Finding Similar Patents through Semantic Query Expansion
نویسندگان
چکیده
منابع مشابه
Query expansion based on relevance feedback and latent semantic analysis
Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
متن کاملquery expansion based on relevance feedback and latent semantic analysis
web search engines are one of the most popular tools on the internet which are widely-used by expert and novice users. constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. query expansion is a way to reduce this concern and increase user satisfaction. in this paper, a new method of query expa...
متن کاملContext – Sensitive Semantic Query Expansion
Modern Information Retrieval Systems match the terms included in a user’s query with available documents, through the use of an index. A fuzzy thesaurus is used to enrich the query with associated terms. In this work, we use semantic entities, rather than terms; this allows us to use knowledge stored in a semantic encyclopedia, specifically the ordering relations, in order to perform a semantic...
متن کاملOntologies-driven Semantic Query Expansion
The goal of query expansion is to reduce the mismatch between documents and queries by expanding the query using words or phrases with a similar meaning or some other statistical relation to the set of relevant documents. One of the limitations with query expansion techniques is that a query is often expanded only by the linguistic features of terms. To tackle this problem, we propose a novel s...
متن کاملLatent Semantic Indexing with selective Query Expansion
This article describes our experiments during participation in the Legal Track of the 2011 Text Retrieval Conference. We incorporated machine learning, via selective query expansion, into our existing EDLSI system. We also were able to expand the number of dimensions used within our EDLSI system. Our results show that EDLSI is an effective technique for E-Discovery. We also have shown that sele...
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: Procedia Computer Science
سال: 2015
ISSN: 1877-0509
DOI: 10.1016/j.procs.2015.06.045