Introduction. Aktobe Regional State University after KAktobe Regional State University after K. Zhubanov Foreign Languages Faculty Department of "Interpreting Studies"; Coursework __________________________ Types of Semantic Components
Table of Contents Preface…………………………………………………………………………….. Introduction………………………………………………………………………. Chapter One……………………………………………………………………… Types of Semantic Components…………………………………………………. Chapter Two……………………………………………………………………... Semantic Components 2.1. Semantic Components………………………………………………………… 2.2. Related Work…………………………………………………………………. 2.3. Semantic Composition………………………………………………………… Chapter Three…………………………………………………………………….. A Brief Overview of Kind Theory 3.1. Structure……………………………………………………………………… 3.2Operators………………………………………………………………………. Chapter Four……………………………………………………………………... Semantic Properties 4.1 Kinding with Semantic Properties……………………………………………. 4.2. Component Kind……………………………………………………………… Conclusions……………………………………………………………………….. Literature…………………………………………………………………………. Introduction The aim of this work is that domain specialists often have very targeted information needs. Digital libraries that leverage knowledge about information organization in a domain are likely to more effectively and efficiently meet the needs of expert users. I propose a model for representing document content, called semantic components. The semantic components model can affect multiple stages of the retrieval process: indexing, querying, document ranking, and document representation in results lists. In this paper we briefly describe the model, present preliminary results, and propose experiments that will provide evidence regarding the feasibility and potential usefulness of the model. A digital library pertinent to a particular domain contains a collection of documents and a retrieval system that provides access to those documents. The retrieval system typically has an index, consisting of a representation for each document, a query module that accepts user requests in a query language that is understood by the retrieval system, and a search module that matches the user requests to document representations. Document representations typically consist either of words extracted from the document, or keywords assigned from a controlled vocabulary appropriate to the domain. Both types of representations have advantages and disadvantages. I propose a new model, called semantic components, to represent documents in domain-specific digital libraries that is complementary to keyword and full-text indexing, and leverages information about document types and the kinds of information they contain. In the remainder of this paper we briefly describe the semantic components model, describe how I envision it being used, and outline a planned body of work to investigate the feasibility and potential usefulness of this model in digital libraries.
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