The purpose of this research is to design a document retrieval model which is a structural model based on case relations and to test how effectively a prototype of this model would perform retrieval on a test database. Case relations are a major component of case grammar proposed by linguistic theorists and developed in computational linguistics and natural language processing.;The design of the structural retrieval model involves case relations and structured document representation, case relation-based natural language parsing and automatic structural indexing, and tree mapping and structural matching. In this model, a document is represented by a set of tree-like case frames in which the components of a natural language clause are assign...
In this document we show how combining case-based reasoning and knowledge-discovering techniques can...
Case-based reasoning utilizes past experiences as a key data resource for future problem solving and...
Information retrieval systems for documents normally rely on the use of keywords that describe the t...
. This paper presents a hybrid case-based reasoning (CBR) and information retrieval (IR) system, cal...
This work investigates document classification in Case-Based Reasoning (CBR). The investigation is e...
One of the most perplexing problems in Information Science has been definition of central concepts s...
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich c...
Abstract: Document Retrieval is the computerized process of producing a relevance ranked list of doc...
. A set of efficient algorithms for case retrieval from a case base of trees labeled on both nodes a...
An efficient retrieval of a relatively small number of relevant cases from a huge case base is a cru...
Some of the issues in case retrieval and maintenance of case-bases are discussed. Conventionally, ne...
Retrieval of cases is one important step within the case-based reasoning paradigm. We propose an imp...
Abstract. In this paper, we argue that syntactic analysis is most likely to improve retrieval accura...
. An efficient retrieval of a relatively small number of relevant cases from a huge case base is a c...
Document Retrieval is the computerized process of producing a relevance ranked list of documents in ...
In this document we show how combining case-based reasoning and knowledge-discovering techniques can...
Case-based reasoning utilizes past experiences as a key data resource for future problem solving and...
Information retrieval systems for documents normally rely on the use of keywords that describe the t...
. This paper presents a hybrid case-based reasoning (CBR) and information retrieval (IR) system, cal...
This work investigates document classification in Case-Based Reasoning (CBR). The investigation is e...
One of the most perplexing problems in Information Science has been definition of central concepts s...
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich c...
Abstract: Document Retrieval is the computerized process of producing a relevance ranked list of doc...
. A set of efficient algorithms for case retrieval from a case base of trees labeled on both nodes a...
An efficient retrieval of a relatively small number of relevant cases from a huge case base is a cru...
Some of the issues in case retrieval and maintenance of case-bases are discussed. Conventionally, ne...
Retrieval of cases is one important step within the case-based reasoning paradigm. We propose an imp...
Abstract. In this paper, we argue that syntactic analysis is most likely to improve retrieval accura...
. An efficient retrieval of a relatively small number of relevant cases from a huge case base is a c...
Document Retrieval is the computerized process of producing a relevance ranked list of documents in ...
In this document we show how combining case-based reasoning and knowledge-discovering techniques can...
Case-based reasoning utilizes past experiences as a key data resource for future problem solving and...
Information retrieval systems for documents normally rely on the use of keywords that describe the t...