• Form Understanding

    Form understanding is a fundamental problem in deep-web crawling, data integration, (object) search, and data extraction. Moreover, web sites are increasingly used on devices or in contexts not anticipated by their developers. Form understanding can significantly improve accessibility of forms and support assistive technologies, e.g., for mobile use (such as keyboard layouts, gestures, and auto-completion appropriate to the type of field).

  • Ontological Query Answering

    Ontological queries are evaluated against a database combined with ontological constraints. Answering such queries is a challenging new problem for database research. For many ontological modelling languages, query answering can be solved via query rewriting.

  • Result and Details Page Analysis

    Result and Details page analysis is the process of understanding web pages resulting from a web query. In web data extraction, result-page analysis includes: (i) the identification of the data areas, (ii) the segmentation of each data area into records, (iii) the identification of the attributes in each record, and (iv) the extraction of the attribute values into a data structure.

  • Semantic Annotation

    Semantic annotation is the process of understanding the entities mentioned in a text document and labeling them with suitable semantic types corresponding to concepts in the real world, e.g., Persons, Organizations, and Locations.

  • Web Extraction Languages and Foundations

    This research area investigates languages and foundations of web data extraction. DIADEM needs languages for navigating web pages and interact with them. In order to extract the data behind a web interface, the static DOM tree of the page is not enough; a live DOM must be used instead.

  • Web Table Understanding

    Tables are one of the most common ways of representing structured data, together with lists (i.e., vectors), grids (i.e., matrices) and charts. Their popularity is derives from their capability of conveying information in a clear and simple fashion, thus easing the interpretation of raw data. Table understanding is the process of locating (or identifying), analysing (or recognizing) and interpreting tabular structures in order to enable a variety of tasks such as data extraction, format conversion and data integration.

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