Symbol Manipulative Programming For Bibliographic Data Processing on Small Computer

Symbol-Manipulative Programing for Bibliographic Data Processing on Small Computers

RELATIVELY LITTLE has been written on symbol-manipulative programing, and papers that have appeared discuss "high-lever' languages to be run on large machines.1 Furthermore, publications in the general field of languagedata processing are concerned, for the most part, with machine translation or information retrieval from natural language-two procedures which require large computers. However, i...

Collaboration support for bibliographic data

In many research settings, bibliographies are a central resource for collecting information about related work, keeping track of the own research record, and annotating this information with remarks. By its very nature, this information should be shared between researchers within a research group and maybe in larger organizational units (for example research institutes) as well. However, most t...

Symbol-Level Requirements for Agent-Level Programming

In this paper we discuss the notion of programming at the knowledge level in the context of distributed AI systems. In particular, we show that although a number of languages defining abstract communication primitives have been proposed in the past few years, knowledge-level programming can only be supported if specific symbol-level requirements are satisfied. To illustrate this problem we form...

Taxonomy-Driven Expertise Aggregation on Bibliographic Data

Finding relevant experts is essential for collaboration. Many Expert Finder applications succeed in finding experts, only at coarse levels of granularity, and within specific domains. Finding experts at fine granularity however, is often needed for effective functioning. Semantics can refine the granularity at which the expertise of various experts can be determined, by explicitly expressing re...

Holistic Symbol Processing