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Page 390 of Computational Linguistics Vol. 32, Issue 3 [page]

2006 Computational Linguistics  
In the VSM approach to information retrieval, queries and documents are represented by vectors.  ...  Latent Semantic Analysis enhances the VSM approach to information retrieval by using the Singular Value Decomposition (SVD) to smooth the vectors, which helps  ... 

The construction of a juridical ontology

Isa Mara da Rosa Alves, Rove Luiza de Oliveira Chishman, Paulo Miguel Torres, Duarte Quaresma
2007 Proceedings of the 11th international conference on Artificial intelligence and law - ICAIL '07  
Domain ontologies are important resources in several tasks related to the language processing, especially in those related to information retrieval and extraction in textual bases.  ...  Information retrieval or even question and answer systems can benefit from the domain knowledge represented in an ontology.  ...  not possible using the semantic roles approach.  ... 
doi:10.1145/1276318.1276335 dblp:conf/icail/AlvesCTQ07 fatcat:mmbpz3zs6fc4vnsvnvc56aumim

Ontology-Based Semantic Annotations for Biochip Domain [chapter]

Khaled Khelif, Rose Dieng-Kuntz
2004 Lecture Notes in Computer Science  
Finally, we argue that ontology-based semantic annotation can improve information retrieval. T 2 T Ontology GALEN. http://www.opengalen.org, 2001  ...  Furthermore, we evaluate and discuss our method by applying it to the annotation of textual corpus provided by biologists working in the biochip domain.  ...  Since this phase of validation is based on information retrieval, our approach rests on the semi-automatic generation of semantic annotations for scientific articles in the DNA-microarray domain.  ... 
doi:10.1007/978-3-540-30202-5_38 fatcat:26bx3nxhnndfte6xr2zxfwwkfu

Ontology-based Query Expansion for Arabic Text Retrieval

Waseem Alromima, Ibrahim F., Rania Elgohary, Mostafa Aref
2016 International Journal of Advanced Computer Science and Applications  
In semantic web, the ontology plays a central role for the information retrieval, which use to retrieves more relevant information from unstructured information.  ...  This paper presents a semantic-based retrieval system for the Arabic text, which expands the input query semantically using Arabic domain ontology.  ...  Besides, ontologies play a major role in support information search and retrieval processes for the Arabic language [4] .  ... 
doi:10.14569/ijacsa.2016.070830 fatcat:vzeq65bn3rbohfbngrhss7f5aq

An integrated semantic-based approach in concept based video retrieval

Sara Memar, Lilly Suriani Affendey, Norwati Mustapha, Shyamala C. Doraisamy, Mohammadreza Ektefa
2011 Multimedia tools and applications  
In this study, an integrated semantic-based approach for similarity computation is proposed with respect to enhance the retrieval effectiveness in concept-based video retrieval.  ...  The proposed method is based on the integration of knowledge-based and corpus-based semantic word similarity measures in order to retrieve video shots for concepts whose annotations are not available for  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/s11042-011-0848-4 fatcat:pczs6ezapbgxpiurdidqxa3pqe

A Hybrid Approach for Measuring Semantic Similarity between Documents and its Application in Mining the Knowledge Repositories

Ms. K., Dr. Chidambaram
2016 International Journal of Advanced Computer Science and Applications  
Keywords-dataset documents; research similarity documents; ontology and corpus I.  ...  significance of document similarity measures, algorithms and to which type of text it can be applied Document similarity measures are of full text similarity, paragraph similarity, sentence similarity, semantic  ...  Semantic similarity plays a crucial role in information retrieval and text processing. This work provided an overview of semantic similarity and its existing approaches.  ... 
doi:10.14569/ijacsa.2016.070831 fatcat:bykdi24dsnbzllhgz2atbho5yy

A Semantic Approach for Entity Linking by Diverse Knowledge Integration incorporating Role-Based Chunking

Gerard Deepak, Naresh Kumar D, A Santhanavijayan
2020 Procedia Computer Science  
In this paper, an entity linking approach that rightly associates personalities has been proposed.  ...  With the development of the Semantic Web in recent times, semantic strategies are required to represent, reason and link entities.  ...  The reason was including irrelevant information in the data corpus collected was to ensure the reliability of the proposed role-based entity linking algorithm.  ... 
doi:10.1016/j.procs.2020.03.339 fatcat:lx2ihhxq3zhmhnxfspk7gkdwn4

Cross Lingual Semantic Search by Improving Semantic Similarity and Relatedness Measures [chapter]

Nitish Aggarwal
2012 Lecture Notes in Computer Science  
Although multilinguality of the web is a hurdle in information access, the rapid growth of the semantic web enables us to retrieve fine grained information across the language barrier.  ...  Secondly, we focus on improving the semantic similarity and relatedness measures, to overcome the semantic gap between the vocabulary in the knowledge base and the terms appearing in the query.  ...  With this approach, cross-lingual information retrieval at document level can also be performed, if the documents are already marked up with the structured knowledge base.  ... 
doi:10.1007/978-3-642-35173-0_26 fatcat:rxd3pjwgevf4rd2frzcu4ysvh4

Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical Domain

Aicha Ghoulam, Fatiha Barigou, Ghalem Belalem, Farid Meziane
2018 International Journal of Intelligent Information Technologies  
Experiments on a collection of real clinical reports show that our approach reveals interesting improvements in precision, recall and MAP in medical information retrieval.  ...  In this paper, we present a query expansion method that uses medical entities and their semantic relations in the query context based on an external resource in OWL.  ...  Yangyang et al. ( 2017 ) proposed a semantic-based multi-analysis approach for medical information retrieval.  ... 
doi:10.4018/ijiit.2018070101 fatcat:sr4doh5zv5hpbd25nqthhml5dm

A synergistic strategy for combining thesaurus-based and corpus-based approaches in building ontology for multilingual search engines

Leyla Zhuhadar
2016 Figshare  
In this article we illustrate a methodology for building cross-language search engine. A synergisticapproach between thesaurus-based approach and corpus-based approach is proposed.  ...  Second, term vector translation isused – a statistical multilingual text retrieval techniques that maps statistical information about termuse between languages (Ontology co-learning).  ...  Corpus-based Approach. Those techniques are exactly the same techniques used for monolingual information retrieval system.  ... 
doi:10.6084/m9.figshare.3423686.v1 fatcat:h7un4wlxyfg67avecgk7ub36qu

Textual Similarity Measurement Approaches: A Survey (1)

Amira Abo-Elghit, Aya Al-Zoghby, Taher Hamza
2020 The Egyptian Journal of Language Engineering  
Measuring textual similarity tends to have an increasingly important turn in related topics like text classification, recovery of specific information from data, clustering, topic retrieval, subject tracking  ...  However, many approaches for measuring textual similarity have been presented for Arabic text reviewed and compared in this paper.  ...  [16] 2012 String-based such as (Block Distance, N-gram modeling) and Corpus-based such as Latent Semantic Analysis (LSA), Point-wise Mutual Information -Information Retrieval (PMI-IR) and Distributional  ... 
doi:10.21608/ejle.2020.42018.1012 fatcat:a2fhtkub7nazlkgzqewqbb7koi

Analyzing Semantic Concept Patterns to Detect Academic Plagiarism

Norman Meuschke, Nicolas Siebeck, Moritz Schubotz, Bela Gipp
2017 Proceedings of the 6th International Workshop on Mining Scientific Publications - WOSP 2017  
We present Semantic Concept Pattern Analysis -an approach that performs an integrated analysis of semantic text relatedness and structural text similarity.  ...  possible forms of plagiarism in academic documents.  ...  Corpus-based approaches exploit the idea that semantically related words occur in similar contexts to extract semantic information from large corpora.  ... 
doi:10.1145/3127526.3127535 dblp:conf/jcdl/MeuschkeSSG17 fatcat:c5okzmnrjvhrhp6mbvwa5kphvi

A Taxonomy and Survey of Semantic Approaches for Query Expansion

Muhammad Ahsan Raza, M. Rahmah, A. Noraziah, Maruf Pasha, Urooj Pasha
2019 IEEE Access  
In addition, we evaluate various semantic QE approaches in terms of knowledge structure utilization, corpus collection, baseline model adaptation, and retrieval performance.  ...  These methods do not consider search query semantics, thereby resulting in ineffective retrieval of information.  ...  In contrast, semantic QE approaches do not have such limitations as they are based on corpus-independent knowledge structures (e.g., a lexical thesaurus or ontology).  ... 
doi:10.1109/access.2019.2894679 fatcat:ohugfhrpzjadtpc5zv7uwabk4i

The Impact of Online Indexing in Improving Arabic Information Retrieval Systems

Tahar Dilekh, Saber Benharzallah, Ali Behloul
2018 Informatica (Ljubljana, Tiskana izd.)  
We illustrate application and the performance of this new method of indexing using an Arabic text editor and Information Retrieval tool developed and designed for this purpose.  ...  Finally, the paper proposes a solution to issues and deficiencies Arabic language processing suffers from, especially regarding corpora building and information retrieval evaluation systems.  ...  Indexing and retrieval tool for Arabic documents. to certain questions may provide considerable information about its role in the corpus [5] : what does it mean to ask if a word is significant in a corpus  ... 
doi:10.31449/inf.v42i4.2297 fatcat:elbuqblm45adjd7jwm6dhywwje

Information retrieval based on context distance and morphology

Hongyan Jing, Evelyne Tzoukermann
1999 Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99  
We present an approach to information retrieval based on context distance and morphology. Context distance is a measure we use to assess the closeness of word meanings.  ...  This context distance model measures semantic distances between words using the local contexts of words within a single document as well as the lexical co-occurrence information in the set of documents  ...  Sense-Based Retrieval The role of word sense disambiguation in information retrieval has been studied by several researchers.  ... 
doi:10.1145/312624.312661 dblp:conf/sigir/JingT99 fatcat:75vreowmubafngkxgf67xrk23q
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