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Knowledge-driven

Linguistic Knowledge driven Approach to Chinese Comparative Elements Extraction

Linguistic Knowledge driven Approach to Chinese Comparative Elements Extraction

... The BI ( 比 )-structure, which highlights a contrasting characteristic between two items, is the key comparative sentence structure in Chinese. In this paper, we explore the methods of extracting the 6 constituents of the ...

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Knowledge-driven genomic interactions: an application in ovarian cancer

Knowledge-driven genomic interactions: an application in ovarian cancer

... identify knowledge-driven genomic interactions using the same knowledge source, such as pathway-pathway interactions, that were predictive of cancer ...investigated knowledge-driven ...

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Knowledge Driven Event Embedding for Stock Prediction

Knowledge Driven Event Embedding for Stock Prediction

... our knowledge-driven event embeddings with the baseline methods on individual stock prediction, using the 15 companies selected by Ding et ...that knowledge-driven event embeddings achieve ...

10

Planning for knowledge driven industry in the South East

Planning for knowledge driven industry in the South East

... In these areas, cluster policies should assume continued growth, and set aside additional land for high technology industry specifically. Authorities should also promote their area as a high technology location. In areas ...

98

Towards the knowledge driven benchmarking of autonomic communications

Towards the knowledge driven benchmarking of autonomic communications

... Here we lay out some specific concepts in our knowledge driven approach to a benchmarking autonomic systems. The first assertion is that autonomic communication systems should be modelled in a way that ...

6

KCAR : a knowledge driven approach for concurrent activity recognition

KCAR : a knowledge driven approach for concurrent activity recognition

... Recognising human activities from sensors embedded in an environment or worn on bodies is an important and challenging research topic in pervasive computing. Existing work on activity recognition is mainly concerned with ...

36

Knowledge-Driven Decision Support System
Based on Knowledge Warehouse and Data
Mining for Market Management

Knowledge-Driven Decision Support System Based on Knowledge Warehouse and Data Mining for Market Management

... and knowledge discovery process in database (KDD)", taking into consideration that each of these fields is related to and influenced by the ...the knowledge management process , the (KDD) process should ...

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Knowledge-Driven Economy As A Panacea For Economic Recession

Knowledge-Driven Economy As A Panacea For Economic Recession

... Knowledge holds the key to modernizing the Nigerian economy. However, to achieve this, the government needs to put in place a proper economic framework to help drive the economy. The transition to a ...

8

Genome analysis and knowledge-driven variant interpretation with TGex

Genome analysis and knowledge-driven variant interpretation with TGex

... Results: We present TGex, the Translational Genomics expert, a novel genome variation analysis and interpretation platform, with remarkable exome analysis capacities and a pioneering approach of non-coding variants ...

17

A Neural Network Approach for Knowledge Driven Response Generation

A Neural Network Approach for Knowledge Driven Response Generation

... background knowledge, our end-to-end learnable model is able to generate context-sensitive and knowledge-driven responses by leveraging the alignment of two different data ...

11

Biomedical Event Extraction based on Knowledge driven Tree LSTM

Biomedical Event Extraction based on Knowledge driven Tree LSTM

... domain-specific knowledge and deeper understanding of complex ...background knowledge, we propose a novel knowledge base (KB)-driven tree- structured long short-term memory networks ...

10

Key Features in Knowledge-Driven Companies

Key Features in Knowledge-Driven Companies

... Abstract. In today’s Romanian business environment, an increasing attention should be laid on clarifying the organizational strategy, structures and systems within the corporate governance, and moreover a critical eye ...

16

Identifying and Ranking Development Drivers of Knowledge-based Technology-Driven Companies (Case study: Fars Province Science and Technology Park)

Identifying and Ranking Development Drivers of Knowledge-based Technology-Driven Companies (Case study: Fars Province Science and Technology Park)

... of knowledge-based, technology-driven ...the knowledge-based, technology-driven companies located in the mentioned Science and Technology ...world knowledge and a means for ...

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COMPUTATIONALLY EFFICIENT SECURE AND PRIVACY PRESERVING STORAGE OF IMAGE DATA ON 
HYBRID CLOUD

COMPUTATIONALLY EFFICIENT SECURE AND PRIVACY PRESERVING STORAGE OF IMAGE DATA ON HYBRID CLOUD

... temporal knowledge modeling ...a knowledge driven approach, it depends on three knowledge bases coded as: static activity model, dynamic activity model, and context-driven ...context- ...

20

Knowledge Enriched Learning by Converging Knowledge Object & Learning Object

Knowledge Enriched Learning by Converging Knowledge Object & Learning Object

... learning, knowledge should also be delivered along with the domain ...centric Knowledge Driven Learning Management System ...learning, knowledge enriched teaching skills are required, which ...

11

TQM Practices and Organisational Knowledge Creation: An Empirical Study of Iraqi Higher Education Institutions

TQM Practices and Organisational Knowledge Creation: An Empirical Study of Iraqi Higher Education Institutions

... organisational knowledge through TQM practices in Iraqi ...as knowledge-driven organisations need to leverage knowledge creation capabilities, emphasis should be given to TQM practices, which ...

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A multisource fusion framework driven by user defined knowledge for egocentric activity recognition

A multisource fusion framework driven by user defined knowledge for egocentric activity recognition

... a knowledge-driven multisource fusion framework for the recognition of egocentric activities in daily living ...s knowledge, images acquired by a wearable camera, and sensor data from wearable ...

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A Framework of Business Intelligence-driven Data Mining for e-business

A Framework of Business Intelligence-driven Data Mining for e-business

... D. Method-driven and Knowledge-driven Data Mining Method-driven DM is a common method on data mining nowadays. It works on developing and applying algorithms to model and mine data. Until now, ...

7

“Happy accidents”: innovation-driven opportunities and perspectives for development in the knowledge economy

“Happy accidents”: innovation-driven opportunities and perspectives for development in the knowledge economy

... “A knowledge-driven economy is one in which the generation and exploitation of knowledge play the predominant part in the creation of wealth ” (UK Department of Trade and Industry ...the ...

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Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity seeking Queries

Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity seeking Queries

... the knowledge graph (KG) and rely on a noisy ...cision knowledge graph but also attempts to pro- vide more reachability to corpus by the use of re- lational ...

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