Knowledge Reduction Information Retrieval Model in Pathology Medical Domain
نویسندگان
چکیده
منابع مشابه
Knowledge Reduction Information Retrieval Model in Pathology Medical Domain
We present an efficient intelligent information retrieval model using reduction of domain-specific expert knowledge, demonstrating its use in the pathology medical domain. We created an information retrieval model that incorporates domain-specific knowledge to provide knowledgeable answers to users. This model converts domain-specific knowledge to a relationship of terms represented as quantita...
متن کاملDomain Specific Knowledge-based Information Retrieval Model using Knowledge Reduction
Information is a meaningful collection of data. Information retrieval (IR) is an important tool for changing data to information. Of the three classical IR models (Boolean, Support Vector Machine, and Probabilistic), the Support Vector Machine (SVM) IR model is most widely used. But this model does not convey enough relevancies between a query and documents to produce effective results reflecti...
متن کاملInformation Extraction in Medical Domain Using Ontology and Knowledge Graphs
Medical documents contain lots of information which can be useful to build many health related applications. Since medical documents present unstructured information in nonstandard natural language so it is difficult to extract this information and present in a structured manner. We propose a model named "Feature Based Relation Extraction with Relational Learning using Medical Ontology" which m...
متن کاملDomain Knowledge Acquisition for Information Retrieval using Neural Networks
This paper presents the results of some experiments investigating the use of Neural Networks in the learning engine of an Connectionist Information Retrieval system called CIRS. CIRS uses the learning and generalisation capabilities of the Back Propagation learning algorithm to acquire and use application domain knowledge in the form of a sub-symbolic knowledge representation. This paper descri...
متن کاملKnowledge-based Information Retrieval
Unlike the world wide web or general libraries, digital 5braries typically serve a specialized community of experts sharing a relatively narrow focus, such as some aspect of law, science, technology, or business. Moreover, these experts are not -casual users ~; they have stringent. information requirements. For these reasons, digital libraries increasingly invest in sophisticated methods for in...
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: World Journal of Computer Application and Technology
سال: 2014
ISSN: 2331-4982,2331-4990
DOI: 10.13189/wjcat.2014.020502