Towards Semantic Data Mining
نویسنده
چکیده
Incorporating domain knowledge is one of the most challenging problems in data mining. The Semantic Web technologies are promising to offer solutions to formally capture and efficiently use the domain knowledge. We call data mining technologies powered by the Semantic Web, capable of systematically incorporating domain knowledge, the semantic data mining. In this paper, we identify the importance of semantic annotation—a crucial step towards realizing semantic data mining by bringing meaning to data, and propose a learning-based semantic search algorithm for annotating (semi-) structured data.
منابع مشابه
Query Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...
متن کاملDevelopment of a Combined System Based on Data Mining and Semantic Web for the Diagnosis of Autism
Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...
متن کاملTOWARDS SEMANTIC DATA MININGWITH g-SEGS
This paper introduces the term semantic data mining to denote a data mining approach where domain ontologies are used as background knowledge for data mining. It is motivated by successful applications of SEGS (search for enriched gene sets), a system that uses biological ontologies as background knowledge to construct descriptions of interesting gene sets in experimental microarray data. We ge...
متن کاملDevelopment of a Combined System Based on Data Mining and Semantic Web for the Diagnosis of Autism
Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...
متن کاملUse of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
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 2010