sensor and mobile web

Ontologies and rules for semantic sensor and mobile web

Use cases and applications demonstrating the use of semantic technologies for sensor and mobile web

Provenance of semantic data on the sensor and mobile web

Scalability and performance of semantic technologies on sensor and mobile web

Semantic data integration and fusion of heterogeneous sensor network data streams

Semantic interpretation of mobile sensor streams and moving objects

Semantic-based security, privacy and trust in mobile devices and applications

Spatio-temporal aspects of semantic sensor networks

Visualization and user interfaces for semantic sensor and mobile web

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Research Track:

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. We invite high quality contributions from all areas of research that address the emerging data challenges.

Extraction and augmentation of ontological knowledge from (linked) data using statistical and inductive methods

Statistical machine learning in Linked Data

Inductive methods for ontology construction

Machine learning for ontology matching, instance matching, search and retrieval

Link prediction and recommendation engines

Machine learning method for handling uncertain knowledge

Approximate inductive reasoning on ontologies

Semi-supervised and unbalanced learning for approximate concept retrieval, query answering

Data mining and knowledge discovery in Linked data and ontologies

OWA vs. CWA in learning

Evaluation of machine learning methods in the SW context

Ontology mining (concept change and novelty detection for ontology evolution, inductive aggregation etc.)

Inductive Logic Programming approaches

Deep learning for ontology learning and ontology refinement

Machine learning methods for Semantic Web mining (social network analysis, link prediction, ranking methods, kernels for the Semantic Web and for and Linked Data, etc. )

Instance-based learning for structured representations

Relational learning and Markov logic

Machine learning applications

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Special Track:

Digital Libraries and Cultural Heritage Track

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. Particular topics of relevance are:

DL/CH requirements for semantic technologies

Core ontologies and community-specific extensions, application profiles

Adequacy of metadata, schemata and ontologies to applications (e.g., answering research questions)

Deductions from complex data paths in semantic metadata relationships, such as detecting co-author clusters

Inferences between collection-level and item-level metadata ? from wholes to parts and vice-versa

Querying of an ‘Open World’ of incomplete metadata

Metadata transformation and enrichment

Metadata integration and sharing

Authenticity, digital provenance and digital rights management, long-term preservation

Automatic or manual community-driven detection of co-reference to people, places, events, things

Applications of Linked Data in Libraries, Archives, Museums

Methodological contributions: best practices/lessons learnt for applying SW / Linked Data to large DLs

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Special Track:

EGovernment: Using Semantics for Promoting Interoperability in the Public Sector

Public administration is considered the heaviest service industry as well as the most important information provider even in countries with relatively small public sectors. It is also a highly distributed "business", with hundreds or even thousands of different entities providing services and data to other public agencies, businesses and citizens. In this environment, promoting interoperability amongst all these various actors is considered vital for improving responsiveness, efficiency and reducing costs. The European Interoperability Framework introduced four layers of interoperability, technical, semantic, organizational and legal. With the current advancement and the availability of off-the-shelf solutions for addressing technical interoperability issues, the focus has been shifted to semantic interoperability, a layer that has recently received much attention by both researchers and practitioners. The special track focuses on contributions related to this specific interoperability layer. An indicative list of topics follows below:

Definitions, models and theory on semantic interoperability for eGovernment systems

Requirements, and challenges for semantic interoperability in eGovernment

Metadata standards, ontologies and vocabularies for eGovernment

Examples and experiences from national, regional, local projects and strategies to promote semantic interoperability

Linked Open Government Data

Semantic SOAs for eGovernment

Semantics and Social Software for eGovernment

Government 2.0 and semantics

Semantics in eParticipation and eConsultation

Interoperability maturity models and approaches

All information on the ESWC conference series and past conferences can be found at http://2012.eswc-conferences.org.