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Semantically Enhanced Information Retrieval System
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Semantically Enhanced Information Retrieval(SEIR) system can overcome the constraints of keyword based search. SEIR can semantically enhance the IR process. ...
retrieved. ...
Another approach on ontology based similarity for product information retrieval [6] proposes the idea of using ontologies to produce similarity measures that are based on semantics A Case Based Reasoning ...
doi:10.35940/ijitee.e2656.039520
fatcat:bvu3khyz4vgpzgqwdyykdmhe5a
Improved Algorithm Based on Decision Tree for Semantic Information Retrieval
2021
Intelligent Automation and Soft Computing
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We investigate the retrieval method, unstructured processing with different semantic data, extracting the attribute features of semantic information, creating a multi-layered structure for the attribute ...
Semantic information retrieval provides effective methods based on semantic comprehension, whose traditional models focus on multiple rounds of detection to differentiate information. ...
Natural language [27] is the language that people use every day, and natural language processing technology can effectively improve retrieval efficiency. ...
doi:10.32604/iasc.2021.016434
fatcat:ms3z67fcurg6xp5dxxth4morca
Novel approach to Case Based Reasoning System by aggregating Semantic Similarity Measures using Fuzzy Aggregation for Case Retrieval
2017
International Journal of Computer Applications
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Natural language Search is used in Case Based Reasoning Systems for searching the solution to the novel problem. ...
The proposed method include algorithms which calculate semantic similarity evaluated using different wordnet based semantic similarity measures and fuzzy aggregation. ...
Semantic Similarity Algorithms used For Case Retrieval For finding semantic similarity between two sentences, first we have to convert the natural language into semantic representation. ...
doi:10.5120/ijca2017913726
fatcat:bagqbnqpgbhdrbsxwp4obd6yjy
Associative Document Search using a Probabilistic Document Clustering
1998
Journal of Natural Language Processing
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A Probabilistic Model for Text Categorization: Based
on a. Single Random Variable with Multiple Values." In Proceedings of 4th Conference
on Applied Natural Language Processing, pp. 162-167. ...
Information
Retrieval:
Data
Structure •'
Algorithms.
Prentice
Hall.
Fuhr,
N.(1989)."Models
for Retrieval
with
Probabilistic
Indexing."
Information
Processing
Hearst, M. ...
doi:10.5715/jnlp.5.101
fatcat:fgi7mdzh35a6jaenyfp55nbyme
A Survey of Information Retrieval Models for Malayalam Language Processing
2014
International Journal of Computer Applications
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Information retrieval is concerned with the storage of text documents and their subsequent retrieval in response to user's requests for information. ...
There are several Information Retrieval models developed for efficient document retrieval. In this survey paper we describe major IR models which are used for various document retrieval purposes. ...
In the retrieval process the user submits the query in natural language and the system responds with a set of relevant documents in natural language. ...
doi:10.5120/18820-0230
fatcat:tm37gfyvrvbtfhyzzybow225bq
Semantic Information Retrieval based on Wikipedia Taxonomy
2012
International Journal of Computer Applications Technology and Research
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Determining semantic similarity between two terms is a crucial problem in Web Mining for such applications as information retrieval systems and recommender systems. ...
Information retrieval is used to find a subset of relevant documents against a set of documents. ...
Many natural language processing applications must estimate the semantic similarity of pairs of text fragments provided as input, e.g. information retrieval, summarization, or textual entailment. ...
doi:10.7753/ijcatr0201.1016
fatcat:tbteoangtfgrphg4pmdvz6rdbq
Concept Forest: A New Ontology-assisted Text Document Similarity Measurement Method
2007
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)
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Performance studies of text document clustering based on different document similarity measurement methods show that the CF-based similarity measurement is an effective alternative to the existing keywords-based ...
Although using ontologies to assist information retrieval and text document processing has recently attracted more and more attention, existing ontologybased approaches have not shown advantages over the ...
for information retrieval and text document processing. ...
doi:10.1109/wi.2007.11
dblp:conf/webi/WangT07
fatcat:byhme53t4fej5gejke6jmm5cje
Exploring and measuring dependency trees for informationretrieval
2008
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08
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Natural language processing techniques are believed to hold a tremendous potential to supplement the purely quantitative methods of text information retrieval. ...
This has led to the emergence of a large number of NLP-based IR research projects over the last few years, even though the empirical ...
models General Terms Design Keywords Dependency Tree, Tree Matching, Information Retrieval ...
doi:10.1145/1390334.1390567
dblp:conf/sigir/Liu08
fatcat:tkkujbamjvaujd35gddwf7qymq
Optimization of Internet Search based on Noun Phrases and Clustering Techniques
2011
International Journal of Computer Applications
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Information Retrieval plays a vital role in our daily activities and its most prominent role marked in search engines. Retrieval of the relevant natural language text document is of more challenge. ...
Here, we also proposed an approach for web search results clustering based on a phrase based clustering algorithm Known as Optimized Snippet Flat Clustering (OSFC). ...
SYSTEM OVERVIEW In this framework, Natural Language Processing tasks, Information Retrieval System (IRS) and phrase based document clustering are combined together. ...
doi:10.5120/2402-3195
fatcat:cvfys6zonvbgtkjjzbbtnnfrdy
Text Mining in Biomedical Domain with Emphasis on Document Clustering
2017
Healthcare Informatics Research
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Natural Language Processing Natural language processing [4, 10] is a tool that is used to analyze the language part of text documents through automated systems. ...
Search and Retrieval of Documents The first step involved in text mining is to search and retrieve documents using the information retrieval process [24] , which automatically retrieves documents based ...
doi:10.4258/hir.2017.23.3.141
pmid:28875048
pmcid:PMC5572517
fatcat:ckhjh2i4hbbfhjd2qs6eriibre
Information Retrieval with a Simplified Conceptual Graph-Like Representation
[chapter]
2010
Lecture Notes in Computer Science
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We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. ...
We implemented the process of information retrieval with simplified Conceptual Graphlike structures and compare the results with those of the vector space model. ...
The work was done during the first author's research stay at the Laboratorio de Lenguaje Natural y Procesamiento de Texto of the Centro de Investigación en Computación of the Instituto Politécnico Nacional ...
doi:10.1007/978-3-642-16761-4_9
fatcat:fzfby5hftjb5poqd6ibc6rheza
An Approach to Semantic Information Retrieval Based on Natural Language Query Understanding
[chapter]
2010
Lecture Notes in Computer Science
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In this paper we present an approach to semantic based Information Retrieval of semantically annotated documents, based on natural language understanding of the query, on its semantic representation through ...
an OWL query ontology, and on exact and approximate retrieval of semantically annotated documents, through SPARQL inference and structural graph matching. ...
I would like to thank Angelo Martone for the prototype implementation. ...
doi:10.1007/978-3-642-16985-4_19
fatcat:mmn4g3ucivb3rmdgif73q4xgxq
Enhancing the Performance of Feature Selection using a Hybrid Genetic Algorithm
2015
International Journal of Computer Applications
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In natural language, many words are ambiguous giving different meanings based on the context and situation. ...
The retrieval of web pages is more challenging due to the ambiguous nature of the unstructured information found in these pages. ...
During IR, words in natural language may have different meanings depending on the context leading to inefficient retrieval [14] . ...
doi:10.5120/ijca2015905700
fatcat:nuefibci65cnzoxlweiokimidi
Automatic acquisition of phrasal knowledge for English-Chinese bilingual information retrieval
1998
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '98
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, text classification and cross-language information retrieval, etc. ...
In addition to the increase of retrieval effectiveness, IR systems based on these techniques are expected able to perform much better in many aspects, such as automatic term suggestion, information filtering ...
., "Internet Chinese Information Retrieval Using Unconstrained Mandarin Speech Queries Based on A Client;Server Architecture and A PAT-tree-based Language Model", German, pp. 1155-1158 (ICASSP'97). ...
doi:10.1145/290941.291041
dblp:conf/sigir/LeeC98
fatcat:gpy5vf3rj5gctj6oxbwcf4k77y
BiLingual Information Retrieval System for English and Tamil
[article]
2010
arXiv
pre-print
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In this process, a Ontological tree is built for the domain in such a way that there are entries in the above listed two languages in every node of the tree. ...
Based on the context, the keywords are translated to appropriate languages using the Ontological tree. A search is performed and documents are retrieved based on the keywords. ...
Module 3 : Information Retrieval Information retrieval is the process of retrieving relevant information from a pool of data. ...
arXiv:1004.4462v1
fatcat:t7w7nqcaybhc5edcfquwwhrvzy
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