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User Interests Modeling Based on Multi-source Personal Information Fusion and Semantic Reasoning
[chapter]
2011
Lecture Notes in Computer Science
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In this paper, we propose an approach of user interest modeling based on multi-source personal information fusion and semantic reasoning. ...
Semantic relatedness among interests are also briefly illustrated for information fusion. ...
The Framework of Multi-source Personal Information Fusion for User Interests Modeling
The Workflow of Multi-source User Interests Modeling User interests are distributed in different Web-based systems ...
doi:10.1007/978-3-642-23620-4_23
fatcat:56wnevchr5fglobcdmy4n3bfoy
User interests driven web personalization based on multiple social networks
2012
Proceedings of the 4th International Workshop on Web Intelligence & Communities - WI&C '12
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The semantic Web gets huge data from these Social Web platforms. Yi Zeng, Xu Ren, and Ning Zhong. User Interest Modeling Based on Multi-source Personal Information Fusion and Semantic Reasoning. ...
User Interests Driven Web Personalization Based on Multiple Social Networks. ...
AAVRA: Generating Levels of Recommendation g Interpretations on different groups of data from SWDF and Twitter (3) , Jacopo Urbani (3) , Eyal Oren (2) , 0 0 Spy os o ou as (3) , Jacopo U ba (3) ...
doi:10.1145/2189736.2189749
dblp:conf/www/ZengZRW12
fatcat:t5vi7onb7nfe3chl4ka3lny3ti
Global Multi-Source Information Fusion Management and Deep Learning Optimization for Tourism
2022
Journal of Organizational and End User Computing
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The semantic and emotional information in the comment text is extracted to identify user preferences, and the score of interest points in the target location is predicted combined with the influence factors ...
Then, the interest point recommendation framework based on convolutional neural network (IPRC) is established. ...
Based on the recommendation of interest points, the research on global multi-source information fusion management and deep learning optimization for tourism personalized LBS is conducted. ...
doi:10.4018/joeuc.294902
fatcat:o5dym52ibrhfvgdsoiruz3efy4
Semantic fusion of live Web content: System design and implementation experiences
2013
2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)
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between Web resources of interest and end-user search applications. ...
Semantic data fusion techniques have the potential to provide a more suitable abstraction model for efficient search on this type of data. ...
We would also like to thank Albert Blarer, Marc Lieber and Andreas Mengel from Trivadis for the fruitful discussions and valuable feedback on the topics of semantic Web technologies and natural language ...
doi:10.1109/sdf.2013.6698256
dblp:conf/sdf/Lenders13
fatcat:o4553efhojawbnbj53hucoh4ym
A Novel Retrieval Method for Multimodal Point of Interest Data
2014
International Journal of Multimedia and Ubiquitous Engineering
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Point of interest (POI) is the core content of mobile geographic information service, and it exhibits the properties of multi-source, heterogeneity and media convergence under the circumstance of multiple ...
At the same time, users' retrieval demand is becoming complicated and personalized. ...
of Chongqing University of Posts and Telecommunications (A2012-34). ...
doi:10.14257/ijmue.2014.9.7.24
fatcat:eocdfx7trbdtfcb3qoowpfdlyu
mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification
2017
Sensors
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This work explicitly focuses on key challenges linked to multi-level context modeling, reasoning and fusioning based on the mlCAF open-source ontology. ...
; (2) functional framework for administering the Web Ontology Language (OWL) reasoning paradigm comprising of constraint-based rules (real-time) and Semantic Query-Enhanced Web Rule Language (SQWRL) based ...
It supports information sensing, semantic representation, and reasoning of context using SOCAM ontology by modeling person, activities along with locations leaving out nutrition contextual aspects. ...
doi:10.3390/s17102433
pmid:29064459
pmcid:PMC5677224
fatcat:cg6wooyl6rbb7hwzh4zxlprvui
Survey of Knowledge Graph Approaches and Applications
2020
Journal on Artificial Intelligence
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The knowledge base with semantic processing capability and open interconnection ability can be used to generate application value in intelligent information services such as intelligent search, intelligent ...
question answering and personalized recommendation. ...
For this purpose, the knowledge reasoning technology, the future research direction is mainly oriented to multiple relations of knowledge reasoning, multi-source information fusion and a variety of methods ...
doi:10.32604/jai.2020.09968
fatcat:yvggvqhexze43jyomytsf7kfr4
Personalization in multimedia retrieval: A survey
2010
Multimedia tools and applications
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This paper will present some current models and techniques being researched to model ontology, preference, context, and presentation and bring them together in a chain of ideas that leads from raw uninformed ...
data to an actual usable user interface that adapts with user preference and customization. ...
the whole FACS consortium for excellent suggestions and discussions. ...
doi:10.1007/s11042-010-0621-0
fatcat:lopdnnydibfbtowpl2bicoswye
Description Logics and Rules for Multimodal Situational Awareness in Healthcare
[chapter]
2016
Lecture Notes in Computer Science
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The framework has been applied in the eminent field of healthcare, providing the models for the semantic enrichment and fusion of verbal and non-verbal descriptors in dialogue-based systems. ...
facto standard formalism of DL models on the Web, fostering reusability, adaptability and interoperability of the framework. ...
This work has been partially supported by the H2020-645012 project "KRISTINA: A Knowledge-Based Information Agent with Social Competence and Human Interaction Capabilities". ...
doi:10.1007/978-3-319-51811-4_58
fatcat:h7w4gtciabd6xjhdoimvdgwwdq
A multimedia information fusion framework for web image categorization
2012
Multimedia tools and applications
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In this paper, we improve our previously reported two multi-view classification approaches-(Dynamic Weighting and Region-based Semantic Concept Integration) for categorizing the images under the "supervision ...
Previous approaches on image categorization focus on either adopting text or image features, or simply combining these two types of information together. ...
Acknowledgements This work is partially supported by the Army Research Office under grant number W911NF-10-1-0366, the National Natural Science Foundation of China under Grant No.61175011, and the China ...
doi:10.1007/s11042-012-1165-2
fatcat:xw7k6jvep5dohl4flwyoeqfu3i
Context Representation and Fusion: Advancements and Opportunities
2014
Sensors
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Context representation and fusion facilitate in recognizing the dependency/relationship of one data source on another to extract a better understanding of user context. ...
Making user context information available to such systems is the center of attention. ...
[28] Google calendar, location, Bayesian analysis, areas of interest, personal vocabulary, personal information, information about friends and colleagues Sathyanarayana et al. ...
doi:10.3390/s140609628
pmid:24887042
pmcid:PMC4118369
fatcat:mrbwbfcus5a6tjfxxh4mku7hzu
A Self-Referential Perceptual Inference Framework for Video Interpretation
[chapter]
2003
Lecture Notes in Computer Science
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This paper presents an extensible architectural model for general content-based analysis and indexing of video data which can be customised for a given problem domain. ...
of entities, relationships, and events of interest occurring in a video sequence. ...
The authors would like to acknowledge directional guidance and support from AT&T Laboratories and the Cambridge University Laboratory for Communications Engineering. ...
doi:10.1007/3-540-36592-3_6
fatcat:4bgk6fhapfdwfcmjaj2s66c7uu
Survey of Context Information Fusion for Sensor Networks based Ubiquitous Systems
[article]
2013
arXiv
pre-print
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In this paper we try and explore different context information fusion techniques by comparing a large number of solutions, their methods, architectures and models. ...
Adopting appropriate information fusion techniques can help in screening noisy measurements, control data in the network and take necessary inferences that can help in contextual computing. ...
Acknowledgments The authors would like to thank Almighty God, our families and Prof R. ...
arXiv:1309.0598v1
fatcat:g63i27ldhnfmpc7nlszuvumqve
Mudra
2011
Proceedings of the 13th international conference on multimodal interfaces - ICMI '11
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Existing multimodal fusion engines and frameworks range from low-level data stream-oriented approaches to high-level semantic inference-based solutions. ...
Our solution is based on a central fact base in combination with a declarative rule-based language to derive new facts at different abstraction levels. ...
Bruno Dumas is supported by MobiCraNT, a project forming part of the Strategic Platforms programme by the Brussels Institute for Research and Innovation (Innoviris). ...
doi:10.1145/2070481.2070500
dblp:conf/icmi/HosteDS11
fatcat:tlk5voohmzcsthdhky5osi76te
Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems
2016
Open Computer Science
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In this paper we try and explore different context information fusion techniques by comparing a large number of solutions, their methods, architectures and models. ...
Adopting appropriate information fusion techniques can help in screening noisy measurements, control data in the network and take necessary inferences that can help in contextual computing. ...
In context Role-based models information fusion systems can be modeled and designed based on the fusion roles and the relationships among them. ...
doi:10.1515/comp-2016-0003
fatcat:gxyqpdmpdbetpey3ufrzoe4l6y
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