Abstract. Web forms are the main input mechanism for users to supply data to web applications. Users fill out forms in order to, for example, sign up to social network applications or do advanced searches in search-based web applications. This process is highly repetitive and can be optimized by reusing the user's data across web forms. In this paper, we present a novel framework for domainindependent automatic form filling. The main task is to automatically fill out a correct value for each field in a new form, based on web forms the user has previously filled. The key innovation of our approach is that we are able to extract relevant metadata from the previously filled forms, semantically enrich it, and use it for aligning fields between web forms.

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Several relational approaches have been proposed to detect the changes to XML documents by using relational databases. These approaches store the XML documents in the relational database and issue SQL queries (whenever appropriate) to detect the changes. All of these relational-based approaches use the schema-oblivious XML storage strategy for detecting the changes. However, there is growing evidence that schema-conscious storage approaches perform significantly better than schema-oblivious approaches as far as XML query processing is concerned. In this paper, we study a relational-based unordered XML change detection technique (called Helios) that uses a schema-conscious approach (Shared-Inlining) as the underlying storage strategy. Helios is up to 52 times faster than X-Diff [7] for large datasets (more than 1000 nodes). It is also up to 6.7 times faster than Xandy [4]. The result quality of deltas detected by Helios is comparable to the result quality of deltas detected by Xandy.