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ISEM 2013 - 9th International Conference on Semantic Systems

Date2013-09-04 - 2013-09-06

Deadline2013-04-01

VenueGraz, Austria Austria

Keywords

Websitehttps://i-semantics.tugraz.at/

Topics/Call fo Papers

As a conference aiming to bring together science and industry, I-SEMANTICS encourages scientific research and application-oriented contributions in the field of Semantic Technologies, Semantic Web and Linked Data. The topics of interest for Research and Application Papers include (but are not limited to)As a conference aiming to bring together science and industry, I-SEMANTICS encourages scientific research and application-oriented contributions in the field of Semantic Technologies, Semantic Web and Linked Data. The topics of interest for this year’s conference include but are not limited to:
The Web of Data
Large scale triplification and processing of data
Vocabularies, taxonomies and schemas for the web of data
Querying, searching and browsing over the web of data
Data integration and interlinking for the web of data
Location-based services and mobile semantic applications
User interaction and innovative visualizations for the web of data
Reasoning over the web of data
(Mashup) applications utilizing (large scale) linked data resources
Recommender systems making use of the web of data
Integrating microposts into the web of data
Linked enterprise data and (open) linked government data
Linked sensor data and machine-to-machine communication
Quality of Semantic Data on the Web
Provenance information for the web of data
Large scale ontology inspection, maintenance and repair
Co-reference detection and dataset reconciliation
Quality analysis and metrics for the web of data
Trust, privacy and security in semantic web applications
Corporate Semantic Web
Corporate thesauri, business vocabularies, ontologies and rules
Semantic business, e-commerce and m-commerce systems
Semantic procurement for enterprises and governments
Semantics, pragmatics and semiotics in organizations
Enterprise trust and reputation management
Organisational issues in the deployment and application of semantic technologies
Social Semantic Web
Enriching social web data and information with semantics and linked data
Semantically-enabled social platforms and applications
Users as virtual and physical sensors and devices for a ubiquitous social semantic web
Semantic based personalization, as e.g. for recommendations, social navigation, collaborative search, social filtering, etc
Reality augmented by the social semantic web
Querying, mining and analysis of social semantic web data and dynamics
Representing and reasoning with uncertainty, provenance, trust in social web data
Ethical issues related to the use of user generated content & linked data
Semantic Content Engineering
Collaborative ontology engineering
Ontology modularity, alignment and merging
Ontology design patterns and life cycle management
Ontology learning and knowledge acquisition
Semantic annotation and tagging
Making sense of microposts
Semantic content management systems
Semantic Multimedia
Semantic-driven multimedia applications
Multimedia ontologies and infrastructures
Content-based semantic multimedia analysis and data mining
Semantic-driven multimedia indexing and retrieval
Named entity recognition and disambiguation in multimedia documents
Human-computer interfaces and visualization for multimedia data access
Studies, Metrics & Benchmarks
Case studies of and benchmarks in semantic systems usage
Evaluation perspectives, methods and semantic web research methodologies
Technology assessment and acceptance/reactance research
Usability and user interaction with semantic technologies
Case studies with clear lessons learned or evaluations
Data Ecosystems & Markets
Economic foundations of data assets, markets and data crowd sourcing
Business and governance models for data commerce
Production principles and measures of data creation, curation and utilization
Business models and economic impacts of Linked (Enterprise) Data and/or large scale semantic systems
Case studies for sector-specific data strategies

Last modified: 2012-12-01 22:43:49