Implementing an Active Database for Maintaining Asset Data

Kasbon, Rozana; Shaharom, Sofia; Mazlan, Eliza Mazmee; Mahamad, Saipunidzam

doi:10.1007/978-3-642-25349-2_14

Cited by 2 publications

(5 citation statements)

References 7 publications

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“…However, improvement still needs to be done in order to reduce the number of error such as finding a formula on how to rank the alternative words based on the context of the word. In order to do that, we may need a lexicon Malay dictionary that consists of Malay word and its type of category [4]. Besides that, we may add some rules in order to detect and correct the affixed English word, the loan word and also to improve the stemming process as already discussed in [3].…”

Section: Discussionmentioning

confidence: 99%

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Automatic spell checker for Malay blog

Basri

Alfred

2012

2012 IEEE International Conference on Control System, Computing and Engineering

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Spell checker is a system that is used to detect and correct misspelled word. Misspelled word is a word that exists in the existing lexicon that is not correctly spelled or in shortened form. These misspelled words often result in ineffective results of the Information Retrieval (IR) application such as document retrieval. This is because IR application should be able to recognize all words in a particular language in order to be more robust. The current spell checker for the Malay language uses a dictionary that contains pair of commonly misspelled word and its correctly spelled word in detecting and correcting misspelled word. However, this type of spell checker can only correct misspelled words that exist in the existing dictionary; otherwise it requires user interaction to correct it manually. This approach works well if the spell checker is a standalone system but it is not really an effective system when the spell checker is part of another IR application such as document retrieval for weblog. This is because there will be always new misspelled words created along with the increasing number of weblog pages. Thus, the number of misspelled words will also grow extremely. In this paper, we propose a new spell checker that detects and automatically corrects misspelled words in Malay without any interaction from the user. The proposed approach automatically replaces the misspelled word if it exists in the reSpellWord dictionary. Otherwise, it will go through the process of Selangor Slang Identification or Repetitive word Identification or Opposite Word Identification whichever is suitable. If the word cannot be identified as a misspelled word, a few alternative words will be suggested and they are ranked using the Levenshtein Distance in order to choose the most likelihood word for the misspelled word. The correctly-spelled word that has the highest ranking will be chosen as a replacement for the misspelled word. This misspelled word and its correctly-spelled word are then added automatically into the dictionary in order to update the dictionary. The proposed approach is evaluated by using texts that are selected randomly from the popular Malay blog. Based on the experimental results obtained, the proposed approach is found to be effective in detecting and correcting the Malay misspelled word automatically.Index Terms-Malay weblog, information retrieval, misspelled word, spell checker

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Section: Discussionmentioning

confidence: 99%

“…Another research conducted by Kasbon et al that translates short form texting language to its complete and correct forms [4]. In their works, the proposed approach checks whether the sentences have any grammatical and structural errors.…”

Section: Related Workmentioning

confidence: 99%

Automatic spell checker for Malay blog

Basri

Alfred

2012

2012 IEEE International Conference on Control System, Computing and Engineering

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“…The transactions generated in the previous phase are executed in this step. ADSs have many applications in controlling and automatic handling of processes in different areas such as the stock exchange organization, portfolio management systems, automatic traffic control systems, all applications with continuous monitoring, and real-time systems as real-time active database systems [19], [20][21][22][23]. An ADS plays the role of an automatic controller by defining and executing several active rules.…”

Section: ) Transaction Executionmentioning

confidence: 99%

“…------Respectable Reviewer #1 - ------------------------------------------------------------- Make a update of introduction reference ( [19], 1999), as well as other references to at least 6 years older references have been updated in the context of Learning Automata, therefore, is recommended to update the references to a range of not more than by at least 6 years. (Answer 1) ------------------------------------------------------------  The structure of the paper should be checked: there is a large section after "5", then a section 5.1 but no section 5.2.…”

Section: Appendixmentioning

confidence: 99%

“…Many applications such as real-time expert systems [32][33], warehousing programs, the automation of processes, and complex financial calculations in stock markets need automatic control for handling events that have occurred. Active Database Systems [19], abbreviated to ADSs, meet the requirements of such applications by defining ECA (Event-Condition-Action) rules, referred to as active rules. An ECA rule has three main sections: Event, Condition, and Action.…”

Section: Introductionmentioning

confidence: 99%

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A new approach to active rule scheduling

Rasoolzadegan

Alesheykh

Meybodi

2015

Engineering Applications of Artificial Intelligence

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Active database systems (ADSs) react automatically to the occurrence of predefined events by defining a set of active rules. One of the main modules of an ADS is the rule scheduler, which has a significant impact on the effectiveness and efficiency of ADSs. During the rule scheduling process, the rule scheduler is responsible for choosing one of the activated or ready-to-be-executed rules to evaluate its condition section or execute its action section, respectively. This process continues until there is no rule to be evaluated or executed. In this research, we evaluate and compare existing rule scheduling approaches in a laboratory environment based on a three-tier architecture. There are criteria used for the evaluation and comparison of rule scheduling approaches: Average Response Time, Throughput, Response Time Standard Deviation, Time Overhead per Transaction, and CPU Utilization. The three first criteria are used to evaluate the effectiveness, and the latter two criteria are used to evaluate the efficiency of rule scheduling approaches. In this paper, a new approach, referred to as EX¬-SJF¬EsTLA, is proposed to improve the rule scheduling process, using a learning automaton. In our laboratory environment, EX¬-SJF¬EsTLA is compared with those rule scheduling approaches that are unconstrained as EX¬-SJF¬EsTLA is. Unconstrained scheduling approaches serially schedule the rules that do not have any priorities or deadlines. The results of experiments revealed that the proposed approach improved the rule scheduling process according to the evaluation criteria.

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Implementing an Active Database for Maintaining Asset Data

Cited by 2 publications

References 7 publications

Automatic spell checker for Malay blog

Automatic spell checker for Malay blog

A new approach to active rule scheduling

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