Hiranmay Ghosh

Bio: Hiranmay Ghosh is an academic researcher from Centre for Development of Telematics. The author has contributed to research in topics: Web Ontology Language & Ontology Inference Layer. The author has an hindex of 1, co-authored 4 publications receiving 3 citations.

Knowledge representation for Web based services in a multi-cultural environment

Abstract: With the Internet being a global resource, Web based applications need to break the barriers of language and culture. The core of an intelligent Web based application comprises an ontological description of the domain. A domain ontology needs a medium for expression, which usually consists of terminology borrowed from a natural language. Thus, a knowledge based application becomes susceptible to linguistic and cultural context. The authors present a novel knowledge representation technique that distinguishes between the abstract concepts in a domain and their expressions. It can associate expressions from different languages with the concepts in an ontology network. Non-textual symbols and media property specifications can also be used to express the concepts using this technique. The resulting ontology can thus be used in a multi-lingual and multi-cultural environment. An RDF based language is used as a vehicle for the knowledge representation scheme.

ImAge: an extensible agent-based architecture for image retrieval

Abstract: We present an open and extensible architecture, ImAge, for content-based image retrieval in a distributed environment. The architecture proposes the use of system components with standard public interfaces for implementing retrieval functionality. The standardization of the components and their encapsulation in autonomous software agents result in functional stratification and easy extensibility. Collaboration of the independent retrieval resources in ImAge results in enhanced system capability. Reuse of existing retrieval resources is achieved by encapsulating them in agents with standard interfaces. The addition of independent agents with domain knowledege adds the capability of processing conceptual queries, while reusing the existing system components for feature-based retrieval. A communication protocol allows the declaration of the capabilities of the system components and negotiations for optimal resource selection for solving a retrieval problem. The use of mobile agents alleviates network bottlenecks. This paper describes a prototype implementation that validates the architecture.

Visual method and system for rdf creation, manipulation, aggregation, application and search

Abstract: The present invention provides a system and method whereby unsophisticated users can create manipulate and use semantic ontologies for storing, searching and retrieving information over the Internet by forming RDF statements using visual identifiers for predicates.

Distributed and reactive query planning in R-MAGIC: an agent-based multimedia retrieval system

Abstract: We present the planning scheme for a cooperative agent-based multimedia retrieval architecture that integrates a heterogeneous set of repositories into a coherent information system. The agents in the system collaborate in context of a conceptual query to formulate unique retrieval strategies for the different collections. The retrieval plan makes need-based use of independent content analysis tools available on the network. The retrieval strategies for the repositories so formulated satisfy the specified constraints on quality of results and the response time requirements. The retrieval plan is reactively updated based on the retrieval performance at the individual repositories. We present some experimental results to show the effectiveness of the planning scheme for repositories with different characteristics and the scalability of the architecture. We present a prototype implementation of this architecture that integrates a set of dissimilar collections of multimedia data on Indian cultural heritage. A comparison of the retrieval results with some existing Internet search tools proves the effectiveness of the architecture.

Evaluation of Knowledge Representation Schemes as a Prerequisite toward Development of a Knowledge-Based System

Abstract: In developing a knowledge-based system, it is crucial to use an appropriate knowledge representation scheme (KRS) for efficient working of the developed system. However, it is difficult to select an appropriate KRS due to lack of a generalized method of comparison among the variety of schemes available. The objective of this paper is to discuss a generalized method for comparative evaluation of KRS, based on criteria of expressiveness and performance. The discussed method has been implemented for evaluation of four widely used KRSs: rule-based model, object-based model, relational model, and hybrid model. Evaluation is being carried out using a knowledge base for zonation of landslide hazard. Based on the criteria of expressiveness and performance, it has been found that hybrid-based KRS is best for representation of the domain knowledge available in the Indian Standard Code 14496-1998 (Part-II).