This paper presents an approach of semantic web technologies applied in data integration for gram-positive bacteria organism, Lactococcus lactis subsp. cremoris strain MG1363 (L. lactis). L. lactis data sources are he...
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This paper presents an approach of semantic web technologies applied in data integration for gram-positive bacteria organism, Lactococcus lactis subsp. cremoris strain MG1363 (L. lactis). L. lactis data sources are heterogeneous and not semantically connected among cross-references databases. Researchers continuously study and perform scientific experiments related to modeling and simulation to produce result in order to improve protein and vitamin production using this organism. The goal of this work is to construct an integration approach for bacteria organism L. lactis that correctly combines biological databases using semantic web and ontology, thus allows biological question to be answered using queries (e.g. SPARQL). In this paper, we demonstrate how semantic web components such as Ontology Web Language (OWL) and Resource Description Framework (RDF) can be used to represent and integrate these resources. Gene, protein, pathway and ontology are main sources to make this organism semantically integrated. The sources are acquired from Entrez Gene (EG), Universal Protein Resource (UniProt), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO). We illustrate the result of our approach by presenting semantically connected knowledge instances from gene, protein, pathway and ontology data sources by using identifier. In addition, this integrated organism is vital which can lead for further analysis and hypothesis formulation in biological research.
Advances in medical care and computer technology in recent decades have expanded the parameters of the traditional domain of medical services. This scenario has created new opportunities for building applications to p...
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Advances in medical care and computer technology in recent decades have expanded the parameters of the traditional domain of medical services. This scenario has created new opportunities for building applications to provide enterprise services in an efficient, diverse and highly dynamic environment. Yet the involvement of multiple factors in healthcare systems, such as diverse professionals and embedded devices, has made IT-based healthcare systems expensive, competitive and complex. The deployment of different programming languages, platforms and data management standards has led to restrictions in flawless exchange, integration and reuse of information across different systems. In this regard, service-oriented architecture (SOA) is an advanced methodology that can be used for developing loosely coupled, dynamic, flexible, distributed and cost-effective applications. SOA relies on services and can handle complexity and heterogeneity with the help of ontologies. In this paper, we show our development of domain ontology for the effective handling of IT-based healthcare system problems especially during an emergency.
Mining weighted least association rules has been an increasing demand in data mining research. However, mining these types of rules often facing with difficulties especially in identifying which rules are really inter...
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Mining frequent patterns in a large database is still an important and relevant topic in data mining. Nowadays, FP-Growth is one of the famous and benchmarked algorithms to mine the frequent patterns from FP-Tree data...
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One of the popular and compact trie data structure to represent frequent patterns is via frequent pattern tree (FP-Tree). There are two scanning processes involved in the original database before the FP-Tree can be co...
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This paper discusses on Malay language anaphor and antecedent candidate determination using the knowledge-poor techniques. The process to determine the candidate for anaphor and antecedent is important because the usa...
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Introduced is a new algorithm for the classification of numerical data using the theory of fuzzy soft set, named Fuzzy Soft Set Classifier (FSSC). The algorithm uses the fuzzy approach in the pre-processing stage to o...
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One of the main expectations of Web surfers is the inclusion of accurate and fresh result set in search engines' outcomes. Moreover, regarding the limited time and patience of nowadays Web users, they need to be a...
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One of the main expectations of Web surfers is the inclusion of accurate and fresh result set in search engines' outcomes. Moreover, regarding the limited time and patience of nowadays Web users, they need to be advised on the significance of the Web domain they entered. Due to the exponentially growing and dynamic nature of the World Wide Web, considering these demands for Web crawlers with the existing Web page ranking and importance calculation methods are unachievable, expensive or time-consuming. Therefore, proposing novel heuristics in order to empower the search answer set is the concern of many researchers in this area. In this paper, we employ our previously proposed novel Web page importance metric of LogRank in order to calculate Web site significance value and to include the newly uploaded or infant Web pages into search result set to meet the mentioned expectations of Web surfers. We append our experiment on above matters through analyzing UTM University server log file and over UTM University Web domain.
Information extraction of the Web and more precise ranking methods of Web pages are among the open issues in search engines' research area due to the ever-growing and dynamic nature of the World Wide Web. Therefor...
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Information extraction of the Web and more precise ranking methods of Web pages are among the open issues in search engines' research area due to the ever-growing and dynamic nature of the World Wide Web. Therefore, proposing novel approaches or performing any enhancement to the existed algorithms is the concern of many researchers in this field. Since the performance of any Web crawler is highly dependent to the applied Web page importance metric and regarding the obstacles of existed link-dependent or context-based metrics, the innovative heuristics that guarantees the accuracy of search results and better employment of resources is highly on demand. This paper introduces a novel link independent clickstream-based Web page importance metric, illustrates the metric's effectiveness through experimentally testing it over the UTM University Web domain and evaluates the results with information retrieval evaluation measures.
An integration of aspect orientation and model-driven engineering is expected to enhance software development from many perspectives. Different approaches for this integration have already appeared in literature. In g...
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An integration of aspect orientation and model-driven engineering is expected to enhance software development from many perspectives. Different approaches for this integration have already appeared in literature. In general, all such approaches use aspect-oriented model as the primary artifact and apply different techniques to obtain an executable from it. In this study we have provided a survey of existing research in this context by conducting a systematic mapping study. Classification schemes were defined and 38 selected primary studies were classified on the basis of research focus, contribution type and research type. Results show that solutions proposals are in a majority and current research has mainly focused on using model weavers for the integration (81% versus 19% code generation approaches). The majority of contributions are methods.
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