By H. Van Dyke Parunak (auth.), Matthias Klusch, Gerhard Weiß (eds.)
This ebook constitutes the refereed court cases of the second one overseas Workshop on Cooperative info platforms, CIA'98, held in cognition with brokers global in July 1998 in Paris.
The booklet offers 9 invited contributions including 14 revised complete papers chosen from a complete of fifty four submissions. The publication is split in elements on platforms and purposes; problems with layout, querying, and verbal exchange; rational cooperation and digital trade; adaptive and collaborative info amassing; and cellular info brokers within the internet.
Read or Download Cooperative Information Agents II Learning, Mobility and Electronic Commerce for Information Discovery on the Internet: Second International Workshop, CIA'98 Paris, France, July 4–7, 1998 Proceedings PDF
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Extra info for Cooperative Information Agents II Learning, Mobility and Electronic Commerce for Information Discovery on the Internet: Second International Workshop, CIA'98 Paris, France, July 4–7, 1998 Proceedings
The user enters the query in a Prolog-like form using application-specific predicates (the ontology of the retrieval system) and sets various parameters in order to customise the retrieval operation. The query predicates correspond to the most significant information attributes. A web browser interface gives access to the ontology of query predicates including attribute-value names and information about query syntax. For the domain of technical documents, we use the following predicates: document-location, abstract-location, author, title, topic, documenttype, keyword, referred-author and referred-title.
Subjectivity may appear because of differing view points of the users about various domain aspects. Uncertainty arises due to vagueness in the retrieval needs of a user. Imprecision arises due to difficulties in the measurement and specification of the accompanying features. The existence of these semantic attributes in a query makes its processing much harder. The system has to cope with domain-dependent semantics as well as diverse user interpretations of these semantics. In our system, all of the above attribute types are supported.
A query language expressing the features (as constants) and their relationships (as predicates) is sufficient for our modelling needs. In our case, we adopted retrieval by attribute strategy. In this strategy, a query is formulated using a combination of attributes, meta-attributes, logical attributes or semantic attributes as discussed below. 1 Multimedia information attributes A multimedia object is defined as a semantic entity (contained in a multimedia item) that is meaningful in a specific domain.