Exploring the Semantic Structure of Technical Document Collections: A Cooperative Systems Approach
نویسندگان
چکیده
The identification and analysis of the knowledge available in document form is a key element of corporate knowledge management. In engineering-intensive organizations, it involves tasks such as standard generation and evaluation, comparison of related cases and experience reuse in their treatment. No single information retrieval technique is likely to adequately deal with such tasks independent of the specific situation, and no fully automatic approach is likely to yield good results. In this paper, we therefore present the design, implementation, and some application experiences with a modular approach that allows a variety of techniques from semantic document analysis to interoperate with a tailorable map-centered visualization of the structure of technical document collections.
منابع مشابه
Exploring Large Digital Library Collections Using a Map-Based Visualisation
In this paper we describe a novel approach for exploring large document collections using a map-based visualisation. We use hierarchically structured semantic concepts that are attached to the documents to create a visualisation of the semantic space that resembles a Google Map. The approach is novel in that we exploit the hierarchical structure to enable the approach to scale to large document...
متن کاملExploring the basic elements of successful knowledge management system with presenting a theory through a semantic network
Abstract: Nowadays knowledge is recognized as an important enabler for competitive advantages and many companies are beginning to establish knowledge management systems. Within the last few years many organizations tried to design a suitable knowledge management system and many of them were successful. This paper is to discover critical success factors (CSF) of knowledge management (KM) and the...
متن کاملCREWS Report 99-05 Document Maps: Semantic Structuring of Technical Document Collections
Corporate knowledge management in science and engineering-intensive organizations involves tasks such as standard generation and evaluation, comparison of related cases and experience reuse in their treatment, and the ability to rapidly retrieve all relevant documents around a certain topic or project even if this project has extended over years or decades. No single information retrieval techn...
متن کاملA Joint Semantic Vector Representation Model for Text Clustering and Classification
Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...
متن کاملCooperative Control of Mobile Robots in Creating a Runway Platform for Quadrotor Landing
Multi-agent systems are systems in which several agents accomplish a mission in a cooperative manner. In this paper, a novel idea for the construction of a movable runway platform based on multi-agent systems is presented. It is assumed that an aerial agent (quadrotor) decides to make an emergency landing due to reasons such as a decrease in energy level or technical failure, while there is no ...
متن کامل