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Design and development of fuzzy text parser for querying hardware and software information in a local area network

Author: 
Santosh Patil and Dr. Poornima G. Naik
Subject Area: 
Physical Sciences and Engineering
Abstract: 

Every educational organization from medium size to large size hosts Local Area Network (LAN) equipped with machines of different brands with disparate softwares installed on each of them and connected to different hardware devices. It becomes extremely challenging for the lab technician to keep track of hardware and software configuration details of LAN and their working condition. On many occasions the softwares which are rarely used are installed only on few machines of LAN. Thus, for an end user it becomes difficult to search softwares by virtually attending every machine connected to LAN. In the current paper, the authors have designed and developed a model for obtaining information of all computers connected to a workgroup or a domain controller. The hardware and software information on each machine is queried and stored in a centralized relational database management system. The stored information can be queried using Hardware Query Language (HQL) and Software Query Language (SOQL) designed by the authors. Further, to render the queries more user friendly and close to human language fuzzy text parser is designed and implemented which takes care of synonyms and superfluous words with implied meaning into account. The parse tree is developed and parser is tested for few HQL statements.

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