日本データベース学会MLの皆様
滋賀県立大学の服部です。
セマンティック処理に関する国際会議 SEMAPRO2024 のCFPです。
今年9月末に、イタリア・ヴェニスで開催されます。
論文投稿締切は 2024年 6月 17日 です。
多様な発表（投稿）形式が用意されております。
ジャーナルへの推薦も御座いますので、
皆様の御投稿をお待ちしております。
どうぞ宜しくお願い致します。
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Invitation:
Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:
SEMAPRO 2024, The Eighteenth International Conference on Advances in Semantic Processing
SEMAPRO 2024 is scheduled to be September 29 - October 03, 2024 in Venice, Italy under the NexTech 2024 umbrella.
Submission (full paper) deadline: June 17, 2024
Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals.
All events will be held in a hybrid mode: on site, prerecorded videos, voiced presentation slides, pdf slides.
Call for Papers:
https://www.iaria.org/conferences2024/CfPSEMAPRO24.html
Committee:
https://www.iaria.org/conferences2024/ComSEMAPRO24.html
Submission page:
https://www.iaria.org/conferences2024/SubmitSEMAPRO24.html
Contribution formats:
regular papers [in the proceedings and digital library]
short papers (work in progress) [in the proceedings and digital library]
ideas: two pages [in the proceedings and digital library]
extended abstracts: two pages [in the proceedings and digital library]
posters: two pages [in the proceedings and digital library]
posters: slide only [slide-deck posted on www.iaria.org]
presentations: slide only [slide-deck posted on www.iaria.org]
demos: two pages [posted on www.iaria.org]
Extended versions of selected papers will be published in IARIA Journals.
Print proceedings will be available via Curran Associates, Inc.
Articles will be archived in the free access ThinkMind Digital Library.
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 Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.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. Before submission, please check and comply with the Editorial Rules.
SEMAPRO 2024 Tracks:
Basics on semantics
Fundamental of semantics processing; Semantic-based techniques for feature selection; Semantic-based pruning; Semantic interoperability; Semantics uncertainty; Semantics pre-processing and post-processing; Semantics harmonization; Constraint-based semantics processing; Embedded semantics into the discovery process; Semantics in spatial and spatio-temporal models
Ontology fundamentals for semantic processing
Ontology learning; Ontology for semantic interoperability; Ontologies and data pre-processing; Ontology-based evaluation and semantic patterns; Global core ontologies; Progressive ontologies; Bridging semantics through ontologies; Ontology mapping and ontology visualization; Ontology in information systems; Ontology-based semantic mediation; Ontology design and maintenance for conceptual model integration; Reverse engineering of ontologies from conceptual model; Ontologies for explanation generation
Semantic technologies
Basics of Ontology and Semantic Web; Semantic storing, computing, representation, communications; Semantic-driven system design; Syntactic and semantic processing models; Hardware and software support for semantic processing; Microprocessors for semantic processing; Multi-model semantic systems; Semantic annotation of multimedia supports; Semantic multimedia information retrieval; Natural language semantic processing; Context-based semantic processing; Content-based semantic processing; Scalability to the Web level; Performance in semantic processing; Information security in semantic processing; Explaining semantic processing and its results
Models and ontology-based design of protocols, architectures and services
Fundamentals in theory; Modeling methodologies; Models and Ontology-driven Technologies (for the communications system design); Models and ontology relationships; Multi-models coherence. Models and ontology-based communications services and protocols; Semantics of services and service modeling; Protocol models and semantics; Application and quality of experience semantics; Services and protocols semantics; Models and ontology-based cross-layer services and architectures design; Models and ontology-based software frameworks; Composition of Services and Composability rules; Cross-layering services models, components and implementations
Semantic Deep Web
Ontology plug-in search; Information extraction from the Deep Web /e-commerce sites/; Semantic Deep Web annotation and indexing; Deep Web-based ontology; 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; Measurements for quality of search; Tools for semantic Deep Web; Experience extraction from the Web
Semantic reasoning
Reasoning methods; Reasoning for the Web; Ontology expressiveness; Ontology alignment, mapping and merging; Expressing formal semantics; Languages (RDF, RDF Schema, OWL, etc); Robustness of reasoning on the Web; Patterns on semantic reasoning; Querying and searching; Scalable and tolerant reasoning; Dynamic reasoning for the Semantic Web; Ontologies and problem-solving methods; Computational learning theory; Approximate reasoning/computing; Strategies for abstraction and compression of information; Cognitive semantic reasoning; Attention semantic scoping; Recency-based self-optimizing memory; Cost-benefit trade-off reasoning models; Negotiation in obtaining near-optimal reasoning results under bounded resources; Case-based reasoning
Semantic content searching
Methodologies for innovative information retrieval technologies; Combinatorial search; Massive search-spaces with heuristics (e.g., based on Monte Carlo simulations); Searching using metadata, semantics, and ontology; Advanced searching in digital libraries; Advanced use of RDF and OWL; Expressiveness of the content ontologies; Inherent inconsistency and incompleteness of data on the Web; Scalability of semantic processing; Specialized search engines (Hakia, Matrixware and seekda)
Hypertext and hypermedia semantic
Hypertext techniques and semantic applications; Hypertext and ontologies; Hypertext semantic models; Spatial semantic hypertext; Self-organized hypertext; Semantic adaptive hypertext; Web and hypertext link analysis; Hypertexts and semantic Web; Hypertext semantic applications
Semantic voice-video-speech (VVS) searching
Engines and methods for VVS advanced searching; Patterns in VVS searching; Contextual VVS searching; Rapid VVS searching; Accuracy in VVS searching; Noise in VVS searching; Performance in VVS searching; Metrics for VVS searching; Text and VVS searching; Applications of VVS
Semantic multimedia
Efficient storage of structured data that scale to a very large size; Automatic generation of multimedia presentations; Advanced process for multimedia information mining; Semantic metadata extraction; Annotation tools and methods for content semantics; Media ontology generation/learning/reasoning; Semantic multimedia streaming; Semantics enabled multimedia applications /annotation/browsing/storage/retrieval/visualization
Semantic social media
Community detection and evolution in social media; Recommendation and ranking systems; Search in social media; Event detection, trend identification and tracking in social media; Influence, trust and reputation in social media; Opinion/sentiment analysis, polarity identification; Feed distillation and ranking blogs; Mining microblogging and real time data; Folksonomy, tag semantics, clustering and usage; Advertising models for the social web; Indexing social media content, index freshness; Visualizing social network data; Spam detection, social network spam and profile spam
Semantics for sentiment/opinion analysis
Architectures for generic sentiment analysis systems; Sentiment analysis techniques on social media; Document-level analysis; Sentence-level analysis; Aspect-based analysis; Comparative-sentiment analysis; Sentiment lexicon acquisition; Optimizing sentiment analysis algorithms; Applications of sentiment analysis
Semantic networking
Semantic-based QoS (Quality of Service) control and scheduling; Semantic QoE (Quality of Experience) evaluation; Semantic-based Internet data streaming and delivery; Semantics enabled networking and middleware; Semantic routing; Semantic interfaces
Domain-oriented semantic applications
Semantics for managing pharmaceutical data; Semantic processing for biomedical knowledge; Speech, text and picture recognition; Semantic email workflow and content; Semantic blogs and wikis; Semantic email addressing; Semantic web and digital libraries; Semantic processing in e-Health; Semantic-driven tutoring systems
Economics and governance of semantics technologies
Organizational views; Legal; Business; Regulations; Assessment; Standards; Harmonization; Cross-nation mediation
Semantic applications/platforms/tools
Market for semantic technologies; Applications, services and systems based on semantic processing; User friendly semantic system integration tools; Ontology-based data transformation and data migration tools; Ontology mapping tools and languages; Ontology-enabled interoperability in e-science, life sciences, e-business, culture; Commercial cost models for semantic applications; Semantic solutions for business intelligence; Semantic processing platforms ; Supporting ontology platforms/tools (Protégé, etc); Semantic query languages (SPARQL, etc); Ontology-enabled search engines; Semantic Web search engines; Interoperability of data, systems, and organizations; Experiments and lessons learned; Standard activities
Publicity Chairs:
Laura Garcia, Universidad Politécnica de Cartagena, Spain
Lorena Parra Boronat, Universitat Politecnica de Valencia, Spain
IARIA Publicity Board