Filters








359,961 Hits in 5.4 sec

From data fusion to knowledge fusion

Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang
2014 Proceedings of the VLDB Endowment  
We adapt state-of-the-art data fusion techniques and apply them to a knowledge base with 1.6B unique knowledge triples extracted by 12 extractors from over 1B Web pages, which is three orders of magnitude  ...  The task of data fusion is to identify the true values of data items (e.g., the true date of birth for Tom Cruise) among multiple observed values drawn from different sources (e.g., Web sites) of varying  ...  APPLYING DATA FUSION METHODS TO KNOWLEDGE FUSION We apply existing data fusion (DF) methods to solve the knowledge fusion (KF) problem. In Section 4.1 we describe our adaptations.  ... 
doi:10.14778/2732951.2732962 fatcat:632i2vd2d5fs3khejxqb7pbw7e

From Data Fusion to Knowledge Fusion [article]

Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang
2015 arXiv   pre-print
We adapt state-of-the-art data fusion techniques and apply them to a knowledge base with 1.6B unique knowledge triples extracted by 12 extractors from over 1B Web pages, which is three orders of magnitude  ...  The task of data fusion is to identify the true values of data items (eg, the true date of birth for Tom Cruise) among multiple observed values drawn from different sources (eg, Web sites) of varying (  ...  APPLYING DATA FUSION METHODS TO KNOWLEDGE FUSION We apply existing data fusion (DF) methods to solve the knowledge fusion (KF) problem. In Section 4.1 we describe our adaptations.  ... 
arXiv:1503.00302v1 fatcat:3ln6k527k5axjo3xs4doo6ipfq

Semantic Knowledge Representations for Soft Data Fusion [chapter]

Claire Laudy
2011 Efficient Decision Support Systems - Practice and Challenges From Current to Future  
Soft Data Fusion Efficient Decision Support Systems -Practice and Challenges From Current to Future www.intechopen.com Semantic Knowledge Representations for Soft Data Fusion Efficient Decision  ...  Soft data 2.1 From data to information: an abstraction process In the domain of Artificial Intelligence (AI), data, information and knowledge are central notions.  ... 
doi:10.5772/17762 fatcat:k6dmtrhxenfudcp575c2ykgbee

From data to actionable knowledge and decision

K. Sycara, M. Lewis
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)  
Northrup Grumman are partnering in early-stage research to address issues in high-level information fusion, including intent inferencing and retasking of sensors and munitions.  ...  The most critical of those are information fusion and management at different levels, communication, planning and execution monitoring.  ...  Because we cannot gain access to timeslices of radio traffic, sensor signals, and computer messages from real operations we must generate such data in order to study higher levels of fusion.  ... 
doi:10.1109/icif.2002.1021206 fatcat:vlbiougq2rf4djx73pwpystrxm

A knowledge fusion pattern and its evolution processes in a decision support system

Jin Gou, Yu-Xiang Lei, Mei-Zhen Chen, Yi-Qiao Cai, Cheng Wang, Wei Luo
2018 Filomat  
Thus, this paper presents a three-layer, six-step knowledge fusion pattern from the perspective of interaction and the three procedures used to arrive at a decision.  ...  Inspired by management information systems, the DSS assists policy makers to reach a decision by man-machine interaction through data, models and knowledge.  ...  When data/information/knowledge are obtained from distributed knowledge sources, the input-layer fusion comes into play.  ... 
doi:10.2298/fil1805589g fatcat:ca2f3t6kkjayvmbp2xxpowtbhe

Research on an Agricultural Knowledge Fusion Method for Big Data

Nengfu Xie, Wensheng Wang, Bingxian Ma, Xuefu Zhang, Wei Sun, Fenglei Guo
2015 Data Science Journal  
the identification and fusion of new and existing data sets to make big data analytics more possible.  ...  data, and discover new knowledge.  ...  In this paper, we propose a generic agricultural knowledge fusion method to fuse information from diverse information sources, such that a more comprehensive basis can be obtained for data analysis and  ... 
doi:10.5334/dsj-2015-007 fatcat:3dqty7rokvbsnpluwpx3ez2x2i

Knowledge Curation and Knowledge Fusion

Xin Luna Dong, Divesh Srivastava
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
In turn, building high-quality knowledge repositories critically depends on the technologies of knowledge curation and knowledge fusion, which share many similar goals with data integration, while facing  ...  process of knowledge extraction from sources.  ...  We present how existing data fusion techniques can be adapted to solve the knowledge fusion problem; in addition, we present the knowledge fusion techniques from the machine learning community based on  ... 
doi:10.1145/2723372.2731083 dblp:conf/sigmod/DongS15 fatcat:ox27mcqbwvgq3lxebvupl25yte

Knowledge Fusion Methods: A Survey

Xue-lu YU, Lin QIAO
2017 DEStech Transactions on Computer Science and Engineering  
Knowledge fusion is to organize knowledge into a unified form from disparate sources in a highly dynamic way.  ...  We also discussed the advantages and disadvantages of different kind of knowledge fusion patterns and methods.  ...  They attempt to automate a task of velocity analysis that derives propagating velocities of seismic waves from velocity spectrum data.  ... 
doi:10.12783/dtcse/smce2017/12440 fatcat:vkcdck5syzervov7s6kd25cicq

Rule-Based Agricultural Knowledge Fusion in Web Information Integration

Xie Nengfu, Wang Wensheng, Yang Xiaorong, Jiang Lihua
2012 Sensor Letters  
Deeper information integration, called knowledge fusion (KF), which provides a more integrated answer, involves not only delivering the answer information available via the links to user, but also analyzing  ...  In the paper, we give a detail about the knowledge fusion Method, and a KF-based information access interface. Many experiments prove that the method is effective.  ...  So we need solve data confliction between equivalent entities from different information sources, and aim to provide uses a more complete answer in which data may coming from different entities.  ... 
doi:10.1166/sl.2012.1874 fatcat:4fpzvxqm5feprkv5pt33auipm4

Multi-Sensor Data and Knowledge Fusion – A Proposal for a Terminology Definition [article]

Silvia Beddar-Wiesing, Maarten Bieshaar
2020 arXiv   pre-print
However, a clear definition of the type of fusion is not always provided due to inconsistent literature.  ...  Fusion is a common tool for the analysis and utilization of available datasets and so an essential part of data mining and machine learning processes.  ...  Acknowledgment This work results from the project DeCoInt 2 , supported by the German Research Foundation (DFG) within the priority program SPP 1835: "Kooperativ interagierende Automobile", grant number  ... 
arXiv:2001.04171v1 fatcat:2wj5xe3bqrdf3bt7sn2em7vqne

Multisensor fusion for decision-based control cues

Linda A. Gee, Mongi A. Abidi, Ivan Kadar
2000 Signal Processing, Sensor Fusion, and Target Recognition IX  
Decision level fusion deals with inference techniques such as the Dempster-Shafer method. Knowledge-Based Data Fusion To use a knowledge base[10], inference and evaluation are necessary.  ...  Decision level fusion Data level fusion deals with each sensor independently according to an identification scheme.  ...  ) • As few as two inputs (no input from any of the sensors, input from the current situation status and the knowledge base) The formal steps to determine the decision cues include: 1.  ... 
doi:10.1117/12.395075 fatcat:wbqzerz2dbeppfmk6ploo624du

Information Fusion for Multi-Source Material Data: Progress and Challenges

Zhou, Hong, Jin
2019 Applied Sciences  
To the best of our knowledge, the community is currently lacking a comprehensive review of the state-of-the-art techniques on material data fusion.  ...  First, we present a systematic categorization and comparison framework for material data fusion according to the processing flow of material data.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/app9173473 fatcat:yq25vikkqfdflp36bqx5o3l6wu

Rule-based diagnostic system fusion

A. Zemirline, L. Lecornu, B. Solaiman
2007 2007 10th International Conference on Information Fusion  
The fusion method is characterized by a hybrid fusion which combines rule fusion approach with knowledge fusion approach. Knowledge fusion relies on the distortion measure of various bases.  ...  In this work, we present a new fusion method that uses fuzzy set theory. This method is applied to the diagnostic system rule bases.  ...  It consists of combining raw data resulting from several sources or various primitive levels extracted from only one source in order to deduce perfect and less noisy data. • Decision fusion is the solution  ... 
doi:10.1109/icif.2007.4408205 dblp:conf/fusion/ZemirlineLS07 fatcat:77wiautde5bm7k3qznnnfukowe

Ontological issues in higher levels of information fusion: user refinement of the fusion process

E.P. Blasch, S. Piano
2003 Sixth International Conference of Information Fusion, 2003. Proceedings of the  
The functional role of the data instability and uncerta int a dynamically changing fusion system is to provide timely and accurate data to world.  ...  The experimentalists collected data and lowest level and combine data to a usable form for the processed it to understand the world around them.  ...  Additionally, context be able to drill down from the fusion result to the data pedigree requires common knowledge of sensor and data processed.  ... 
doi:10.1109/icif.2003.177506 fatcat:iopy5tg455he3oomfyxviqes2y

Heterogeneous Knowledge Fusion Algorithm for Minority Cultural Resources based on MapReduce

Liu Ying, Zhou Juxiang, Gan Jianhou
2019 International Journal of Performability Engineering  
Aiming at the shortcomings of current knowledge fusion methods and understanding the knowledge fusion algorithm in the big data environment, this paper proposes a heterogeneous knowledge fusion algorithm  ...  In order to improve the performance of the fusion algorithm, the algorithm is used in the similarity calculation.  ...  Knowledge fusion is a cross-disciplinary subject, mainly derived from knowledge science and information fusion.  ... 
doi:10.23940/ijpe.19.08.p26.22582266 fatcat:25c752apbvhurmb7jykhbq66sq
« Previous Showing results 1 — 15 out of 359,961 results