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User Interests Modeling Based on Multi-source Personal Information Fusion and Semantic Reasoning [chapter]

Yunfei Ma, Yi Zeng, Xu Ren, Ning Zhong
2011 Lecture Notes in Computer Science  
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

Yi Zeng, Ning Zhong, Xu Ren, Yan Wang
2012 Proceedings of the 4th International Workshop on Web Intelligence & Communities - WI&C '12  
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

Xue Yu
2022 Journal of Organizational and End User Computing  
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

Vincent Lenders
2013 2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)  
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

Ying Xia, Shiyan Luo, Xu Zhang, Hae Young Bae
2014 International Journal of Multimedia and Ubiquitous Engineering  
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

Muhammad Razzaq, Claudia Villalonga, Sungyoung Lee, Usman Akhtar, Maqbool Ali, Eun-Soo Kim, Asad Khattak, Hyonwoo Seung, Taeho Hur, Jaehun Bang, Dohyeong Kim, Wajahat Ali Khan
2017 Sensors  
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

Hangjun Zhou, Tingting Shen, Xinglian Liu, Yurong Zhang, Peng Guo, Jianjun Zhang
2020 Journal on Artificial Intelligence  
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

Yijuan Lu, Nicu Sebe, Ross Hytnen, Qi Tian
2010 Multimedia tools and applications  
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]

Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris
2016 Lecture Notes in Computer Science  
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

Wenting Lu, Lei Li, Jingxuan Li, Tao Li, Honggang Zhang, Jun Guo
2012 Multimedia tools and applications  
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

Asad Khattak, Noman Akbar, Mohammad Aazam, Taqdir Ali, Adil Khan, Seokhee Jeon, Myunggwon Hwang, Sungyoung Lee
2014 Sensors  
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]

Christopher Town, David Sinclair
2003 Lecture Notes in Computer Science  
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]

Vijay Borges, Wilson Jeberson
2013 arXiv   pre-print
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

Lode Hoste, Bruno Dumas, Beat Signer
2011 Proceedings of the 13th international conference on multimodal interfaces - ICMI '11  
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

Vijay Borges
2016 Open Computer Science  
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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