A Method for Designing Domain-Specific Document Retrieval Systems using Semantic Indexing
نویسندگان
چکیده
منابع مشابه
Using latent semantic indexing for morph-based spoken document retrieval
Previously, phone-based and word-based approaches have been used for spoken document retrieval. The former suffers from high error rates and the latter from limited vocabulary of the recognizer. Our method relies on unlimited vocabulary continuous speech recognizer that uses morpheme-like units discovered in an unsupervised manner. The morpheme-like units, or “morphs” for short, have been succe...
متن کاملFramework for Document Retrieval using Latent Semantic Indexing
Today, with the rapid development of the Internet, textual information is growing rapidly. So document retrieval which aims to find and organize relevant information in text collections is needed. With the availability of large scale inexpensive storage the amount of information stored by organizations will increase. Searching for information and deriving useful facts will become more cumbersom...
متن کاملIncremental Development of Browsing for Domain-Specific Document Retrieval Systems
Browsing is being supported in many information retrieval systems to supplement Boolean querying. We have implemented a web-based browsing mechanism for a domain-specific document retrieval system based on the concept lattice of Formal Concept Analysis. In this paper, we have proposed and implemented an incremental development of browsing by combing Formal Concept Analysis (FCA) and Ripple Down...
متن کاملFormal Concept Analysis for Domain-Specific Document Retrieval Systems
Domain-specific information retrieval normally depends on general search engines, or systems which support browsing using handcrafted organisation of documents, but such systems are costly to build and maintain. An alternative approach for specialised domains is to build a retrieval system incrementally and dynamically by allowing users to evolve their own organisation of documents and to assis...
متن کاملBioDR: Semantic indexing networks for biomedical document retrieval
a IBB – Institute for Biotechnology and Bioengineering, Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal Department of Informatics/CCTC, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal Computer Science Department, University of Vigo, ESEI: Escuela Superior de Ingeniería Informática, Edificio Politécnico, Campus Universitario As ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2019
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2019.0101063