Faculty Publications
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Item Ontological Structure-Based Retrieval System for Tamil(Springer Science and Business Media Deutschland GmbH info@springer-sbm.com, 2021) Rajendran, S.; Padannayil, K.P.; Anand Kumar, M.; Sankaralingam, C.Ontological structure of Tamil (OST) is an outcome of an extensive research activity that went on in the field of lexical semantics of Tamil for the last three decades. Rajendran’s (Semantic structure of Tamil vocabulary. Report of the UGC sponsored postdoctoral work (in manuscript). Deccan College Post-Doctoral Research Institute, Pune, 1983) post-doctoral research work went through several stages before culminating into OST. It depicts the travel from Tamil thesaurus to Tamil WordNet and into OST. OST is a lexical resource which amalgamates all sorts of information available in a dictionary, thesaurus and WordNet. The Dravidian WordNets (in which Tamil WordNet is one of the four components) built under the Indo-WordNet project depended on an ontology developed by Western conceptualization of the world found in English. This has not taken into consideration the Indian conceptualization of the world depicted in the nikhandu tradition. There are many lexical gaps between English WordNet and Tamil WordNet. Moreover, building a WordNet based on Hindi WordNet which in turn is built on English WordNet will take many years to complete and it would miss the conceptualization depicted in Indian tradition. Apart from this, the extension approach of building Tamil WordNet using Hindi WordNet cannot fulfil Dravidian conceptualization. A merger approach of building separate WordNets and collapsing them into one would have been a preferable approach. The present OST tried to overcome the lacunae found in Tamil WordNet. OST is based on the Indian and Dravidian conceptualization and the process of building one is comparatively very simple. We have the plan to mend it into a generic one so that all the Dravidian languages can be easily accommodated into it. © 2021, Springer Nature Switzerland AG.Item Ontologies for specifying and reconciling contexts of web services(Elsevier, 2006) Sattanathan, S.; Narendra, N.C.; Maamar, Z.This paper presents an ontology-based approach for the specification (using OWL-C as a definition language) and reconciliation (using ConWeS as a mediation tool) of contexts of Web services. Web services are independent components that can be triggered and composed for the satisfaction of user needs (e.g., hotel booking). Because Web services originate from different providers, their composition faces the obstacle of the context heterogeneity featuring these Web services. An unawareness of this context heterogeneity during Web services composition and execution results in a lack of the quality and relevancy of information that permits tracking the composition, monitoring the execution, and handling exceptions. © 2006 Elsevier B.V. All rights reserved.Item NN based ontology mapping(Springer Verlag service@springer.de, 2013) Manjula Shenoy, K.; Shet, K.C.; Dinesh Acharya, U.The Semantic Web presents new opportunities for enabling modelling, sharing and reasoning with knowledge available on the web. These are made possible through the formal representation of the knowledge domain with ontologies. Ontology is also seen as a key factor for enabling interoperability across heterogeneous systems. Ontology mapping is required for combining distributed and heterogeneous ontologies. This paper introduces you to the problem of heterogeneity, and need for ontologies and mapping. Also gives an overview of some such ontology mapping systems together with a new system using neural network. The system designed takes OWL files as input and determines all kinds of matching such as 1:1,1:n,n:1,n:n between the entities. © 2013 Springer-Verlag.Item Ontology based approach for event detection in twitter datastreams(Institute of Electrical and Electronics Engineers Inc., 2015) Kaushik, R.; Apoorva Chandra, S.; Mallya, D.; Chaitanya, J.N.V.K.; Kamath S․, S.In this paper, we present a system that attempts to interpret relations in social media data based on automatically constructed dataset-specific ontology. Twitter data pertaining to the real world events such as the launch of products and the buzz generated by it, among the users of Twitter for developing a prototype of the system. Twitter data is filtered using certain tag-words which are used to build an ontology, based on extracted entities. Wikipedia data on the entities are collected and processed semantically to retrieve inherent relations and properties. The system uses these results to discover related entities and the relationships between them. We present the results of experiments to show how the system was able to effectively construct the ontology and discover inherent relationships between the entities belonging to two different datasets. © 2015 IEEE.Item Sociopedia: An interactive system for event detection and trend analysis for twitter data(Springer Science and Business Media Deutschland GmbH info@springer-sbm.com, 2016) Kaushik, R.; Apoorva Chandra, S.; Mallya, D.; Chaitanya, J.N.V.K.; Kamath S․, S.The emergence of social media has resulted in the generation of highly versatile and high volume data. Most web search engines return a set of links or web documents as a result of a query, without any interpretation of the results to identify relations in a social sense. In the work presented in this paper, we attempt to create a search engine for social media datastreams, that can interpret inherent relations within tweets, using an ontology built from the tweet dataset itself. The main aim is to analyze evolving social media trends and providing analytics regarding certain real world events, that being new product launches, in our case. Once the tweet dataset is pre-processed to extract relevant entities, Wiki data about these entities is also extracted. It is semantically parsed to retrieve relations between the entities and their properties. Further, we perform various experiments for event detection and trend analysis in terms of representative tweets, key entities and tweet volume, that also provide additional insight into the domain. © Springer India 2016.Item An Ontology Based Trust Framework for Sensor-Driven Pervasive Environment(Institute of Electrical and Electronics Engineers Inc., 2018) Karthik, N.; Ananthanarayana, V.S.Pervasive computing is an environment consisting set of sensor nodes with the characteristics of perception, computation and communication capabilities. Wireless sensor nodes are deployed in various pervasive computing applications to observe the happenings in the surroundings. Data gathered from such wireless sensor nodes are utilized for critical decision making in context-aware environment. The Frequent incorrect data sampling, missing values, untrustworthy data, misbehavior and selfishness of nodes are common in pervasive applications since they are deployed in unfriendly and harsh environment. Moreover, the increasing number of sensor node fabricator leads to interoperability problems in context aware pervasive applications because they are represented in different formats and processed using different techniques. In this paper, we propose an ontology based trust framework for sensor driven pervasive environment for evaluating node and data trustworthiness which suffers from heterogeneity and interoperability problems. The proposed approach is capable of handling all types of nodes in pervasive environment and heterogeneous data generated from harsh and unfriendly environments of context aware pervasive applications. The proposed method comprises of semantic sensor data model and an ontology which is written in OWL language and implemented in protege. The proposed ontology is validated against use case and used for finding the trustworthiness of different sensor nodes and its data using a generic TRUST ontology. © 2017 IEEE.Item Enhancing Knowledge Management in the Construction Industry: Exploring the Impact of Semantic Web Technologies(Springer Science and Business Media Deutschland GmbH, 2025) Kone, V.; Mahesh, G.; Ingle, P.V.This research paper investigates the practical applications of Semantic Web technologies within the construction industry, specifically focusing on their role in knowledge management. The methodology employed for this research entails a systematic literature review, wherein relevant studies pertaining to Semantic Web technologies in the construction industry are gathered and meticulously analyzed. The study’s findings provide valuable insights into the benefits, challenges, and opportunities associated with the implementation of Semantic Web technologies for knowledge management purposes. The research reveals that Semantic Web technologies play a vital role in facilitating enhanced knowledge discovery, integration, and retrieval within construction projects. By establishing interoperability and integrating diverse data sources, these technologies effectively break down data silos and enable a comprehensive view of project information. Moreover, the study demonstrates that Semantic Web technologies support efficient collaboration, improve decision-making processes, and enable advanced analytics and predictive capabilities within construction projects. The significance of this research paper lies in its contribution to the understanding of Semantic Web technologies and their potential to revolutionize knowledge management practices within the construction industry. In conclusion, this research paper highlights the transformative impact of Semantic Web technologies on knowledge management in construction, establishing a robust foundation for future research and practical implementation in this dynamic industry. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.Item Towards an ontology-based approach for specifying and securing Web services(2006) Maamar, Z.; Narendra, N.C.; Sattanathan, S.With the increasing popularity of Web services and increasing complexity of satisfying needs of users, there has been a renewed interest in Web services composition. Composition addresses the case of a user request that cannot be satisfied by any available Web service, whereas a composite service obtained by integrating Web services might be used. Because Web services originate from different providers, their composition faces the obstacle of the context heterogeneity of Web services. An unawareness or poor consideration of this heterogeneity during Web services composition and execution result in a lack of the quality and relevancy of information that permits tracking the composition, monitoring the execution, and handling exceptions. This paper presents an ontology-based approach for context reconciliation. The approach also focuses on the security breaches that threaten the integrity of the context of Web services, and proposes appropriate means to achieve this integrity. © 2005 Elsevier B.V. All rights reserved.Item Semantic web service selection based on service provider's business offerings(2009) D’Mello, D.A.; Ananthanarayana, V.S.Semantic Web service discovery finds a match between the service requirement and service advertisements based on the semantic descriptions. The matchmaking mechanism might find semantically similar Web services having same matching score. In this paper, the authors propose the semantic Web service selection mechanism which distinguishes semantically similar Web services based on the Quality of Service (QoS) and Business Offerings (BO). To realize the semantic Web service discovery and selection (ranking), we propose the semantic broker based Web service architecture which recommends the best match for the requester based on the requested functionality, quality and business offerings. The authors design the semantic broker which facilitates the provider to advertise the service by creating OWL-S service profile consisting information related to functionality, quality and business offerings. After the service advertisement, the broker computes and records matchmaking information to improve the performance (service query time) of discovery and selection process. The broker also reads requirements from the requester and finds the best (profitable) Web service by matching and ranking the advertised services based on the functionality, capability, quality and business offering.Item Crime base: Towards building a knowledge base for crime entities and their relationships from online news papers(Elsevier Ltd, 2019) Srinivasa, S.; Santhi Thilagam, P.In the current era of internet, information related to crime is scattered across many sources namely news media, social networks, blogs, and video repositories, etc. Crime reports published in online newspapers are often considered as reliable compared to crowdsourced data like social media and contain crime information not only in the form of unstructured text but also in the form of images. Given the volume and availability of crime-related information present in online newspapers, gathering and integrating crime entities from multiple modalities and representing them as a knowledge base in machine-readable form will be useful for any law enforcement agencies to analyze and prevent criminal activities. Extant research works to generate the crime knowledge base, does not address extraction of all non-redundant entities from text and image data present in multiple newspapers. Hence, this work proposes Crime Base, an entity relationship based system to extract and integrate crime related text and image data from online newspapers with a focus towards reducing duplicity and loss of information in the knowledge base. The proposed system uses a rule-based approach to extract the entities from text and image captions. The entities extracted from text data are correlated using contextual as-well-as semantic similarity measures and image entities are correlated using low-level and high-level image features. The proposed system also presents an integrated view of these entities and their relations in the form of a knowledge base using OWL. The system is tested for a collection of crime related articles from popular Indian online newspapers. © 2019 Elsevier Ltd