[PDF] Top 20 Enriching An Academic knowledge base using Linked Open Data
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Enriching An Academic knowledge base using Linked Open Data
... enterprise data usually does not have the luxury of highly redundant data exploited in the above ...available data sources built using these collaborative resources on the linked ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... Recently, many second generation image compression algorithms such as the Bandelets (2005) [29], the Prune tree (2005) [12], the Prune- Join tree (2005) [12], the GW image coding method (2007) [13] and the like based on ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... 3. USER MODELING IN PERSONALIZATION User modeling is an essential part of a Personalized Web Search. It is the process of developing personal preferences of the users in terms of user’s browsing history, knowledge ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... Based on field observations and interviews, it was concluded that the public in general is still skeptical on the ability that distance learning program has in enhancing and increasing the knowledge and skills of ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... The parameters are set by the job distributors. The load degree could be evaluated from the number of CPU cycles involved and also the process execution time involved. The load degree threshold limit is considered based ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... Dis-VoW. Using the distances measured by the propagation delay of acoustic signals, every sensor reconstructs the local network topology using multi-dimensional ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... Test data Compression is necessary due to the high cost of ATE memory, and the enormous amount of test volume and power ...test data compression method, which simultaneously reduced SoC test data ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... filter using carry save adder tree and a modified shift accumulator is presented ...by using the carry save ...coefficients using Spartan FPGA device shows ...DA using RCA and ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... without using any control technique. Controlling the speed of rotor without using any controller was more difficult and more time consuming for achieving the stable ...H-infinity using fuzzy logic ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... Zhaowan Sun et al. [11] proposed a video watermarking scheme, based on a locating motion region using the independent component analysis (ICA) and the quantization index modulation (QIM) of the original video. A ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... Because of its trategic role in the economy of Indonesia, managing trading of rice nationwide has been assigned as one of the main function of the State Owned Company, BULOG. In helping to manage this commidity, a system ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... museum. Base on the interview, it can be concluded that overall Virtual touring is good but needs to be improved in terms of navigation and virtual tour ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... this knowledge, a fuzzy system is utilized to tune the inertia weight and learning factors with the best fitness (BF) and the number of generations for the best unchanged fitness (NU) as the input variables, and ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... the base station or they have less nodes density and same things for other ...on using artificial intelligence with routing ...However using such technique will come up with more overheads to the ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... simulated using network simulator (NS2) ...the base station (BS) are deployed in a 1000 meter x 1000 meter region for 60 seconds simulation ...4 base stations along with 24 client nodes using ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... of data is to be encrypted or decrypted, it significantly becomes slower compared to the symmetric key ...several open issues about interoperability between PKI’s operated by different organization and ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... For effective compression of the medical images, the images must be processed using effective techniques. In this paper, the improved ridgelet transform has been used for compressing the medical images and the ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... Cloud computing is a new paradigm in which dynamically scalable virtualized computing resources are provided as a service over the Internet. As resources are limited, it is very important that cloud providers ... See full document
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... Comprehensive analysis of the Internet traffic conducted over the last decade revealed the concept of long- range dependence (LRD) in the collected data traces. Some of this analysis work proved that this property ... See full document
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The LODeXporter: Flexible Generation of Linked Open Data Triples from NLP Frameworks for Automatic Knowledge Base Construction
... of linked open data (LOD) compliant triples from text analysis ...a knowledge engi- ...agile data science workflows (Sateli and Witte, 2016), where ex- isting NLP pipelines can be ... See full document
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