This study examines the relationship between two kinds of semantic spaces — i.e., spaces based on term frequency (tf) and word cooccurrence frequency (co) — and four semantic relations — i.e., synonymy, coordination, superordination, and collocation — by comparing, for each semantic relation, the performance of two semantic spaces in predicting word association. The simulation experiment demons...

An extension to ER (Entity Relationship) model for semantic modeling of databases in top down manner is presented. The model proposes a new entity type called composite entity type and a table based meta construct called tabletype relationship. A composite entity type models composite entities, whereas a tabletype relationship is shorthand and represents a number of relationship types. The conc...

Compensating CSP (cCSP) is a language defined to model long running business transactions within the framework of standard CSP process algebra. In earlier work, we have defined both traces and operational semantics of the language. We have shown the consistency between the two semantic models by defining a relationship between them. Synchronization was missing from the earlier semantic definiti...

Web has become an important part of our day to day lives. Whether we are trying to make an online payment or if we are trying to reserve a trip, we can do that with a click of a mouse. Web has defined the way we live. It has made our lives easier and effortless. Search engines play an important role in the current web’s infrastructure. Similarly, with the advent of semantic web, there would be ...

the research argues that the ending divine attributes of the quranic verses are related semantically to the verses’ theme. according to the content of the quranic verses, supported by some commentators, the ending divine attributes of the verses have such a deep semantic relationship with the verse content that if we abandon the ending attributes, some disorder is made in the verse theme. this ...

Semantic relationships between words provide relevant information about the whole idea in texts. Existing embedding representation models characterize each word as a vector of numbers with fixed length. These have been used tasks involving text classification, such recommendation and question–answer systems. However, embedded provided by semantic has neglected. Therefore, this paper proposes an...