Using Multimedia Metadata to Improve Network Efficiency - Research Proposal Example

Use of Multimedia Metadata to improve network efficiency Author Instructor Course Date Executive Summary The availability of huge information online requires special computing for quality information extraction. Accessing these network resources is quite challenging therefore the need metadata. Metadata will help to improve network efficiency by ensuring the retrieved information meets the objective of the user of internet. Ideally, efficient network has become an important component of all forms of businesses that rely on bundle to execute their services. Businesses that require efficient network are also determined by fault-tolerant, redundant, have large IT staff and/or processes and services that are critical for the business growth. In fact, any fault in either the software or the hardware can result to downtime cost on the customers. However, designing and implementing a efficient network would moderate the failure of the entire network services as a result of hardware or software failure. In addition efficient network is also critical in the business because it allows network failures to be controlled by to be controlled by the business through what is known as acceptable business bounds. Metadata is used improve network efficiency by developing an intelligent middleware server to communicates to client server. Table of Contents Executive Summary 2 Introduction 4 Objectives 5 Literature review 6 Research methodology 10 Gantt chart 12 References 13 Introduction In the recent times there has emerged a number of multimedia which contains various information and data, both illegal and legal. This multimedia has movies as in the case of you tube, images, audio sounds, from and texts from various sources. There is also an emergency of sites like Google which assists in consistent updating. When such sites are not managed a problem is likely to occur to the users of the site. This need of improvement of accessed information has accelerated network efficiency need. Network efficiency has become a necessity because of availability of multimedia. The availability of multimedia has lead to the increased demand of high quality information and this is made possible by network resources available. Network resources consist of internet bought at home and at work in the form of wireless and mobile data network which are capable of connecting at a high speed. There is a challenge among band-width users in finding a multimedia that will provide adequate network without interfering with connectivity. The continue use of low-bandwidth internet may result in downloading or searching huge forms of data which are inefficient, multimedia metadata will be used to improve network efficiency. Multimedia metadata involves the use of storage systems which contains data and information that allows autonomous in storage and retrieval management. This is important as it provides low-bandwidth users optimised utilization of the system. Multimedia metadata helps in exploring high speed, high capacity backbone networks to interconnect the various sites within the network lowest. This is the most preferable option due to large capacities of bandwidth that can be supported coupled with the high speeds of transmission. This will ensure that while the personnel are dispersed around the various sites they have access to the storage area network from where they can access the relevant data or information when required. It goes ahead to high necessary passages in documents which contain the exact in formation the user is querying. The proposed system is an improvement from corpus based question answering system by introducing semantics and information based retrieval models. This system will reduce the amount of time spent in collecting information. It will further rank the data according to its accuracy in terms of information contained in them. The passage that contains the exact answers for the query will be highlighted within the documents that are retrieved. The system works on the grounds that improved retrieval will improve the quality of information obtained and this relies on system accuracy. In this regard, the empirical review paper analyses the current and previous literatures conducted by various experts in an attempt to develop a literature based on how to enhance accuracy of information retrieval and answer extraction in a question answering system. Consequently, the review paper will provide brief literatures on metadata research history, issues and challenges it solves, and current research. Every efficient network has its own compliance that allows for effective configuration. Owing to such principle, it is important for the network designers and administrators to ensure that there is compliance of the nodes of the clusters with network addresses so as to enhance the reliability of the clusters. It is also advisable for the network administrators ensure that the service console addresses are similar across all the hosts and nodes for the sake of compliance of high availability network. Objectives The research aims to provide a brief literature of query analysis, information retrieval, and extracts answer in natural language and to bring in a novel paradigm of answer influence, which permits question-answering systems to approximate the value of answers. This will require designing of new features which will interact with the question in order to improve information retrieval precision. This will be pursued by illustrations of approaches used to searching literal answer strings to domain with the aim of conferring a new method based on semantic restraints to develop the functionality and mobility of a reformulation-established question answering system. The objectives will be ; 1. Review and discuss network efficiency 2.Critically analyses the main challenges and problems relating to information retrieval Literature review These huge data transfers quickly monopolized the services of a centrally located network switch. No other data could get through this switch, neither was it able to respond to queries from other network components asking if it was still functioning. Other network components concluded, reasonably enough, that something had happened to the monopolized switch that it had ceased to function as a reliable part of network. Other network components then began to compute alternative paths for data flow through the network, paths that did not traverse the troubled switch(Blocker, 2012). Fortunately, the network was physically redundant throughout; there were alternative paths along which data could flow. Network components had a built-in ability to recomputed data paths in the event of failures. Unfortunately, the evolved complexity of the overall network-the way individual smaller networks had been added one at a time, none of them resulting in issues when they were added-had created a hidden problem that kicked in with a vengeance now that the network had lost the services of major switch. As network components tried to calculate new paths along which data would flow, as they decided which redundant network components would now act as primaries and which would act as backups, they became confused. As the many smaller networks had been “glued” together over time, the network had gradually crept “out of spec”; algorithms for computing alternative data paths could no longer operate correctly. Redundant components intended to operate in tandem, one as a primary and the other as backup, began to operate at cross purposes, both becoming primary. They began to duplicate each other’s functionality (Blocker, 2012). Each relayed the other’s messages; one switch would relay a single message to the other, then that switch would relay the same message back to the first, which would then relay it to the second one again. All messages on the network began repeating in this way, reproducing rapidly in an endless loop until network was totally disabled. According to Stockhammer, (2011), modular structural design is metadata which has minimum deviations during information access as it uses isolation components in retrieving documents which are relevant query made by the user. The system works by imposing a control mechanism which is linear in classification of information that is being generated after querying. The extracted information is classified in the order of their importance in terms of containing high percentage of key words and semantics. According to Dasiopoulou, Tzouvaras, Kompatsiaris and Strintzis (2010) modular structural design is important and easier to implement because its ability to be analysed. The components of the system can be coupled or decoupled during the analysis enabling extraction of the information to be easier. In a metadata, information retrieval and question evaluation elements depends on processing tools which identifies passages with similar answers to the question queried. This craving is essential to facilitate the answer retrieval method to establish whether answers subsist in extracted passage, by evaluating it and contrasting it adjacent to the question evaluation module’s answer requirement (Dasiopoulou, Tzouvaras, Kompatsiaris and Strintzis, 2010). In fact, the passage-extracting module does not employ the frequent representation for recording passage; either the question evaluation unit or an open query-designing module records it into a representation query-able by the passage extraction module. According to Blocker (2012), in the transmission channelled modular metadata system includes the composition of the mechanism used in retrieval. Basically, it is effortless to view that errors flow as the metadata process shifts through downstream units, and this steers to the instinct that exploiting functionality of individual components reduces the error at every level of the channel, which, as a result, should make the most of largely continuous system accuracy. Information retrieval is concerned with retrieving documents that have relevant information to the user’s question. When a user queries an answer is extracted in form of a number of documents containing relevant information. In extracting information, QA system enables the users to extract information from such engine. The answer extracted from a query depends on the type of information required and it involves various components. It brings with extraction of passage through entity extraction, entity classification, query classification, and entity ranking (Abney,Collins and Singhal 2000). Passage retrieval help in identifying relevant document that have passages relating to the query while entity extraction assist in extracting relevant information from passages. Entity classification groups entities into various classes and query classification identifies into which category the query falls into. Abne, Collins and Singhal (2000) study, introduce a novel information retrieval system called Smart IR, which retrieves much lesser information piece to retrieve ranked passes pertinent to the query. Additionally, it retrieves explicit answers from document collections. Essentially, passage extraction involves recognition of pertinent documents that probably contain the question’s answer. In reference postulated approach, it begun with searching potential passages that has the query’s answer and afterwards Smart IR is employed to retrieve documents set, which are pertinent to the question According to Blocker (2012), modular structural design is a metadata system which has minimum deviations during information retrieval as it uses isolation components in retrieving documents which are relevant query made by the user. The system works by imposing a control mechanism which is linear in classification of information that is being generated after querying. The extracted information is classified in the order of their importance in terms of containing high percentage of key words and semantics. According to Blocker (2012) modular structural design is important and easier to implement because its ability to be analysed. The components of the system can be coupled or decoupled during the analysis enabling extraction of the information to be easier. In a normal metadata, answer retrieval and question evaluation elements depends on processing tools which identifies passages with similar answers to the question queried. This craving is essential to facilitate the answer retrieval method to establish whether answers subsist in extracted passage, by evaluating it and contrasting it adjacent to the question evaluation module’s answer requirement. In fact, the passage-extracting module does not employ the frequent representation for recording passage; either the question evaluation unit or an open query-designing module records it into a representation query-able by the passage extraction module. According to Blocker (2012), in the transmission channelled modular metadata design includes the composition of the mechanism used in retrieval. Basically, it is effortless to view that errors flow as the information process shifts through downstream units, and this steers to the instinct that exploiting functionality of individual components reduces the error at every level of the channel, which, as a result, should make the most of largely continuous system accuracy. Metadata reduces the amount of documents that are retrieved as well as assist the user locate the actual information to his query to a text or passage within the retrieved document. This is important as the amount of documents is reduced and unnecessary passages are ignored. Improved corpus- based question answering system that uses natural language and surface/ lexico syntactic patterns will be used to improve the quality of information extracted from such engines. The assumption here is that, the improvement to extraction of information is interrelated with system performance. Therefore an attempt has been made by the current research to improve the system so as to reduce the amount of extracted documents and provide documents that are to the query asked. Therefore the role of answer extraction is critical to this system since irrelevant passages are not highlighted. The system concentrates in extracting answer later than extracting the text that has relevant thus reducing the amount of time that the user takes to extract the required solutions. The system will have the ability to check semantics and linguistic of QA system in order to improve retrieval quality. Research methodology The methodology would be qualitative methods, which involves literature reviews and document analysis along with a review of the available published material. The primary data cannot be obtained directly from the users; neither can it be obtained from the other authorities since time limit, alternative secondary sources will have to be utilized for the purpose of this research. The methodology can be classified as a mixture of generic qualitative and descriptive design with the different elements of the literature review and the data analysis contributing to the study of the proposed topic. The point here is that the methodology needs to take into account both elements as only then would a suitable basis be arrived at for the secondary source collection and the subsequent analysis from the sources would be according to the design principles that are prescribed for such cases. Finally, the methodology would be validated against established procedures for such studies and care would be taken to stick to the practices of international research studies as much as possible. Data Collection Technique Data will be collected through secondary sources including online libraries, peer reviewed journals, and prior researches closely related to the topic. While the secondary data is general skewed and thus affected the outcome of any research based on that data, the secondary data in question is not skewed. Most importantly, additionally data will be collected from various databases available on the University’s database to study the use of multimedia metadata to improve network efficiency. As such, secondary sources of data especially those found on the World Wide Web will be used to develop a comprehensive picture of the implementation of green accounting is seen as a way through which firms can manage environment cost by minimizing compliance costs. The core of the research on the available resources will be geared towards establishing the effects of green accounting compliance on the particularly on the some products. The inquiry will therefore constitute selection of articles from published and peer reviewed books and journals as well as credible web sources that contain information on the green accounting. Furthermore, all the cited articles and books selected will be up to date having been published from year 2009 onwards. Similarly, websites used in the study will include certified agency websites, news articles from credible media companies as well as materials from authoritative web sources. Limitation of the research to secondary sources will facilitate analysis of numerous articles from diverse sources and authors on the issue of the green accounting and regulatory environment that has seen the environment compliance requirements to raise the bar for corporations. Gantt chart References Abne, S., Collins M. & Singhal, A., 2000. Answer Extraction. Association for Neuro-Linguistic Programming (ANLP) (2000): 296-301. Blocker, J., 2012. Using Multimedia Metadata to Improve Network Efficiency http://calhoun.nps.edu/bitstream/handle/10945/17326/12Sep_Blocker_Joe.pdf?sequence=1 Dasiopoulou, S. Tzouvaras, V. Kompatsiaris, I. & Strintzis, M. (2010). Enquiring MPEG-7 Based Multimedia Ontologies.Multimedia Tools and Applications, 46(331–370). Stockhammer, T.(2011). Dynamic Adaptive Streaming over HTTP –Standards and Design Principles. Multimed ia Systems Conference 2011, 133–143. Read More