One of the most interesting aspects of subject-centric information processing as services is the relationship between resources and subjects. Especially Topic Maps and Published Subjects are core elements of the infrastructure of relationship management. This paper proposes an Application Framework based on Topic Maps. The Application Framework will make possible to realize subject-centric proc...

Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers huge number of concepts of various fields such as Arts, Geography, History, Science, Sports and Games. Since it is becoming a database storing all human knowledge, Wikipedia mining is a promising approach that bridges the Semantic Web and the Social Web (a. k. a. Web 2.0). In fact, i...

A crucial aspect of a knowledge base population system that extracts new facts from text corpora, is the generation of training data for its relation extractors. In this paper, we present a method that maximizes the effectiveness of newly trained relation extractors at a minimal annotation cost. Manual labeling can be significantly reduced by Distant Supervision (DS), which is a method to const...

Semantic memory refers to our knowledge of facts and relationships between concepts. A successful semantic memory depends on inferring relationships between items that are not explicitly taught. Recent mathematical modeling of episodic memory argues that episodic recall relies on retrieval of a gradually-changing representation of temporal context. We show that retrieved context enables the dev...

The content is extracted by means of semantic relevancy. The semantic relevancies relate the content of videos based on a certain parameter. The parameter varies between system to system (implementation). The parameter will improve the performance of semantic relevancy and accuracy. This accuracy is obtained after various random experiments. Here a method called concept, sub concept graph metho...

Some individuals with aphasia preferably use semantically general light verbs, whereas others prefer semantically specific heavy verbs. This study aimed to test Gordon and Dell's "division of labor" hypothesis that light versus heavy verb usage depends on syntactic and semantic processes, respectively. In a retrospective analysis of data from the AphasiaBank corpus, narrative language of neurol...

On the Semantic Web, the types of resources and the semantic relationships between resources are defined in an ontology. By using that information, the accuracy of information retrieval can be improved. In this paper, we present effective ranking and search techniques considering the semantic relationships in an ontology. Our technique retrieves top-k resources which are the most relevant to qu...

semantic shifting which is one of the most important semantic processes forming the meaning of some linguistic structures was first introduced by safavi (1379). the meaning of different structures such as proverbs, are made by semantic shifting which takes place on the syntagmatic axis, but is shown on the paradigmatic axis. the corpus used in this study consists of 10 persian proverbs which ar...

Ontology is an important emerging discipline that has the huge potential to improve information organization, management and understanding. It has a crucial role to play in enabling content-based access, interoperability, communications, and providing qualitatively new levels of services on the next generation of Web transformation in the form of the Semantic Web. The issues pertaining to ontol...