Automatic detection of fragments in dynamically generated web pages

Ramaswamy, Lakshmish; Iyengar, Arun; Liu, Ling; Douglis, Fred

doi:10.1145/988672.988732

Cited by 59 publications

(39 citation statements)

References 21 publications

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“…Ramaswamy et al [RILD04] worked on automatic detection of duplicated fragments in dynamically generated web pages. Dynamic web pages cannot be cached, but performance can be improved by caching fragments of web pages.…”

Section: Shingles Encodingmentioning

confidence: 99%

Automated Detection of Refactorings in Evolving Components

Dig

Comertoglu

Marinov

et al. 2006

ECOOP 2006 – Object-Oriented Programming

184

164

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Abstract.One of the costs of reusing software components is updating applications to use the new version of the components. Updating an application can be error-prone, tedious, and disruptive of the development process. Our previous study showed that more than 80% of the disruptive changes in five different components were caused by refactorings. If the refactorings that happened between two versions of a component could be automatically detected, a refactoring tool could replay them on applications. We present an algorithm that detects refactorings performed during component evolution. Our algorithm uses a combination of a fast syntactic analysis to detect refactoring candidates and a more expensive semantic analysis to refine the results. The experiments on components ranging from 17 KLOC to 352 KLOC show that our algorithm detects refactorings in real-world components with accuracy over 85%.

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Section: Shingles Encodingmentioning

confidence: 99%

Automated Detection of Refactorings in Evolving Components

Dig

Comertoglu

Marinov

et al. 2006

ECOOP 2006 – Object-Oriented Programming

184

164

View full text Add to dashboard Cite

show abstract

“…One of the first effort is DYCE [13], which is model-based dynamic Web content emulator. Recently, Ramaswamy et al proposed a novel scheme to automatically detect and flag fragments [20], which share the similar goal of this paper. However, there are three differences between us: First, although both of our work intends to automatic detection of fragments, our keyword-based is simple and easy to implement, while their approach is complex and has theoretical analysis.…”

Section: Results and Analysismentioning

confidence: 72%

Accelerating Dynamic Web Content Delivery Using Keyword-Based Fragment Detection

Brodie

Gupta

Shi

2004

Lecture Notes in Computer Science

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Abstract. The recent trend in the Internet traffic is increasing in requests for dynamic and personalized content. To efficiently serve this trend, several serverside and cache-side fragment-based techniques, which exploit reuse of Web pages at the sub-document level, have been proposed. Most of these techniques do not focus on the creation of the fragmented content from existing dynamic content. Also, existing caching techniques do not support fragment movement across the document, a common behavior in dynamic content. This paper presents two proposals that we have suggested to solve these problems. The first, DyCA, a dynamic content adapter, takes original dynamic Web content and converts it to fragment-enabled content. Thus the dynamic parts of the document are separated into separate fragments from the static template of the document. This is dependent on our proposed keyword-based fragment detection approach that uses predefined keywords to find these fragments and to split them out of the core document. Our second proposal, an augmentation to the ESI standard, allows splitting the information of the position of each fragment in the template from the template data itself by using a mapping table. Using this, a fragment enabled cache can have a more fine grained level of identifying fragments independent of their location on the template, which enables it to take into account fragment behaviors such as fragment movement. We used the content taken from three real Web sites to achieve a detailed performance evaluation of our proposals. Our results show that our keyword-based approach for fragment extraction provides us with cacheable fragments that, when combined with our proposed mapping table augmentation, can provide significant advantages for fragment-based Web caching of existing dynamic content.

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“…Web page partitioning techniques have been proposed for adapting content on small screen devices [21,22,25,93], content caching [75], data cleaning [79,92], and search [94]. The VIPS [94] algorithm uses visual cues to partition a Web page into geometric segments.…”

Section: Semantic Analysis Of Web Contentmentioning

confidence: 99%

Transaction models for Web accessibility

Mahmud

Ramakrishnan

2011

World Wide Web

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S S S t t t o o o n n n y y y B B B r r r o o o o o o k k k U U U n n n i i i v v v e e e r r r s s s i i i t t t y y yThe official electronic file of this thesis or dissertation is maintained by the University Libraries on behalf of The Graduate School at Stony Brook University. The Web has evolved into a dominant digital medium for conducting many types of online transactions such as shopping, paying bills, making travel plans, etc. Such transactions typically involve a number of steps spanning several web pages. For sighted users these steps are relatively straightforward to do with graphical web browsers. But they pose tremendous challenges for visually impaired individuals. This is because screen readers, the dominant assistive technology used by visually impaired users, function by speaking out the screen's content serially. Consequently, using them for conducting transactions can cause considerable information overload. But usually one needs to browse only a small fragment of a web page to do a step of a transaction (e.g., choosing an item from a search results list). Based on this observation this dissertation develops a model-directed transaction framework to identify, extract and aurally render only the "relevant" page fragments in each step of a transaction. The framework uses a process model to encode the state of the transaction and a concept model to identify the page fragments relevant for the transaction in that state. The two models are constructed from labeled transaction sequences using traditional classification and automata learning methods. © © © A A A l l l l l l R R R i i i g g g h h h t t t s s s RNext, we relax the requirement of needing fully labeled training data. Specifically, we present a framework to mine transaction models from partially labeled click stream data generated by transactions, where some or all the labels could be missing. Not having to rely exclusively on (manually) labeled click stream data has iii important benefits: Visually impaired users do not have to depend on third party (e.g., sighted users) for constructing transaction models. This makes it possible to mine personalized models from transaction click streams associated with sites that visually impaired users visit regularly. Since partially labeled data is relatively easier to generate, scaling up the construction of domain-specific transaction models (e.g., shopping, airline reservations, bill payments, etc.) is feasible. Lastly, adjusting the performance of deployed models over time with new training data is also doable.In terms on techniques used for mining we expand our repertoire to include web content analysis to partition a web page into segments consisting of semantically related content elements, contextual analysis of data surrounding clickable elements in a page and clustering of page segments based on contextual analysis.We provide qualitative and quantitative experimental evidence of the practical effectiveness of our models in improving user experience when conducting online transactions with n...

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Automatic detection of fragments in dynamically generated web pages

Cited by 59 publications

References 21 publications

Automated Detection of Refactorings in Evolving Components

Automated Detection of Refactorings in Evolving Components

Accelerating Dynamic Web Content Delivery Using Keyword-Based Fragment Detection

Transaction models for Web accessibility

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