The Ninth International Conference on Information, Process, and Knowledge Management

(eKNOW 2017)

March 19 - 23, 2017

Nice, France

Call for Papers

The variety of the systems and applications and the heterogeneous nature of information and knowledge representation require special technologies to capture, manage, store, preserve, interpret and deliver the content and documents related to a particular target.Progress in cognitive science, knowledge acquisition, representation, and processing helped to deal with imprecise, uncertain or incomplete information. Management of geographical and temporal information becomes a challenge, in terms of volume, speed, semantic, decision, and delivery. Information technologies allow optimization in searching an interpreting data, yet special constraints imposed by the digital society require on-demand, ethics, and legal aspects, as well as user privacy and safety.Nowadays, there is notable progress in designing and deploying information and organizational management systems, experts systems, tutoring systems, decision support systems, and in general, industrial systems.

Topics of Interest

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to

Knowledge fundamentals Knowledge acquisition, processing, and management Linguistic knowledge representation Knowledge modeling and virtualization Types of knowledge: structural, behavioral, relationships, etc. Knowledge representation: visual-picture, connectionist model, semi-structured [a la workflow], structured/formal Knowledge acquisition status: potential new knowledge, guessed semantics, confirmed semantics, auditing confirmed semantics, etc. Knowledge update: probable insertion, validated insertion, auditing the insertion periodically based on new knowledge, etc.

Trends on annotation and extraction Natural Languages-based features and systems Annotation handling (multilingual, semantic, shared, open, prosody, etc.) Annotation as a Service (AaaS) Handling argument-based knowledge Event-based knowledge Tagging and supertagging Extraction patterns Uncertain reasoning Visual error analysis Domain-specific paraphrase extraction Tweets and sentence compression Role labeling semantic Heterogeneous annotations

Trends on news and social media New events-based knowledge In-context news creation Superlative expressions News highlights generation systems News special summarization systems (e.g, for blind and/or visually impaired people) Sentiment classification (emotion, irony, sarcasm, rhetorical questions, opinion, etc.) Rumor dynamics and social media Contextual pragmatic models Social prediction Prediction semantic analysis Predictability of distrust Aspect-based sentiment analysis Argument generation systems Relevance of citation recommendation Retrieval bias and retrieval performance High-speed captioning images Language models for images

Trends on knowledge processing support and mechanisms Open knowledge bases Structured knowledge bases Big knowledge applications Linked knowledge objects Knowledge datasets Machine translation systems Convolution neural networks Hybrid representations and equivalent semantics Processing bilingual information Topic trends and temporal signatures Cross-view features Pattern-based knowledge Ranking optimization in context Concept-based classification and ranking

Knowledge identification and discovery Mining for knowledge Knowledge identification: semantic-ID, etc. Knowledge discovery: how to express knowledge requests?, how to find knowledge?, etc. Knowledge refinement: after many acquisitions, former knowledge can change semantically or structurally, etc. Knowledge clustering

Knowledge management systems Knowledge data systems Industrial systems Context-aware and self-management systems Imprecision/Uncertainty/Incompleteness in databases Cognitive science and knowledge agent-based systems Databases and mobility in databases Zero-knowledge systems Expert systems Tutoring systems Digital libraries

Knowledge management (KM) and event processing (EP) Methodologies and approaches to overcome technical hurdles and improve the interplay between KM and EP Applications from various domains (e.g. financial, manufacturing, trading, telecommunication, service), which benefit from an integrated KM and EP

Knowledge semantics processing and ontology Dynamic knowledge ontology; Collaborative knowledge ontology Knowledge matching Contextual reasoning Tools for knowledge ontology Context-based information extraction Knowledge trading systems Knowledge exchange portals; Cognitive sytems and knowledge processing Human aspects in knowledge processing

Technological foresight and socio-economic evolution modelling Anticipatory networks and decisions Expert information management Foresight support systems Generating technological recommendations and rankings Information society evolution Online and real-time Delphi Ontological knowledge bases of technologies and products Roadmapping support systems Strategic support systems Technological information fusion Technological policy decision support systems

Process analysis and modeling Analysis and development of business architectures Data mining and information retrieval for business processes Business process modelling Business process composition Analysis and management lifecycle Reasoning on business processes Optimization of business processes Adaptive business processes Business process reengineering Integration of processes Process discovery Business process quality Resource allocation

Process management Criteria for measurement of business process models Monitoring business processes Business process visualization Management of business process integration On-demand business transformation Performance measurement Conformance and risk management Prediction Business transformation Packaged industry applications Industry solutions

Information management Informational mining/retrieval/classification Geographic and spatial data infrastructures Information technologies Information management systems Information ethics and legal evaluations Optimization and information technology Organizational information systems

Decision support systems Multi-criteria decision theory Artificial intelligence Adaptive design for decision support systems Support technologies: knowledge-driven, data-driven, model-driven, and geographically-driven systems Support methods: artificial neural networks, fuzzy logic, and genetic/evolutionary algorithms Modeling, interfaces, and performance Applications using decision support systems

Important Dates

• Submission Deadline : November 1, 2016
• Notification Due: January 10, 2017
• Final Version Due : February 5, 2017

User Name : jerish
Posted 29-09-2016 on 11:41:14 AEDT

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