Shantha Jayalal | University of Kelaniya (original) (raw)

Papers by Shantha Jayalal

2022 2nd International Conference on Advanced Research in Computing (ICARC)

Sinhala is the main language that is being used by over 75% of people as the first language and n... more Sinhala is the main language that is being used by over 75% of people as the first language and nearly 20% of people as a second language. Also, the Sinhala script is used to communicate and do official and non-official works all over Sri Lanka. Because of the technology developed in the world new trend was begin that digitalize printed documents because digitalizing documents are safe, easy to find, and can create editable files easily. Recognizing Sinhala characters are more complex mainly because of the shape and the character similarity. When digitalizing Sinhala printed documents using machine-trained models, it’s hard to detect similar characters with multi-style. Past researches are also done for printed Sinhala character recognition but for the training and testing, they used regular font styles only. The problem of those researches is whether the recognition was successfully done or not when testing special font styles like bold, italic, and underline characters. The objective of this research is to recognize multi-style printed Sinhala characters with their features using an Artificial Neural Network (ANN) based on Universe of Discourse and Self Organization Map methods. The developed model is tested with MATLAB 2015. Overall character recognition accuracy is over 85%. Normal Sinhala character recognition accuracy is the same as previous researches (over 90) but fonts with feature recognition accuracy levels have been increased over 80%.

2020 Moratuwa Engineering Research Conference (MERCon), 2020

Due to technological revolution over the years, bullying which was confined to physical boundarie... more Due to technological revolution over the years, bullying which was confined to physical boundaries has now moved online. Denigration or insult is one form of cyberbullying. According to Sri Lanka Computer Emergency Readiness Team, social media cyberbullying incidents are escalating. Insulting words are dynamic, and same word can have several meanings according to the context. Simply because a comment contains such a word, it cannot be classified as bullying. Hence, when labeling comments, simple keyword spotting techniques are inadequate. Other languages have addressed this issue using lexical databases such as WordNet which provides synonyms and homonyms of words. Since there is no proper lexical database developed for Sinhala language, detecting a word as bullying is a challenge. Therefore, we used rules to overcome this issue. Twitter comments with profane words were collected, outliers were removed, and remaining tweets were pre-processed. To determine insult in the text, five rules were used for feature extraction. Afterward, we applied Support Vector Machine (SVM), K-nearest neighbor (KNN) and Naïve Bayes algorithms. The results show that SVM with an RBF kernel performs better with an F1-score of 91%. Novelty of this research is the focus on Sinhala language cyberbully detection which has not been addressed before.

With increasing numbers of Web users, there is a necessity to improve their Web site navigation e... more With increasing numbers of Web users, there is a necessity to improve their Web site navigation experience over the Internet and a range of Web applications have emerged recently for this purpose. Many researchers have stressed the importance of identifying semantic relatedness of Web pages in such Web applications as Web site navigation, automatic tour generation and adaptive Web applications. One approach to identifying semantic relatedness between documents is to use lexical databases and lexical chains. For example, an approach using lexical chains has been proposed by Green for identifying paragraph similarity in a document [1]. However, due to the unacceptable length of time needed for lexical chaining and the difficulty of global representation of documents, Green used synset weight vectors to compare semantic relatedness between two documents. But his approach to identifying paragraph similarities can be extended to identify semantic similarities between documents. In this study, an approach to identifying semantic similarity between Web pages incorporating weighted lexical chains (SR WLC) and document properties based on reiteration, density, length and semantic distance is proposed. The two approaches (the proposed approach and Green's approach-SR Green) were empirically compared by determining the semantic relatedness of Web pages using human subjects. The research hypothesis of this research is that the proposed approach identifies significantly more semantically related pages with a higher precision than the approach that has been proposed by Green. The null hypothesis is that there is no significant different in identification of semantically related pages between the two approaches. In this context precision is defined as the proportion of retrieved pages that are relevant. Web pages belonging to the Department of Computer Science, Keele University are used for the empirical evaluation of the two methods. The semantic relatedness of all pages was identified using both approaches and a Webbased page categorisation exercise using human subjects was carried out for this empirical evaluation. The evaluation is Web based, and therefore can be carried out on the subjects' preferred Web browser at his or her preferred time & place. Therefore the distortion effects are minimised and the results of the evaluation are realistic and also can be reliably generalised to some extent. An invitation e-mail was sent to twenty subjects during the first week of October 2004 giving a link and guidelines for them to start the experiment. Once the link on the email was clicked, subjects were shown the initial Web page, giving an introduction to the experiment and instructions on how to continue. Twelve out of twenty invited subjects completed the experiment. Two subjects attempted the experiments but couldn't finish because of network problems; another three subjects couldn't finish because of time restrictions, and the other three subjects did not respond at all. Therefore responses from only twelve subjects are used for experimental evaluation. The Wilcoxon signed ranks test returns a p value of 0.004, indicating that the null hypothesis can be rejected, and that there is evidence to suggest that the SR WLC approach identifies significantly more semantically-related pages with higher precision than the SR Green approach. The SR WLC approach should be evaluated further using different Web site contents and language styles (e.g. American/British English). It would be interesting to use more subjects from different backgrounds to do the evaluation. This would determine whether the results of the evaluation are influenced by the human subject's background, such as their status (student, staff, or other) his familiarity with the pages of the test database, gender differences or the level of English knowledge. Most importantly the approach is believed to be valid for more general browsing environments than a computer science Website and a wider study is desirable.

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer), 2015

An analysis was done on the work performance of IT professionals in Sri Lanka and its relationshi... more An analysis was done on the work performance of IT professionals in Sri Lanka and its relationship to their usage of social networking sites using formal methods of statistical analysis based on the responses to a questionnaire.

Web based learning systems and web based learning materials (WBLM) have been introduced with the ... more Web based learning systems and web based learning materials (WBLM) have been introduced with the expansion of the Internet. In Sri Lanka, many higher education institutions use web based learning systems such as MOODLE and WBLM for teaching purposes. The success of this depends on the usability of both web based learning systems and WBLM. Although much has been written on the usability of web based learning systems, literature on usability of WBLM is rare. This research, focused on the usability of WBLM, attempts to identify the relationship between the material type and usability of web based learning material identified in terms of nine factors. Four individual material types and six combined material types are selected for the experiment. The selected teaching module for the experiment is Web Design for the students of the Advanced Technological Institute Kegalle. The most usable WBLM type is identified as Presentation & Video combined material type. By using a questionnaire survey the factors were prioritized according to their importance as Applicability, Material type, Goal orientation, Feedback, Added value, Valuation of previous knowledge, Learner activity, Learner control and Cooperative learning. The findings of the study would be helpful to formulate a set of guidelines to develop a WBLM for Higher Education.

In Sri Lanka, as in other developing countries community development is considered as the develop... more In Sri Lanka, as in other developing countries community development is considered as the development of the rural poor. It is estimated that 88% of the poor communities live in rural areas in Sri Lanka. Rural entrepreneur is a crucial entity of the rural community. As far as the economic development is concerned it is important to address their needs and problems when bridging the gap between poor and rich. A policy strategy recognizing the

2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS), 2012

ABSTRACT Ontologies are extensively used to strcuture the domain knowledge. Nowadays, with the la... more ABSTRACT Ontologies are extensively used to strcuture the domain knowledge. Nowadays, with the large amount of ontologies already available, there is a high demand for reusing the knowledge in existing ontologies. Since ontologies are complex structures, sharing of knowledge coming from various ontologies has become a tedious task. Ontology alignment is a popular knowledge sharing technique that is used to share information between heterogeneous information systems. There are numerous techniques for the alignment of ontologies, and the field still faces many challenges. Due to the inherent nature of multiple relationships among the ontologies, it postulates that the Multi-Agent System technology is a better technology to automate the ontology alignment with little human intervention. This paper presents multi-agent based approach for ontology alignment developed as a plug in for the popular ontological modelling environment known as Protégé. It simulates how different processes interactively operate inside the human mind to perform certain activities intelligently. Indeed, the proposed solution uses agent communication, negotiation, and coordination as the primary method of exploring the semantic relationships between the ontologies. The generated ontology could be used as a shared understanding between information systems that are running on input ontologies. The success of the proposed approach was evaluated by using two ontologies of agricultural domain. It was evident that the system could discover over 70% accurate semantic relationships, and thus, the authors claim that the proposed approach could resolve the complexity in ontology alignment for certain extend.

International Conference on Advances in ICT for Emerging Regions (ICTer2012), 2012

Modern information systems extensively use ontologies to model domain knowledge. With the large a... more Modern information systems extensively use ontologies to model domain knowledge. With the large amount of already available ontologies, there is a high demand for sharing and reusing the knowledge in existing ontologies. Since ontologies are complex structures, sharing of knowledge coming from various ontologies has become a tedious task. This has resulted in the birth of research area called ontology alignment. There are numerous techniques for the alignment of ontologies, and the field still faces many challenges. Due to the inherent nature of multiple relationships among the ontologies, it postulates that the Multi-Agent System technology is a better technology to automate the ontology alignment with little human intervention. This paper presents multi-agent based approach for ontology alignment, developed as a plugin for the popular ontological modelling environment known as Protégé. It simulates how different processes interactively operate inside the human mind to perform certain activities intelligently. Indeed, the proposed solution uses agent communication, negotiation, and coordination as the primary method of exploring the semantic relationships between the ontologies. The system accepts ontologies maintained in any major form of ontology representation languages as its inputs, and generates ontology with new semantic relationships as its output. The generated ontology could be used as a shared understanding between information systems that are running on input ontologies. The success of the proposed approach was evaluated by using ontologies of conference organizing and agricultural domains. It was evident that the system could discover over 70% accurate relationships, and thus, the authors claim that the proposed approach could resolve the complexity in ontology alignment.

International Conference on Advances in ICT for Emerging Regions (ICTer2012), 2012

ABSTRACT Design of a new curriculum and revision of an existing curriculum are considered as tedi... more ABSTRACT Design of a new curriculum and revision of an existing curriculum are considered as tedious tasks for academics. This process requires considerable amount of man hours from subject matter experts in several areas. In this paper, we present a human-assisted semi-automated solution for the design and revision of curricula for degree programmes. We postulate the curriculum design and revision as an ontology modelling process. The solution has been developed as a plug-in, named as OntoCD, for the popular ontological modelling environment, Protégé. A curriculum developer can customize OntoCD by introducing benchmark domain ontology of a certain degree, and loading a skeleton curriculum for the intended degree programme. Alternatively, the domain ontology can be used to design a curriculum on the visual interface provided, and proceed to improve it. The developer can also use OntoCD to load a known curriculum and to do the modification to align with the benchmark domain ontology. The power of OntoCD exemplifies during the process of editing and improving a curriculum. In this process, OntoCD handles many tasks including the credit balancing with core and elective modules, guidance to choose elective modules to meet local needs and resolving name confusions of modules by ensuring an identity of a degree within the respective area. At this stage, OntoCD has been informally tested by designing a Computer Science degree curriculum according to benchmark domain ontology of ACM/IEEE guidelines for computing degrees. The results show that OntoCD guides the developer by reducing the burden due to clerical mistakes, oversights and negligence of some aspects in the development process.

International Journal of Web Engineering and Technology, 2007

Int. J. Web Engineering and Technology, Vol. 3, No. 3, 2007 ... Website link prediction using a M... more Int. J. Web Engineering and Technology, Vol. 3, No. 3, 2007 ... Website link prediction using a Markov chain model based on multiple time periods ... Department of Industrial Management University of Keleniya Dalugama, Sri Lanka E-mail: shantha@kln.ac.lk *Corresponding ...

Towards an ICT enabled Society, 2003

Web Site Visualisation as a User Navigation Aid Shantha Jayalal Pearl Brereton Chris Hawksley Dep... more Web Site Visualisation as a User Navigation Aid Shantha Jayalal Pearl Brereton Chris Hawksley Department of Computer Science, Keele University Keele, Staffordshire, ST5 5BG, United Kingdom {shantha, op brereton, chris}@ cs. keele. ac. uk Abstract As e-society develops, web sites ...

In the agricultural domain, different authorities have already developed their own ontologies and... more In the agricultural domain, different authorities have already developed their own ontologies and maintain them locally. However, for semantic tools to use these ontologies effectively on distributed environments, ontologies should be shared and aligned. Ontology alignment is an ontology mapping technique, which is used for sharing and reusing the content of disparate source of ontologies. Aligning dynamic and distributed ontologies turn out to be a research challenge for many decades. This paper discusses the complexity of the ontology alignment process and presents how the agent technology can be used to align dynamic ontologies in distributed environments. Our solution is inspired by how group of farmers communicate, negotiate, and coordinate to reach in common agreements. Our system is successfully used to align two dynamic ontologies describing agricultural crops.

2013 IEEE 8th International Conference on Industrial and Information Systems, 2013

ABSTRACT The extent of the successfulness of a construction project is highly influential on the ... more ABSTRACT The extent of the successfulness of a construction project is highly influential on the selected contractor. The decision process has been made easier for the client with the use of prequalification. The selection criteria used for the prequalification are characterized by the co-existence of both quantitative and qualitative information. Therefore in such scenario, it become difficult to analyze the information by decision maker due to the complexity bound to the process. Hence, to improve the reliability and efficiency of the decision being made, it is essential to identify suitable decision support system for the process. The use of Artificial Intelligence (AI) techniques to the prequalification process helps to eliminate the complexity on the decision making of the prequalification process. This research demonstrates the practicality and the suitability on adopting Artificial Neural Network (ANN), Case-based Reasoning (CBR) and Knowledge Based Experts Systems (KBES) to the highway contractor prequalification in Sri Lanka. Therefore, the findings of this research conclude that with the help on identified prequalification model and the identified AI techniques, Sri Lanka can have an effective and efficient mechanism on Highway contractor prequalification.

2022 2nd International Conference on Advanced Research in Computing (ICARC)

Sinhala is the main language that is being used by over 75% of people as the first language and n... more Sinhala is the main language that is being used by over 75% of people as the first language and nearly 20% of people as a second language. Also, the Sinhala script is used to communicate and do official and non-official works all over Sri Lanka. Because of the technology developed in the world new trend was begin that digitalize printed documents because digitalizing documents are safe, easy to find, and can create editable files easily. Recognizing Sinhala characters are more complex mainly because of the shape and the character similarity. When digitalizing Sinhala printed documents using machine-trained models, it’s hard to detect similar characters with multi-style. Past researches are also done for printed Sinhala character recognition but for the training and testing, they used regular font styles only. The problem of those researches is whether the recognition was successfully done or not when testing special font styles like bold, italic, and underline characters. The objective of this research is to recognize multi-style printed Sinhala characters with their features using an Artificial Neural Network (ANN) based on Universe of Discourse and Self Organization Map methods. The developed model is tested with MATLAB 2015. Overall character recognition accuracy is over 85%. Normal Sinhala character recognition accuracy is the same as previous researches (over 90) but fonts with feature recognition accuracy levels have been increased over 80%.

2020 Moratuwa Engineering Research Conference (MERCon), 2020

Due to technological revolution over the years, bullying which was confined to physical boundarie... more Due to technological revolution over the years, bullying which was confined to physical boundaries has now moved online. Denigration or insult is one form of cyberbullying. According to Sri Lanka Computer Emergency Readiness Team, social media cyberbullying incidents are escalating. Insulting words are dynamic, and same word can have several meanings according to the context. Simply because a comment contains such a word, it cannot be classified as bullying. Hence, when labeling comments, simple keyword spotting techniques are inadequate. Other languages have addressed this issue using lexical databases such as WordNet which provides synonyms and homonyms of words. Since there is no proper lexical database developed for Sinhala language, detecting a word as bullying is a challenge. Therefore, we used rules to overcome this issue. Twitter comments with profane words were collected, outliers were removed, and remaining tweets were pre-processed. To determine insult in the text, five rules were used for feature extraction. Afterward, we applied Support Vector Machine (SVM), K-nearest neighbor (KNN) and Naïve Bayes algorithms. The results show that SVM with an RBF kernel performs better with an F1-score of 91%. Novelty of this research is the focus on Sinhala language cyberbully detection which has not been addressed before.

With increasing numbers of Web users, there is a necessity to improve their Web site navigation e... more With increasing numbers of Web users, there is a necessity to improve their Web site navigation experience over the Internet and a range of Web applications have emerged recently for this purpose. Many researchers have stressed the importance of identifying semantic relatedness of Web pages in such Web applications as Web site navigation, automatic tour generation and adaptive Web applications. One approach to identifying semantic relatedness between documents is to use lexical databases and lexical chains. For example, an approach using lexical chains has been proposed by Green for identifying paragraph similarity in a document [1]. However, due to the unacceptable length of time needed for lexical chaining and the difficulty of global representation of documents, Green used synset weight vectors to compare semantic relatedness between two documents. But his approach to identifying paragraph similarities can be extended to identify semantic similarities between documents. In this study, an approach to identifying semantic similarity between Web pages incorporating weighted lexical chains (SR WLC) and document properties based on reiteration, density, length and semantic distance is proposed. The two approaches (the proposed approach and Green's approach-SR Green) were empirically compared by determining the semantic relatedness of Web pages using human subjects. The research hypothesis of this research is that the proposed approach identifies significantly more semantically related pages with a higher precision than the approach that has been proposed by Green. The null hypothesis is that there is no significant different in identification of semantically related pages between the two approaches. In this context precision is defined as the proportion of retrieved pages that are relevant. Web pages belonging to the Department of Computer Science, Keele University are used for the empirical evaluation of the two methods. The semantic relatedness of all pages was identified using both approaches and a Webbased page categorisation exercise using human subjects was carried out for this empirical evaluation. The evaluation is Web based, and therefore can be carried out on the subjects' preferred Web browser at his or her preferred time & place. Therefore the distortion effects are minimised and the results of the evaluation are realistic and also can be reliably generalised to some extent. An invitation e-mail was sent to twenty subjects during the first week of October 2004 giving a link and guidelines for them to start the experiment. Once the link on the email was clicked, subjects were shown the initial Web page, giving an introduction to the experiment and instructions on how to continue. Twelve out of twenty invited subjects completed the experiment. Two subjects attempted the experiments but couldn't finish because of network problems; another three subjects couldn't finish because of time restrictions, and the other three subjects did not respond at all. Therefore responses from only twelve subjects are used for experimental evaluation. The Wilcoxon signed ranks test returns a p value of 0.004, indicating that the null hypothesis can be rejected, and that there is evidence to suggest that the SR WLC approach identifies significantly more semantically-related pages with higher precision than the SR Green approach. The SR WLC approach should be evaluated further using different Web site contents and language styles (e.g. American/British English). It would be interesting to use more subjects from different backgrounds to do the evaluation. This would determine whether the results of the evaluation are influenced by the human subject's background, such as their status (student, staff, or other) his familiarity with the pages of the test database, gender differences or the level of English knowledge. Most importantly the approach is believed to be valid for more general browsing environments than a computer science Website and a wider study is desirable.

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer), 2015

An analysis was done on the work performance of IT professionals in Sri Lanka and its relationshi... more An analysis was done on the work performance of IT professionals in Sri Lanka and its relationship to their usage of social networking sites using formal methods of statistical analysis based on the responses to a questionnaire.

Web based learning systems and web based learning materials (WBLM) have been introduced with the ... more Web based learning systems and web based learning materials (WBLM) have been introduced with the expansion of the Internet. In Sri Lanka, many higher education institutions use web based learning systems such as MOODLE and WBLM for teaching purposes. The success of this depends on the usability of both web based learning systems and WBLM. Although much has been written on the usability of web based learning systems, literature on usability of WBLM is rare. This research, focused on the usability of WBLM, attempts to identify the relationship between the material type and usability of web based learning material identified in terms of nine factors. Four individual material types and six combined material types are selected for the experiment. The selected teaching module for the experiment is Web Design for the students of the Advanced Technological Institute Kegalle. The most usable WBLM type is identified as Presentation & Video combined material type. By using a questionnaire survey the factors were prioritized according to their importance as Applicability, Material type, Goal orientation, Feedback, Added value, Valuation of previous knowledge, Learner activity, Learner control and Cooperative learning. The findings of the study would be helpful to formulate a set of guidelines to develop a WBLM for Higher Education.

In Sri Lanka, as in other developing countries community development is considered as the develop... more In Sri Lanka, as in other developing countries community development is considered as the development of the rural poor. It is estimated that 88% of the poor communities live in rural areas in Sri Lanka. Rural entrepreneur is a crucial entity of the rural community. As far as the economic development is concerned it is important to address their needs and problems when bridging the gap between poor and rich. A policy strategy recognizing the

2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS), 2012

ABSTRACT Ontologies are extensively used to strcuture the domain knowledge. Nowadays, with the la... more ABSTRACT Ontologies are extensively used to strcuture the domain knowledge. Nowadays, with the large amount of ontologies already available, there is a high demand for reusing the knowledge in existing ontologies. Since ontologies are complex structures, sharing of knowledge coming from various ontologies has become a tedious task. Ontology alignment is a popular knowledge sharing technique that is used to share information between heterogeneous information systems. There are numerous techniques for the alignment of ontologies, and the field still faces many challenges. Due to the inherent nature of multiple relationships among the ontologies, it postulates that the Multi-Agent System technology is a better technology to automate the ontology alignment with little human intervention. This paper presents multi-agent based approach for ontology alignment developed as a plug in for the popular ontological modelling environment known as Protégé. It simulates how different processes interactively operate inside the human mind to perform certain activities intelligently. Indeed, the proposed solution uses agent communication, negotiation, and coordination as the primary method of exploring the semantic relationships between the ontologies. The generated ontology could be used as a shared understanding between information systems that are running on input ontologies. The success of the proposed approach was evaluated by using two ontologies of agricultural domain. It was evident that the system could discover over 70% accurate semantic relationships, and thus, the authors claim that the proposed approach could resolve the complexity in ontology alignment for certain extend.

International Conference on Advances in ICT for Emerging Regions (ICTer2012), 2012

Modern information systems extensively use ontologies to model domain knowledge. With the large a... more Modern information systems extensively use ontologies to model domain knowledge. With the large amount of already available ontologies, there is a high demand for sharing and reusing the knowledge in existing ontologies. Since ontologies are complex structures, sharing of knowledge coming from various ontologies has become a tedious task. This has resulted in the birth of research area called ontology alignment. There are numerous techniques for the alignment of ontologies, and the field still faces many challenges. Due to the inherent nature of multiple relationships among the ontologies, it postulates that the Multi-Agent System technology is a better technology to automate the ontology alignment with little human intervention. This paper presents multi-agent based approach for ontology alignment, developed as a plugin for the popular ontological modelling environment known as Protégé. It simulates how different processes interactively operate inside the human mind to perform certain activities intelligently. Indeed, the proposed solution uses agent communication, negotiation, and coordination as the primary method of exploring the semantic relationships between the ontologies. The system accepts ontologies maintained in any major form of ontology representation languages as its inputs, and generates ontology with new semantic relationships as its output. The generated ontology could be used as a shared understanding between information systems that are running on input ontologies. The success of the proposed approach was evaluated by using ontologies of conference organizing and agricultural domains. It was evident that the system could discover over 70% accurate relationships, and thus, the authors claim that the proposed approach could resolve the complexity in ontology alignment.

International Conference on Advances in ICT for Emerging Regions (ICTer2012), 2012

ABSTRACT Design of a new curriculum and revision of an existing curriculum are considered as tedi... more ABSTRACT Design of a new curriculum and revision of an existing curriculum are considered as tedious tasks for academics. This process requires considerable amount of man hours from subject matter experts in several areas. In this paper, we present a human-assisted semi-automated solution for the design and revision of curricula for degree programmes. We postulate the curriculum design and revision as an ontology modelling process. The solution has been developed as a plug-in, named as OntoCD, for the popular ontological modelling environment, Protégé. A curriculum developer can customize OntoCD by introducing benchmark domain ontology of a certain degree, and loading a skeleton curriculum for the intended degree programme. Alternatively, the domain ontology can be used to design a curriculum on the visual interface provided, and proceed to improve it. The developer can also use OntoCD to load a known curriculum and to do the modification to align with the benchmark domain ontology. The power of OntoCD exemplifies during the process of editing and improving a curriculum. In this process, OntoCD handles many tasks including the credit balancing with core and elective modules, guidance to choose elective modules to meet local needs and resolving name confusions of modules by ensuring an identity of a degree within the respective area. At this stage, OntoCD has been informally tested by designing a Computer Science degree curriculum according to benchmark domain ontology of ACM/IEEE guidelines for computing degrees. The results show that OntoCD guides the developer by reducing the burden due to clerical mistakes, oversights and negligence of some aspects in the development process.

International Journal of Web Engineering and Technology, 2007

Int. J. Web Engineering and Technology, Vol. 3, No. 3, 2007 ... Website link prediction using a M... more Int. J. Web Engineering and Technology, Vol. 3, No. 3, 2007 ... Website link prediction using a Markov chain model based on multiple time periods ... Department of Industrial Management University of Keleniya Dalugama, Sri Lanka E-mail: shantha@kln.ac.lk *Corresponding ...

Towards an ICT enabled Society, 2003

Web Site Visualisation as a User Navigation Aid Shantha Jayalal Pearl Brereton Chris Hawksley Dep... more Web Site Visualisation as a User Navigation Aid Shantha Jayalal Pearl Brereton Chris Hawksley Department of Computer Science, Keele University Keele, Staffordshire, ST5 5BG, United Kingdom {shantha, op brereton, chris}@ cs. keele. ac. uk Abstract As e-society develops, web sites ...

In the agricultural domain, different authorities have already developed their own ontologies and... more In the agricultural domain, different authorities have already developed their own ontologies and maintain them locally. However, for semantic tools to use these ontologies effectively on distributed environments, ontologies should be shared and aligned. Ontology alignment is an ontology mapping technique, which is used for sharing and reusing the content of disparate source of ontologies. Aligning dynamic and distributed ontologies turn out to be a research challenge for many decades. This paper discusses the complexity of the ontology alignment process and presents how the agent technology can be used to align dynamic ontologies in distributed environments. Our solution is inspired by how group of farmers communicate, negotiate, and coordinate to reach in common agreements. Our system is successfully used to align two dynamic ontologies describing agricultural crops.

2013 IEEE 8th International Conference on Industrial and Information Systems, 2013

ABSTRACT The extent of the successfulness of a construction project is highly influential on the ... more ABSTRACT The extent of the successfulness of a construction project is highly influential on the selected contractor. The decision process has been made easier for the client with the use of prequalification. The selection criteria used for the prequalification are characterized by the co-existence of both quantitative and qualitative information. Therefore in such scenario, it become difficult to analyze the information by decision maker due to the complexity bound to the process. Hence, to improve the reliability and efficiency of the decision being made, it is essential to identify suitable decision support system for the process. The use of Artificial Intelligence (AI) techniques to the prequalification process helps to eliminate the complexity on the decision making of the prequalification process. This research demonstrates the practicality and the suitability on adopting Artificial Neural Network (ANN), Case-based Reasoning (CBR) and Knowledge Based Experts Systems (KBES) to the highway contractor prequalification in Sri Lanka. Therefore, the findings of this research conclude that with the help on identified prequalification model and the identified AI techniques, Sri Lanka can have an effective and efficient mechanism on Highway contractor prequalification.