The integration of heterogeneous systems is still an evolving research area. Due to the complexity of integration processes, there are challenges for the optimization of integration processes. Message-based integration systems, like EAI servers and workflow process engines, are mostly document-oriented, using XML technologies to achieve suitable data independence from the different and particul...

OBJECTIVE Despite the advantages of structured data entry, much of the patient record is still stored as unstructured or semistructured narrative text. The issue of representing clinical document content remains problematic. The authors' prior work using an automated UMLS document indexing system has been encouraging but has been affected by the generally low indexing precision of such systems....

We have put together a corpus of 242 abstracts of Arabic has been stimulated by the D.O.D. Tipster project (Hardocuments using the Proceedings of the Saudi Arabian man, 1993). Arabic provides a very different context National Conferences as a source. All these abstracts from English, since it is a non-Indo-European language involve computer science and information systems. We with a complex mor...

The two main approaches to find data in peer-to-peer (P2P) systems are unstructured networks using flooding and structured networks using a distributed index. A distributed index is usually built over all keys that are stored in the network whether they are queried or not. Indexing all keys is no longer feasible when indexing metadata, as the key space becomes very large. Here we need a query-a...

An efficient indexing scheme is essentially important for spoken term detection (STD) on large databases, particularly for phone-based systems that have been widely adopted to achieve vocabulary-independent detection. While the finite state transducer (FST) composition provides a standard indexing approach, the n-gram reverse indexing is more flexible in connectivity representation and confiden...

Indexing and content-based retrieval are necessary to handle the large amounts of audio and multimedia data that is becoming available on the web and elsewhere. Since manual indexing using existing audio editors is extremely time consuming a number of automatic content analysis systems have been proposed. Most of these systems rely on speech recognition techniques to create text indices. On the...

The performance of a theorem prover crucially depends on the speed of the basic retrieval operations, such as finding terms that are unifiable with (instances of, or more general than) some query term. Among the known indexing methods for term retrieval in deduction systems, Path–Indexing exhibits a good performance in general. However, as Path–Indexing is not a perfect filter, the candidates f...

Automatic book indexing systems are based on the generation of phrase structures capable of reflecting text content. • Some approaches are given for the automatic construction of back-of-book indexes using a syntactic analysis of the available texts, followed by the identification of nominal constructions, the assignment of importance weights to the term phrases, and the choice of phrases as in...