Tailored semantic annotation for semantic search

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Semantic Annotation Framework For Intelligent Information Retrieval Using KIM Architecture

Due to the explosion of information/knowledge on the web and wide use of search engines for desired information,the role of knowledge management(KM) is becoming more significant in an organization. Knowledge Management in an Organization is used to create ,capture, store, share, retrieve and manage information efficiently. The semantic web, an intelligent and meaningful web, tend to provide a p...

Bulgarian Language Resources for Ontology-Based Semantic Search

This paper presents the language resources, which would facilitate the ontology-based semantic search. Some of these resources are language independent, such as the domain ontology. Some depend on the specific language: terminological lexicons, annotation grammars, sense disambiguation rules, gold standard corpus. Here we focus on the Bulgarian resources constructed in two domains for supportin...

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 ...

GATECloud.net: Web-Scale Semantic Annotation and Search Made Easy

The growth of social media and other unstructured content on one hand, and Linked Open Data on the other, now pose a significant challenge for Semantic Web researchers wishing to design, implement, and evaluate semantic annotation algorithms on web scale datasets. Running experiments on standard servers is often too time consuming, whereas implementing these efficiently with MapReduce/Hadoop re...