We present a simple linguistically-motivated method for characterizing the semantic relations that hold between two nouns. The approach leverages the vast size of the Web in order to build lexically-specific features. The main idea is to look for verbs, prepositions, and coordinating conjunctions that can help make explicit the hidden relations between the target nouns. Using these features in ...

The current internet has seen a tremendous growth of web services as an important technology for exchanging information, computing resources and programs online. With these increasing acceptance and existence of internet services, it has become high importance to have effective and accurate recommendation systems. It was observed that vast majority of web services are without associated with a ...

Classifying data hierarchically is an efficient approach to analyze data. Data is usually classified into multiple categories, or annotated with a set of labels. To analyze multi-labeled data, such data must be specified by giving a set of labels as a semantic range. There are some certain purposes to analyze data. This paper shows which multi-labeled data should be the target to be analyzed fo...

How does the brain work? How do we recognize things? These are one of the few mystery of the world which has bothered the cognitive researchers for years and continue to haunt them. In this project, we try to analyze the visual semantic processing of the objects of different shapes in the brain. We show the people videos with changing shapes and analyze their brain signals to see the effects of...

This paper presents a formal framework and outlines a method that autonomous agents can use to negotiate the semantics of their communication language at run-time. Such an ability is needed in open multi-agent systems so that agents can ensure they understand the implications of the utterances that are being made and so that they can tailor the meaning of the primitives to best fit their prevai...

Medical imaging protocols produce large amounts of multimodal volumetric images. The large size of the datasets contributes to the success of supervised discriminative methods for semantic image segmentation. Classifying relevant structures in medical images is challenging due to (a) the large size of data volumes, and (b) the severe class overlap in the feature space. Subsampling the training ...

With the increase in the number of available web services, searching for appropriate web services fulfilling the service discoverer’s functional requirements has become as major challenge. Web services standards, in their present format support only keyword based search and many services which can fulfill the user’s requirements are not retrieved. Basic requirement for efficient service discove...

Most knowledge on the Web is encoded as natural language text, which is convenient for human users but very difficult for software agents to understand. Even with increased use of XML-encoded information, software agents still need to process the tags and literal symbols using application dependent semantics. The Semantic Web offers an approach in which knowledge can be published by and shared ...