Last Mile, April 18 || SEMAPRO 2014 || August 24 - 28, 2014 - Rome, Italy

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INVITATION:
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 Please consider to contribute to and/or forward to the appropriate group=
s the following opportunity to submit and publish original scientific res=
ults to SEMAPRO 2014
 The submission deadline is April 18, 2014.
 Authors of selected papers will be invited to submit extended article ve=
rsions to one of the IARIA Journals: http://www.iariajournals.org
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=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D SEMAPRO 2014 | Call for Papers=
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CALL FOR PAPERS, TUTORIALS, PANELS
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SEMAPRO 2014, The Eighth International Conference on Advances in Semantic=
 Processing
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August 24 - 28, 2014 - Rome, Italy
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General page: http://www.iaria.org/conferences2014/SEMAPRO14.html
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Call for Papers: http://www.iaria.org/conferences2014/CfPSEMAPRO14.html
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Submission page: http://www.iaria.org/conferences2014/SubmitSEMAPRO14.htm=
l
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Contributions:
 - regular papers
 - short papers (work in progress)
 - posters
 - ideas
 - presentations
 - demos
 - doctoral forum submissions
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Proposals for:
 - symposia
 - workshops
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Submission deadline: April 18, 2014
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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
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The topics suggested by the conference can be discussed in term of concep=
ts, state of the art, research, standards, implementations, running exper=
iments, applications, and industrial case studies. Authors are invited to=
 submit complete unpublished papers, which are not under review in any ot=
her conference or journal in the following, but not limited to, topic are=
as.
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All tracks are open to both research and industry contributions, in terms=
 of Regular papers, Posters, Work in progress, Technical/marketing/busine=
ss presentations, Demos, Tutorials, and Panels.
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Before submission, please check and conform with the Editorial rules: htt=
p://www.iaria.org/editorialrules.html
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SEMAPRO 2014 Topics (topics and submission details: see CfP on the site)
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Basics on semantics
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Fundamental of semantics processing; Semantic-based techniques for featur=
e selection; Semantic-based pruning; Semantic interoperability; Semantics=
 uncertainty; Semantics pre-processing and post-processing; Semantics har=
monization; Constraint-based semantics processing; Embedded semantics int=
o the discovery process; Semantics in spatial and spatio-temporal models
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Ontology fundamentals for semantic processing
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Ontology learning; Ontology for semantic interoperability; Ontologies and=
 data pre-processing; Ontology-based evaluation and semantic patterns; Gl=
obal core ontologies; Progressive ontologies; Bridging semantics through =
ontologies; Ontology mapping and ontology visualization; Ontology in info=
rmation systems; Ontology-based semantic mediation; Ontology design and m=
aintenance for conceptual model integration; Reverse engineering of ontol=
ogies from conceptual model; Ontologies for explanation generation
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Semantic technologies
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Basics of Ontology and Semantic Web; Semantic storing, computing, represe=
ntation, communications; Semantic-driven system design; Syntactic and sem=
antic processing models; Hardware and software support for semantic proce=
ssing; Microprocessors for semantic processing; Multi-model semantic syst=
ems; Semantic annotation of multimedia supports; Semantic multimedia info=
rmation retrieval; Natural language semantic processing; Context-based se=
mantic processing; Content-based semantic processing; Scalability to the =
Web level; Performance in semantic processing; Information security in se=
mantic processing; Explaining semantic processing and its results
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Models and ontology-based design of protocols, architectures and services
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Fundamentals in theory; Modeling methodologies; Models and Ontology-drive=
n Technologies (for the communications system design); Models and ontolog=
y relationships; Multi-models coherence. Models and ontology-based commun=
ications services and protocols; Semantics of services and service modeli=
ng; Protocol models and semantics; Application and quality of experience =
semantics; Services and protocols semantics; Models and ontology-based cr=
oss-layer services and architectures design; Models and ontology-based so=
ftware frameworks; Composition of Services and Composability rules; Cross=
-layering services models, components and implementations
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Semantic Deep Web
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Ontology plug-in search; Information extraction from the Deep Web /e-comm=
erce sites/; Semantic Deep Web annotation and indexing; Deep Web-based on=
tology; Semantic Deep Web crawlers; Semantic browsing and visualization; =
Semantic Deep Web data fusion; Semiautomatic ontology generation; Metrics=
 for quality of ontology; Similarity measures for ontology alignment; Mea=
surements for quality of search; Tools for semantic Deep Web; Experience =
extraction from the Web
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Semantic reasoning
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Reasoning methods; Reasoning for the Web; Ontology expressiveness; Ontolo=
gy alignment, mapping and merging; Expressing formal semantics; Languages=
 (RDF, RDF Schema, OWL, etc); Robustness of reasoning on the Web; Pattern=
s on semantic reasoning; Querying and searching; Scalable and tolerant re=
asoning; Dynamic reasoning for the Semantic Web; Ontologies and problem-s=
olving methods; Computational learning theory; Approximate reasoning/comp=
uting; Strategies for abstraction and compression of information; Cogniti=
ve semantic reasoning; Attention semantic scoping; Recency-based self-opt=
imizing memory; Cost-benefit trade-off reasoning models; Negotiation in o=
btaining near-optimal reasoning results under bounded resources; Case-bas=
ed reasoning
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Semantic content searching
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Methodologies for innovative information retrieval technologies; Combinat=
orial search; Massive search-spaces with heuristics (e.g., based on Monte=
 Carlo simulations); Searching using metadata, semantics, and ontology; A=
dvanced searching in digital libraries; Advanced use of RDF and OWL; Expr=
essiveness of the content ontologies; Inherent inconsistency and incomple=
teness of data on the Web; Scalability of semantic processing; Specialize=
d search engines (Hakia, Matrixware and seekda)
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Hypertext and hypermedia semantic
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Hypertext techniques and semantic applications; Hypertext and ontologies;=
 Hypertext semantic models; Spatial semantic hypertext; Self-organized hy=
pertext; Semantic adaptive hypertext; Web and hypertext link analysis; Hy=
pertexts and semantic Web; Hypertext semantic applications
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Semantic voice-video-speech (VVS) searching
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Engines and methods for VVS advanced searching; Patterns in VVS searching=
; Contextual VVS searching; Rapid VVS searching; Accuracy in VVS searchin=
g; Noise in VVS searching; Performance in VVS searching; Metrics for VVS =
searching; Text and VVS searching; Applications of VVS
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Semantic multimedia
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Efficient storage of structured data that scale to a very large size; Aut=
omatic generation of multimedia presentations; Advanced process for multi=
media information mining; Semantic metadata extraction; Annotation tools =
and methods for content semantics; Media ontology generation/learning/rea=
soning; Semantic multimedia streaming; Semantics enabled multimedia appli=
cations /annotation/browsing/storage/retrieval/visualization
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Semantic social media
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Community detection and evolution in social media; Recommendation and ran=
king systems; Search in social media; Event detection, trend identificati=
on and tracking in social media; Influence, trust and reputation in socia=
l media; Opinion/sentiment analysis, polarity identification; Feed distil=
lation and ranking blogs; Mining microblogging and real time data; Folkso=
nomy, tag semantics, clustering and usage; Advertising models for the soc=
ial web; Indexing social media content, index freshness; Visualizing soci=
al network data; Spam detection, social network spam and profile spam
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Semantics for sentiment/opinion analysis
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Architectures for generic sentiment analysis systems; Sentiment analysis =
techniques on social media; Document-level analysis; Sentence-level analy=
sis; Aspect-based analysis; Comparative-sentiment analysis; Sentiment lex=
icon acquisition; Optimizing sentiment analysis algorithms; Applications =
of sentiment analysis
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Semantic networking
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Semantic-based QoS (Quality of Service) control and scheduling; Semantic =
QoE (Quality of Experience) evaluation; Semantic-based Internet data stre=
aming and delivery; Semantics enabled networking and middleware; Semantic=
 routing; Semantic interfaces
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Domain-oriented semantic applications
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Semantics for managing pharmaceutical data; Semantic processing for biome=
dical knowledge; Speech, text and picture recognition; Semantic email wor=
kflow and content; Semantic blogs and wikis; Semantic email addressing; S=
emantic web and digital libraries; Semantic processing in e-Health; Seman=
tic-driven tutoring systems
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Economics and governance of semantics technologies
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Organizational views; Legal; Business; Regulations; Assessment; Standards=
; Harmonization; Cross-nation mediation
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Semantic applications/platforms/tools
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Market for semantic technologies; Applications, services and systems base=
d on semantic processing; User friendly semantic system integration tools=
; Ontology-based data transformation and data migration tools; Ontology m=
apping tools and languages; Ontology-enabled interoperability in e-scienc=
e, life sciences, e-business, culture; Commercial cost models for semanti=
c applications; Semantic solutions for business intelligence; Semantic pr=
ocessing platforms ; Supporting ontology platforms/tools (Prot=E9g=E9, et=
c); Semantic query languages (SPARQL, etc); Ontology-enabled search engin=
es; Semantic Web search engines; Interoperability of data, systems, and o=
rganizations; Experiments and lessons learned; Standard activities
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-----------------------
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Committee: http://www.iaria.org/conferences2014/ComSEMAPRO14.html
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SEMAPRO Advisory Chairs
 Wladyslaw Homenda, Warsaw University of Technology, Poland
 Bich-Lien Doan, SUPELEC, France
 Alexey Cheptsov, High Performance Computing Center Stuttgart (HLRS), Ger=
many
 Shu-Ching Chen, Florida International University, USA
 Sule Yildirim Yayilgan, Gj=F8vik University College, Norway
 Jesper Zedlitz, Christian-Albrechts-Universit=E4t Kiel, Germany
 Soon Ae Chun, City University of New York, USA
 Fabio Grandi, University of Bologna, Italy
 David A. Ostrowski, Ford Motor Company, USA
 Andrea Perego, European Commission - Joint Research Centre, Ispra, Italy
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SEMAPRO Industry/Research Liaison Chairs
 Riccardo Albertoni, IMATI-CNR-Genova, Italy
 Panos Alexopoulos, iSOCO S.A., Spain
 Sofia Athenikos, IPsoft, USA
 Isabel Azevedo, ISEP-IPP, Portugal
 Sam Chapman, The Floow Limited, UK
 Daniele Christen, Parsit Company, Italy
 Frithjof Dau, SAP Research Dresden, Germany
 Thierry Declerck, DFKI GmbH, Germany
 Alessio Gugliotta, Innova SpA, Italy
 Peter Haase, Fluid Operations, Germany
 Shun Hattori, Muroran Institute of Technology, Japan
 Xin He, Airinmar Ltd., UK
 Tracy Holloway King, eBay Inc., USA
 Lyndon J. B. Nixon, STI International, Austria
 Zolt=E1n Theisz, evopro Innovation LLC, Hungary
 Thorsten Liebig, derivo GmbH - Ulm, Germany
 Michael Mohler, Language Computer Corporation in Richardson, USA
 Michael Schmidt, fluid Operations AG, Germany
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SEMAPRO Publicity Chairs
 Felix Schiele, Reutlingen University, Germany
 Bernd Stadlhofer, University of Applied Sciences, Austria
 Ruben Costa, UNINOVA, Portugal
 Andreas Emrich, German Research Center for Artificial Intelligence (DFKI=
), Germany
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