Learning and Extending Lexical Ontologies by using Machine Learning Methods PREFACE
نویسنده
چکیده
In this paper design of relationship links for extraction of semantic information especially for a visual corpus of architecture, on a case study of historical relics is discussed. Further definition of relationship functions between entities -or terms with related attributesare shown by a visual graph or simple formula. Domain dependent designs of relationship as a part of ontology development for the selected corpus, and based on it implementation of tools like protégé are presented. It concludes with conceptual sketch of one application of this model for layout learning semantic information access of the architectural corpora.
منابع مشابه
طراحی سامانه هوشمند ساخت هستان نگار به کمک شبکه عصبی ARTو روشC-value
In recent years, many efforts have been done to design ontology learning methods and automate ontology construction process. The ontology construction process is a time-consuming and costly procedure for almost all domains/applications, so automating this process is a solution to overcome the knowledge acquisition bottleneck in information systems and reduce the construction cost. In this artic...
متن کاملEmotion Detection in Persian Text; A Machine Learning Model
This study aimed to develop a computational model for recognition of emotion in Persian text as a supervised machine learning problem. We considered Pluthchik emotion model as supervised learning criteria and Support Vector Machine (SVM) as baseline classifier. We also used NRC lexicon and contextual features as training data and components of the model. One hundred selected texts including pol...
متن کاملComparative Study of Degree of Bilingualism in Lexical Retrieval and Language Learning Strategies
This study compares lexical retrieval amongst monolinguals and intermediate bilinguals and advanced bilinguals. It also investigates the possible effects of their language learning strategies on their respective lexical retrieval advantage. The study used a mixed methods design and the groups consisted of 20 Persian near-monolinguals, 20 Persian-English intermediate level bilinguals, and 20 Per...
متن کاملInductive Lexica
Machine Learning techniques are useful tools for the automatic extension of existing lexical databases. In this paper, we review some symbolic machine learning methods which can be used to add new lexical material to the lexicon by automatically inducing the regularities implicit in lexical representations already present. We introduce the general methodology for the construction of inductive l...
متن کاملForecasting the Tehran Stock market by Machine Learning Methods using a New Loss Function
Stock market forecasting has attracted so many researchers and investors that many studies have been done in this field. These studies have led to the development of many predictive methods, the most widely used of which are machine learning-based methods. In machine learning-based methods, loss function has a key role in determining the model weights. In this study a new loss function is ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005