Distributed data models for many branches of e-science are essential for sharing the latest resea... more Distributed data models for many branches of e-science are essential for sharing the latest research results among the global community of academic and industrial workers in the field. However, the development of databases using these models is a daunting task for the average science researcher. In this paper, we report on our work to make this task easier to carry out, in particular we report on the set of tools and methodologies needed to develop and establish such databases in the field of bio-informatics, as an example which has witnessed great recent effort. These concentrate on the use of computer communications technologies such as XML, client-server, simple object access protocol (SOAP) and WebMethods GLUE
The availability of online documents that describe domain-specific information provides an opport... more The availability of online documents that describe domain-specific information provides an opportunity in employing a knowledge-based approach in extracting information from web data. This research proposes a novel comprehensive semantic knowledge-based framework that helps to transform unstructured data to be easily exploited by data scientists. The resultant sematic knowledgebase is reasoned to infer new facts and classify events that might be of importance to end users. The target use case for the framework implementation was the financial domain, which represents an important class of dynamic applications that require the modelling of non-binary relations. Such complex relations are becoming increasingly common in the era of linked open data. This research in modelling and reasoning upon such relations is a further contribution of the proposed semantic framework, where non-binary relations are semantically modelled by adapting the semantic reasoning axioms to fit the intermediat...
2006 8th International Conference Advanced Communication Technology, 2006
... Sensing and Control in Vehicular Ad-Hoc Networks Evtim Peytchev, Taha Osman, DavidAl-Dabass, ... more ... Sensing and Control in Vehicular Ad-Hoc Networks Evtim Peytchev, Taha Osman, DavidAl-Dabass, Michael Thomas, Shi Zhi School of Computing and Informatics, Nottingham Trent University, Burton Street, Nottingham NG1 4BU. UK david.al-dabassgdntu.ac.uk ...
The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005., 2005
Transport companies provide timetables, schedule and routes information accessible by Website, br... more Transport companies provide timetables, schedule and routes information accessible by Website, broachers and routes maps; this is excessive amount of data. The consumer needs to get information quickly and accurately from hand held devices rather than Websites. The research reported in this paper aims to provide a solution to this problem by developing a J2ME (Java 2 micro edition) application
Tenth International Conference on Computer Modeling and Simulation (uksim 2008), 2008
With the rapid proliferation of Web services as the medium of choice to securely publish applicat... more With the rapid proliferation of Web services as the medium of choice to securely publish application services beyond the firewall, the importance of accurate, yet flexible matchmaking of similar services gains importance both for the human user and for dynamic composition engines. In this ...
Emergent Web Intelligence: Advanced Information Retrieval, 2010
The proliferation of digital media has led to a huge interest in classifying and indexing media o... more The proliferation of digital media has led to a huge interest in classifying and indexing media objects for generic search and usage. In particular, we are witnessing colossal growth in digital image repositories that are difficult to navigate using free-text search mechanisms, which often return inaccurate matches as they typically rely on statistical analysis of query keyword recurrence in the image annotation or surrounding text. In this chapter we present a semantically enabled image annotation and retrieval engine that is designed to satisfy the requirements of commercial image collections market in terms of both accuracy and efficiency of the retrieval process. Our search engine relies on methodically structured ontologies for image annotation, thus allowing for more intelligent reasoning about the image content and subsequently obtaining a more accurate set of results and a richer set of alternatives matchmaking the original query. We also show how our well-analysed and designed domain ontology contributes to the implicit expansion of user queries as well as presenting our initial thoughts on exploiting lexical databases for explicit semantic-based query expansion.
This paper presents a fault tolerant environment (FTE) for the reliableexecution of application p... more This paper presents a fault tolerant environment (FTE) for the reliableexecution of application programs on a network of workstations.The FTE consists of an integrated error detection and fault recoverysystem that efficiently detects processor node crashes and hardwaretransient failures, and recovers user-processes from these faults usingcheckpointing and roll-back techniques.We present an attractive non-blocking, user-transparent, low overheadcheckpointing mechanism for roll-back...
EMBEDDED COMMUNICATION AND JAVA TECHNOLOGIES FOR TRAFFIC INFORMATION IN VEHICULAR AD HOC NETWORKS... more EMBEDDED COMMUNICATION AND JAVA TECHNOLOGIES FOR TRAFFIC INFORMATION IN VEHICULAR AD HOC NETWORKS Shi Zhi, Michael Thomas, Evtim Peytchev, Taha Osman,David Al-Dabass Intelligent Simulation and Modeling Group School of Computing and ...
This work presents an RDF graphstore implementation for all six modules of the GeoSPARQL standard... more This work presents an RDF graphstore implementation for all six modules of the GeoSPARQL standard using the Apache Jena Semantic Web library. Previous implementations have provided only partial coverage of the GeoSPARQL standard. There is discussion of the design and development of on-demand indexes to improve query performance without incurring lengthy data preparation delays. A supporting benchmarking framework is also discussed for the evaluation of any SPARQL compliant queries with interfaces provided for integrating additional test systems. This benchmarking framework is utilised to examine the performance of the implementation against two existing GeoSPARQL systems using the Geographica benchmark. It is found that the implementation achieves comparable or faster query responses than the alternative systems while also providing much faster dataset loading and initialisation durations.
The semantically complicated Arabic natural vocabulary, and the shortage of available techniques ... more The semantically complicated Arabic natural vocabulary, and the shortage of available techniques and skills to capture Arabic emotions from text hinder Arabic sentiment analysis (ASA). Evaluating Arabic idioms that do not follow a conventional linguistic framework, such as contemporary standard Arabic (MSA), complicates an incredibly difficult procedure. Here, we define a novel lexical sentiment analysis approach for studying Arabic language tweets (TTs) from specialized digital media platforms. Many elements comprising emoji, intensifiers, negations, and other nonstandard expressions such as supplications, proverbs, and interjections are incorporated into the MULDASA algorithm to enhance the precision of opinion classifications. Root words in multidialectal sentiment LX are associated with emotions found in the content under study via a simple stemming procedure. Furthermore, a feature–sentiment correlation procedure is incorporated into the proposed technique to exclude viewpoints...
ACM Transactions on Asian and Low-Resource Language Information Processing, 2020
Named Entity Recognition (NER) is a basic prerequisite of using Natural Language Processing (NLP)... more Named Entity Recognition (NER) is a basic prerequisite of using Natural Language Processing (NLP) for information retrieval. Arabic NER is especially challenging as the language is morphologically rich and has short vowels with no capitalisation convention. This article presents a novel rule-based approach that uses linguistic grammar-based techniques to extract Arabic composite names from Arabic text. Our approach uniquely exploits the genitive Arabic grammar rules; in particular, the rules regarding the identification of definite nouns (معرفة) and indefinite nouns (نكرة) to support the process of extracting composite names. Based on domain knowledge and Arabic Genitive Rules (AGR), the developed approach formalises a set of syntactical rules and linguistic patterns that initially use genitive patterns to classify definiteness within phrases and then extracts proper composite names from the unstructured text. The developed novel approach does not place any constraints on the length...
Distributed data models for many branches of e-science are essential for sharing the latest resea... more Distributed data models for many branches of e-science are essential for sharing the latest research results among the global community of academic and industrial workers in the field. However, the development of databases using these models is a daunting task for the average science researcher. In this paper, we report on our work to make this task easier to carry out, in particular we report on the set of tools and methodologies needed to develop and establish such databases in the field of bio-informatics, as an example which has witnessed great recent effort. These concentrate on the use of computer communications technologies such as XML, client-server, simple object access protocol (SOAP) and WebMethods GLUE
The availability of online documents that describe domain-specific information provides an opport... more The availability of online documents that describe domain-specific information provides an opportunity in employing a knowledge-based approach in extracting information from web data. This research proposes a novel comprehensive semantic knowledge-based framework that helps to transform unstructured data to be easily exploited by data scientists. The resultant sematic knowledgebase is reasoned to infer new facts and classify events that might be of importance to end users. The target use case for the framework implementation was the financial domain, which represents an important class of dynamic applications that require the modelling of non-binary relations. Such complex relations are becoming increasingly common in the era of linked open data. This research in modelling and reasoning upon such relations is a further contribution of the proposed semantic framework, where non-binary relations are semantically modelled by adapting the semantic reasoning axioms to fit the intermediat...
2006 8th International Conference Advanced Communication Technology, 2006
... Sensing and Control in Vehicular Ad-Hoc Networks Evtim Peytchev, Taha Osman, DavidAl-Dabass, ... more ... Sensing and Control in Vehicular Ad-Hoc Networks Evtim Peytchev, Taha Osman, DavidAl-Dabass, Michael Thomas, Shi Zhi School of Computing and Informatics, Nottingham Trent University, Burton Street, Nottingham NG1 4BU. UK david.al-dabassgdntu.ac.uk ...
The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005., 2005
Transport companies provide timetables, schedule and routes information accessible by Website, br... more Transport companies provide timetables, schedule and routes information accessible by Website, broachers and routes maps; this is excessive amount of data. The consumer needs to get information quickly and accurately from hand held devices rather than Websites. The research reported in this paper aims to provide a solution to this problem by developing a J2ME (Java 2 micro edition) application
Tenth International Conference on Computer Modeling and Simulation (uksim 2008), 2008
With the rapid proliferation of Web services as the medium of choice to securely publish applicat... more With the rapid proliferation of Web services as the medium of choice to securely publish application services beyond the firewall, the importance of accurate, yet flexible matchmaking of similar services gains importance both for the human user and for dynamic composition engines. In this ...
Emergent Web Intelligence: Advanced Information Retrieval, 2010
The proliferation of digital media has led to a huge interest in classifying and indexing media o... more The proliferation of digital media has led to a huge interest in classifying and indexing media objects for generic search and usage. In particular, we are witnessing colossal growth in digital image repositories that are difficult to navigate using free-text search mechanisms, which often return inaccurate matches as they typically rely on statistical analysis of query keyword recurrence in the image annotation or surrounding text. In this chapter we present a semantically enabled image annotation and retrieval engine that is designed to satisfy the requirements of commercial image collections market in terms of both accuracy and efficiency of the retrieval process. Our search engine relies on methodically structured ontologies for image annotation, thus allowing for more intelligent reasoning about the image content and subsequently obtaining a more accurate set of results and a richer set of alternatives matchmaking the original query. We also show how our well-analysed and designed domain ontology contributes to the implicit expansion of user queries as well as presenting our initial thoughts on exploiting lexical databases for explicit semantic-based query expansion.
This paper presents a fault tolerant environment (FTE) for the reliableexecution of application p... more This paper presents a fault tolerant environment (FTE) for the reliableexecution of application programs on a network of workstations.The FTE consists of an integrated error detection and fault recoverysystem that efficiently detects processor node crashes and hardwaretransient failures, and recovers user-processes from these faults usingcheckpointing and roll-back techniques.We present an attractive non-blocking, user-transparent, low overheadcheckpointing mechanism for roll-back...
EMBEDDED COMMUNICATION AND JAVA TECHNOLOGIES FOR TRAFFIC INFORMATION IN VEHICULAR AD HOC NETWORKS... more EMBEDDED COMMUNICATION AND JAVA TECHNOLOGIES FOR TRAFFIC INFORMATION IN VEHICULAR AD HOC NETWORKS Shi Zhi, Michael Thomas, Evtim Peytchev, Taha Osman,David Al-Dabass Intelligent Simulation and Modeling Group School of Computing and ...
This work presents an RDF graphstore implementation for all six modules of the GeoSPARQL standard... more This work presents an RDF graphstore implementation for all six modules of the GeoSPARQL standard using the Apache Jena Semantic Web library. Previous implementations have provided only partial coverage of the GeoSPARQL standard. There is discussion of the design and development of on-demand indexes to improve query performance without incurring lengthy data preparation delays. A supporting benchmarking framework is also discussed for the evaluation of any SPARQL compliant queries with interfaces provided for integrating additional test systems. This benchmarking framework is utilised to examine the performance of the implementation against two existing GeoSPARQL systems using the Geographica benchmark. It is found that the implementation achieves comparable or faster query responses than the alternative systems while also providing much faster dataset loading and initialisation durations.
The semantically complicated Arabic natural vocabulary, and the shortage of available techniques ... more The semantically complicated Arabic natural vocabulary, and the shortage of available techniques and skills to capture Arabic emotions from text hinder Arabic sentiment analysis (ASA). Evaluating Arabic idioms that do not follow a conventional linguistic framework, such as contemporary standard Arabic (MSA), complicates an incredibly difficult procedure. Here, we define a novel lexical sentiment analysis approach for studying Arabic language tweets (TTs) from specialized digital media platforms. Many elements comprising emoji, intensifiers, negations, and other nonstandard expressions such as supplications, proverbs, and interjections are incorporated into the MULDASA algorithm to enhance the precision of opinion classifications. Root words in multidialectal sentiment LX are associated with emotions found in the content under study via a simple stemming procedure. Furthermore, a feature–sentiment correlation procedure is incorporated into the proposed technique to exclude viewpoints...
ACM Transactions on Asian and Low-Resource Language Information Processing, 2020
Named Entity Recognition (NER) is a basic prerequisite of using Natural Language Processing (NLP)... more Named Entity Recognition (NER) is a basic prerequisite of using Natural Language Processing (NLP) for information retrieval. Arabic NER is especially challenging as the language is morphologically rich and has short vowels with no capitalisation convention. This article presents a novel rule-based approach that uses linguistic grammar-based techniques to extract Arabic composite names from Arabic text. Our approach uniquely exploits the genitive Arabic grammar rules; in particular, the rules regarding the identification of definite nouns (معرفة) and indefinite nouns (نكرة) to support the process of extracting composite names. Based on domain knowledge and Arabic Genitive Rules (AGR), the developed approach formalises a set of syntactical rules and linguistic patterns that initially use genitive patterns to classify definiteness within phrases and then extracts proper composite names from the unstructured text. The developed novel approach does not place any constraints on the length...
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