eKNOW 2016, The Eighth International Conference on Information, Process, and Knowledge Management

============== eKNOW 2016 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

eKNOW 2016, The Eighth International Conference on Information, Process, and Knowledge Management

General page: http://www.iaria.org/conferences2016/eKNOW16.html

Submission page: http://www.iaria.org/conferences2016/SubmiteKNOW16.html

Event schedule: April 24 – 28, 2016 – Venice, Italy

Contributions:

– regular papers [in the proceedings, digital library]

– short papers (work in progress) [in the proceedings, digital library]

– ideas: two pages [in the proceedings, digital library]

– extended abstracts: two pages [in the proceedings, digital library]

– posters: two pages [in the proceedings, digital library]

– posters:  slide only [slide-deck posted at www.iaria.org]

– presentations: slide only [slide-deck posted at www.iaria.org]

– demos: two pages [posted at www.iaria.org]

– doctoral forum submissions: [in the proceedings, digital library]

Proposals for:

– mini symposia: see http://www.iaria.org/symposium.html

– workshops: see http://www.iaria.org/workshop.html

– tutorials:  [slide-deck posed on www.iaria.org]

– panels: [slide-deck posed on www.iaria.org]

Submission deadline: December 8, 2015

Sponsored by IARIA, www.iaria.org

Extended versions of selected papers will be published in IARIA Journals:  http://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html

eKNOW 2016 Topics (for topics and submission details: see CfP on the site)

Call for Papers: http://www.iaria.org/conferences2016/CfPeKNOW16.html

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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.

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; see details

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

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eKNOW 2016 Committee: http://www.iaria.org/conferences2016/ComeKNOW16.html

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