The design of efficient indexing structures is central to the performances of very large databases such as the web collections. Within the SPIRIT framework the challenge is to adapt ideas from the well-researched topics of text based information retrieval and geographical information systems for a spatially aware search engine. This document reports on the existing methods for both these areas ...

The objective of NLM's Indexing Initiative (IND) is to investigate methods whereby automated indexing methods partially or completely substitute for current indexing practices. The project will be considered a success if methods can be designed and implemented that result in retrieval performance that is equal to or better than the retrieval performance of systems based principally on humanly a...

An efficient indexing of past solutions is crucial to case-based design (CBD) systems performing complex retrieval on large case-bases. This paper suggests a hybrid approach to the indexing and retrieval of design precedents. The suggested approach accounts for the issues of classification manifested in architectural discussions on type and CBD literature. The indexing scheme integrates descrip...

Peer-peer networking has recently emerged as a new paradigm for building distributed networked applications. In this paper we develop simple mathematical models to explore and illustrate fundamental performance issues of peer-peer file sharing systems. The modeling framework introduced and the corresponding solution method are flexible enough to accommodate different characteristics of such sys...

EEcient activation of rules is a fundamental issue in active database systems; choosing the suitable rule activation technique is therefore an important task. We have developed a technique, called join pattern indexing, to support incremental update of rule-derived data. In this paper, we compare join pattern indexing with discrimination networks (Rete and TREAT) for data-derivation rules. A pe...

Speaker indexing refers to the process of separating speakers within a recording and assigning indices to each unique speaker. This paper describes a new speaker indexing algorithm which dynamically generates and trains a neural network to model each postulated speaker found within a recording. Each neural network is trained to differentiate the vowel spectra of one specific speaker from all ot...

In collaborative indexing systems users generate a big amount of metadata by labelling web-based content. These labels are known as tags and form a shared vocabulary. In order to understand the characteristics of that vocabulary, we study structural patterns of these tags by implying the theory of self-organizing systems. Therefore, we utilize the graph theoretic notion to model the network of ...

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