Search (64 results, page 4 of 4)

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Date

26.12.2011 13:22:27

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Abstract

Information exchange among many sources in Internet is more autonomous, dynamic and free. The situation drive difference view of concepts among sources. For example, word 'bank' has meaning as economic institution for economy domain, but for ecology domain it will be defined as slope of river or lake. In this paper, we will evaluate latent semantic and WordNet approach to calculate semantic similarity. The evaluation will be run for some concepts from different domain with reference by expert or human. Result of the evaluation can provide a contribution for mapping of concept, query rewriting, interoperability, etc.

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Abstract

This article provides an overview of the work carried out by the HILT Project <http://hilt.cdlr.strath.ac.uk> in making recommendations towards interoperable subject access, or cross-searching and browsing distributed services amongst the archives, libraries, museums and electronic services sectors. The article details consensus achieved at the 19 June 2001 HILT Workshop and discusses the HILT Stakeholder Survey. In 1999 Péter Jascó wrote that "savvy searchers" are asking for direction. Three years later the scenario he describes, that of searchers cross-searching databases where the subject vocabulary used in each case is different, still rings true. Jascó states that, in many cases, databases do not offer the necessary aids required to use the "preferred terms of the subject-controlled vocabulary". The databases to which Jascó refers are Dialog and DataStar. However, the situation he describes applies as well to the area that HILT is researching: that of cross-searching and browsing by subject across databases and catalogues in archives, libraries, museums and online information services. So how does a user access information on a particular subject when it is indexed across a multitude of services under different, but quite often similar, subject terms? Also, if experienced searchers are having problems, what about novice searchers? As information professionals, it is our role to investigate such problems and recommend solutions. Although there is no hard empirical evidence one way or another, HILT participants agree that the problem for users attempting to search across databases is real. There is a strong likelihood that users are disadvantaged by the use of different subject terminology combined with a multitude of different practices taking place within the archive, library, museums and online communities. Arguably, failure to address this problem of interoperability undermines the value of cross-searching and browsing facilities, and wastes public money because relevant resources are 'hidden' from searchers. HILT is charged with analysing this broad problem through qualitative methods, with the main aim of presenting a set of recommendations on how to make it easier to cross-search and browse distributed services. Because this is a very large problem composed of many strands, HILT recognizes that any proposed solutions must address a host of issues. Recommended solutions must be affordable, sustainable, politically acceptable, useful, future-proof and international in scope. It also became clear to the HILT team that progress toward finding solutions to the interoperability problem could only be achieved through direct dialogue with other parties keen to solve this problem, and that the problem was as much about consensus building as it was about finding a solution. This article describes how HILT approached the cross-searching problem; how it investigated the nature of the problem, detailing results from the HILT Stakeholder Survey; and how it achieved consensus through the recent HILT Workshop.

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Abstract

The focus of research on representing and reasoning with knowledge traditionally has been on single specifications and appropriate inference paradigms to draw conclusions from such data. Accordingly, this is also an essential aspect of ontology research which has received much attention in recent years. But ontologies introduce another new challenge based on the distributed nature of most of their applications, which requires to relate heterogeneous ontological specifications and to integrate information from multiple sources. These problems have of course been recognized, but many current approaches still lack the deep formal backgrounds on which todays reasoning paradigms are already founded. Here we propose category theory as a well-explored and very extensive mathematical foundation for modelling distributed knowledge. A particular prospect is to derive conclusions from the structure of those distributed knowledge bases, as it is for example needed when merging ontologies