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Semantically Enhanced Information Retrieval System

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

Zhe Wang, Yingying Zhao, Hai Dong, Yulong Xu, Yali Lv
2021 Intelligent Automation and Soft Computing  
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

Riya A., VimalKumar B.
2017 International Journal of Computer Applications  
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  
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

Arjun Babu, Sindhu L.
2014 International Journal of Computer Applications  
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

May Sabai Han
2012 International Journal of Computer Applications Technology and Research  
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

James Z. Wang, William Taylor
2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)  
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

Chang Liu
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
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

R. Subhashini, V. Jawahar Senthil Kumar
2011 International Journal of Computer Applications  
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

Vinaitheerthan Renganathan
2017 Healthcare Informatics Research  
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]

Sonia Ordoñez-Salinas, Alexander Gelbukh
2010 Lecture Notes in Computer Science  
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]

Beniamino Di Martino
2010 Lecture Notes in Computer Science  
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

N. Vanjulavalli, A. Kovalan
2015 International Journal of Computer Applications  
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

Ming-Jer Lee, Lee-Feng Chien
1998 Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '98  
, 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]

S.Saraswathi, Asma Siddhiqaa.M, Kalaimagal.K, Kalaiyarasi.M
2010 arXiv   pre-print
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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