Titlebook: Learning Structure and Schemas from Documents; Marenglen Biba,Fatos Xhafa Book 2011 Springer-Verlag GmbH Berlin Heidelberg 2011 Computatio

athlete’s-foot

反应

Hui Yang,Rajesh Swaminathan,Abhishek Sharma,Vilas Ketkar,Jason D‘Silva

衰弱的心

喃喃诉苦

Factorable

expunge

Dataspaces: Where Structure and Schema Meet,data structure from documents, and data models where data schema and documents structure overlaps will be reviewed, such as Apache Hadoop, Cassandra on Amazon Dynamo, Google BigTable model and other DHT-based flexible data structures, Google Fusion Tables, iMeMex, U-DID, WebTables and Yahoo! SearchMonkey.

EVADE

Progressive Filtering on the Web: The Press Reviews Case Study,extracting information from online newspapers by using suitable wrapper agents, each associated with a specific information source, (ii) categorizing news articles according to a given taxonomy, and (iii) providing user feedback to improve the performance of the system depending on user needs and preferences.

misshapen

Digital Libraries and Document Image Retrieval Techniques: A Survey,age retrieval applications. In this chapter a survey about the more recent techniques applied in the field of recognition and retrieval of text and graphical documents is presented. In particular we describe techniques related to recognition-free approaches.

debouch

Handling Hierarchically Structured Resources Addressing Interoperability Issues in Digital Librarieies panorama. Within the archives we show how an archive can be represented through set data models and how these models can be instantiated. We compare two instantiations of the NESTOR Model and show how interoperability issues can be addressed by exploiting the NESTOR Framework.

nerve-sparing

Mining Tinnitus Data Based on Clustering and New Temporal Features,res together with rule generating techniques and clustering methods are presented with a ultimate goal to explore the relationships among the treatment factors and to learn the essence of Tinnitus problems.