Queering the web archive: A xenofeminist approach to gender, function, language and culture in the London French Special Collection

Based on the author’s experience of curating a collection of migrant community web objects within the UK Web Archive, this paper combines conceptual interrogation with empirical analysis. The central premise is that the incorporation of multilingual, diasporic micro-archives serves to queer the anglophone UK Web Archive, or “patriarchive”, by dismantling steadfast binaries and implicit postcolonial hegemonies. The article challenges Jacques Derrida’s contention that the mal d’archive is the result of the archive’s ‘troubling’ duality, and posits, on the contrary, that such boundary-crossings are the very incarnation of a positive, transgressive form of xenofeminism (XF). From the dualism at the origin of the archive itself, to that comprised in the concept of genre/gender, and from the spatiotemporal in-betweenness of the archived diasporic (web)site to the translanguaging present therein, the article demonstrates how the diasporic micro-archive is the embodiment of a non-binary, trans-inclusive XF ideology. Taking French migrant women’s blogs preserved in the London French Special Collection as a primary source and examining their transformation over time, the paper explores how blog repurposing can be apprehended as a technomaterialist XF act and how the blogs’ increasing multimodal translanguaging bears witness to a form of culturo-linguistic transitioning that transcends binary hybridity.

Prefetching of Web Objects For Effective Retrieval Process Through Data Mining Techniques

With the exponential increase of the internet’s user base, performance enhancing network architectures and algorithms has manifested themselves as a requisite. Algorithms for Prefetching and Caching of Web Objects have been observed to effectively minimize user perceived latency. These algorithms are made use of in architectures limited to a particular user. We can further improve the performance of these algorithms by making use of techniques like data mining. We propose an innovative idea of implementing Prefetching and Caching algorithms in a Clustered Network. This will enable all users in a particular cluster to make use of pre-fetched and cached web objects from all other users. The result of simulations indicates a reduction in web latency, internet traffic, and bandwidth consumed.

A novel approach for Density based Optimal Semantic Clustering of Web Objects via identification of KingPins

Background: Clustering is one of the important techniques in Data Mining to group the related data. Clustering can be applied on numerical data as well as web objects such as URLs, websites, documents, keywords etc. which is the building block for many recommender systems as well as prediction models. Objective: The objective of this research article is to develop an optimal clustering approach which considers semantics of web objects to cluster them in a group. More so importantly, the purpose of the proposed work is to strictly improve the computation time of clustering process. Methods: In order to achieve the desired objectives, following two contributions have been proposed to improve the clustering approach 1) Semantic Similarity Measure based on Wu-Palmer Semantics based similarity 2). Two-Level Densitybased Clustering technique to reduce the computational complexity of density based clustering approach. Results: The efficacy of the proposed method has been analyzed on AOL search logs containing 20 million web queries. The results showed that our approach increases the F-measure, and decreases the entropy. It also reduces the computational complexity and provides a competitive alternative strategy of semantic clustering when conventional methods do not provide helpful suggestions. Conclusion: A clustering model has been proposed which is composed of two components i.e. Similarity measure and Density based two-level clustering technique. The proposed model reduced the time cost of density based clustering approach without effecting the performance.

A Review of Probabilistic Techniques Used for Web browsers’ Caching

Cache memory plays a central role in improving the performance of web servers, especially for big data transmission, which response time is constrained. It is necessary to use an effective method, such as web cache. Browsers' cache has a significant role according to less bandwidth use, response time and traffic load as well as beneficial if the internet connection is slow. Due to the space limitations, modern browsers companies attempt to use a method to store a great number of web objects and to advance the effectiveness of web browsers. Many scientists have been working to discover and recommend various techniques for this purpose. This study consequently reviews the recent likelihood probabilistic methods, to figure out how browsers store web objects in their caches, and which methods are used to load more speedily and to store a great number of web objects. The comparison between numerous browsers performed to pick and recommend the utmost one for usage. The result has shown that each browser using RI (Ratio Improvement) has powerful performance; to be discussed later. It has proposed using Google Chrome browser because web objects are placed in its cache through the RI technique that correlated with browsers' effectiveness.

Web Objects Based Contextual Data Quality Assessment Model for Semantic Data Application

Due to the convergence of advanced technologies such as the Internet of Things, Artificial Intelligence, and Big Data, a healthcare platform accumulates data in a huge quantity from several heterogeneous sources. The adequate usage of this data may increase the impact of and improve the healthcare service quality; however, the quality of the data may be questionable. Assessing the quality of the data for the task in hand may reduce the associated risks, and increase the confidence of the data usability. To overcome the aforementioned challenges, this paper presents the web objects based contextual data quality assessment model with enhanced classification metric parameters. A semantic ontology of virtual objects, composite virtual objects, and services is also proposed for the parameterization of contextual data quality assessment of web objects data. The novelty of this article is the provision of contextual data quality assessment mechanisms at the data acquisition, assessment, and service level for the web objects enabled semantic data applications. To evaluate the proposed data quality assessment mechanism, web objects enabled affective stress and teens’ mood care semantic data applications are designed, and a deep data quality learning model is developed. The findings of the proposed approach reveal that, once a data quality assessment model is trained on web objects enabled healthcare semantic data, it could be used to classify the incoming data quality in various contextual data quality metric parameters. Moreover, the data quality assessment mechanism presented in this paper can be used to other application domains by incorporating data quality analysis requirements ontology.

Location based Web Object Search using Probabilistic Classification Model.

The classical Web search engines focus on satisfying the information need of the users by retrieving relevant Web documents corresponding to the user query. The Web document contains the information on different Web objects such as authors, automobiles, political parties e.t.c. The user might be accessing the Web document to procure information about a specific Web object, the remaining information in the Web object [2-6] becomes redundant specific to the user. If the size of Web documents is significantly large and the user information requirement is small fraction of the document, the user has to invest effort in locating the required information inside the document. It would be much more convenient if the user is provided with only the required Web object information located inside the Web documents. Web object search engines provide Web search facility through vertical search on Web objects. In this paper the main goal we considered is the objective information present in different documents is extracted and integrated into an object repository over which the Web object search facility is built.

Web Objects Opinion through Sentiment Engineering

Sentiment Analysis is the analysis of thoughts, feelings and qualities of people towards an object. Automatically recognizing user-generated content views is of great help for commercial and political use. Sentiment Analysis / Opinion Mining lets us gather information about the positive and negative characteristics of any given object / product, and we recommend the favorable and highly scoring views on the object / product to the user. Although researchers have contributed a lot towards objects review through sentiment analysis, still there are open issues needs to be addressed such as Negation Handling, Domain Generalization and Detection and Removal of Fake Reviews. This paper presents a review on the various algorithms used for Negation Handling, Domain Generalization and Detection and Removal of Fake Reviews along with a comparative study against performance metrics along with their limitations.

Contents and Interactivity of National Library Websites

The contents and interactivity of national library websites around the world is analysed. The study was confined to ninety nine selected national library websites. A checklist along with a data sheet was used as the tool for data collection and Microsoft Excel was used as the tool for data analysis. The analysis revealed that the websites have almost identical pattern of contents and interactivity. Majority of the websites used interactive applications. Facebook is the most preferred application followed by Twitter, RSS and blogs. The websites preferred extreme top right corner and extreme bottom right corner of their homepages to provide links to the applications and web objects. This study is useful for developing design standards for library websites and portals.