Applying Analogy to Schema Generation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Analogy Generation with HowNet

Analogy is a powerful boundary-transcending process that exploits a conceptual system's ability to perform controlled generalization in one domain and re-specialization into another. The result of this semantic leap is the transference of meaning from one concept to another from which metaphor derives its name (literally: to carry over). Such generalization and re-specialization can be achieved...

متن کامل

Towards Analogy-Based Story Generation

Narrative is one of the oldest creative forms, capable of depicting a wide spectrum of human conditions. However, many existing stories generated by planning-based computational narrative systems are confined to the goal-driven, problem-solving aesthetics. This paper focuses on analogy-based story generation. Informed by narratology and computational analogy, we present an analytical framework ...

متن کامل

Applying a Data Miner To Heterogeneous Schema Integration

An application of data mining techniques to heterogeneous database schema integration is introduced. We use attribute-oriented induction to mine for characteristic and classification rules about individual attributes from heterogeneous databases. Each mining request is conditioned on a subset of attributes identified as "common" between the multiple databases. We develop a method to compare the...

متن کامل

Applying Learning Algorithms to Music Generation

Several automated composition systems have arisen that generate or facilitate understanding of blues chord progressions, jazz improvisation, or classical pieces. Such systems often work by applying a set of rules explicitly provided to the system to determine what sequence of output values is appropriate. Others use pattern recognition and generation techniques such as Markov chains. We propose...

متن کامل

Applying Morphology Generation Models to Machine Translation

We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information from both the source and target languages. Our inflection generation models are trained independently of the SMT system. We investigate different ways of combining the inflection prediction component with the SMT syst...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: iSys - Brazilian Journal of Information Systems

سال: 2008

ISSN: 1984-2902

DOI: 10.5753/isys.2008.114