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Integrating Semantic Term Relations into Information Retrieval Systems Based on Language Models [chapter]

Mohannad ALMasri, KianLam Tan, Catherine Berrut, Jean-Pierre Chevallet, Philippe Mulhem
2014 Lecture Notes in Computer Science  
Most information retrieval systems rely on the strict equality of terms between document and query in order to retrieve relevant documents to a given query.  ...  Therefore, we present an alternative approach to statistical translation models that formally incorporates semantic relations between indexing terms into language models.  ...  However, a few of them have focused on formal integration of semantic term relations into retrieval models.  ... 
doi:10.1007/978-3-319-12844-3_12 fatcat:unps4tldr5cincnuffwvwzi2yy

Techniques of Ontology and its Usage in Indian Languages - A Review

Rajveer Kaur, Saurabh Sharma
2015 International Journal of Computer Applications  
Ontology is presently an emerging research topic in the field of artificial intelligence, semantic web, and natural language processing, software engineering, and information architecture etc.  ...  This paper review has been carried out/done on the usage of different ontology building approaches in natural language processing and their usage on Indian languages.  ...  The system consists of three models: Ontology and Semantic Web based question"s semantic comprehension model, question similarity match model based on FAQ, and automatic answer fetching model based on  ... 
doi:10.5120/19975-1873 fatcat:klt7q4x4qff25mtjvoecrsgtuy

Integrating Query Context and User Context in an Information Retrieval Model Based on Expanded Language Modeling [chapter]

Rachid Aknouche, Ounas Asfari, Fadila Bentayeb, Omar Boussaid
2012 Lecture Notes in Computer Science  
In this paper, both types of context user context and query context are integrated in an Information Retrieval (IR) model based on language modeling.  ...  It is difficult to find a contextual information retrieval system that takes into account all contextual factors.  ...  The two contextual factors are integrated in one framework based on language modeling.  ... 
doi:10.1007/978-3-642-32498-7_19 fatcat:wqhpf3vtvfewbg3gwxwhhnzmni

Towards integrating semantics of multi-media resources and processes in e-Learning

Weihong Huang, Emmanuel Eze, David Webster
2006 Multimedia Systems  
The proposed semantic e-Learning framework enables intelligent operations of heterogeneous multi-media contents based on a generic semantic context intermediation model.  ...  To bring in new forces to knowledge-oriented e-Learning, this paper addresses the semantic integration issue of multimedia resources and learning processes with theoretical learning supports in an integrated  ...  Under the generic multi-media semantic integration framework and based on the context mediation model, we develop a prototype system-Context Manager (CONMAN) for multi-media semantics generation, integration  ... 
doi:10.1007/s00530-005-0009-6 fatcat:fty3jvlbvrfwlgsgsgvd3d2mqq

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.  ...  Se-mantic search seeks to enhance search precision by understanding searcher intent and along with the contextual significance of terms, as they seem within the searchable information space, whether on  ...  The information retrieval model is tested using the ArhiNet system an integrated information retrieval system for archive content, based on semantic enhancements.  ... 
doi:10.35940/ijitee.e2656.039520 fatcat:bvu3khyz4vgpzgqwdyykdmhe5a

The Use of Ontology in Retrieval: A Study on Textual, Multilingual and Multimedia Retrieval

Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Nasir Mahmood, Waqar Mahmood
2019 IEEE Access  
Ontological information retrieval systems retrieve data based on the similarity of semantics between the user query and the indexed data.  ...  Trivial keyword-based information retrieval systems highly depend on the statistics of data, thus facing word mismatch problem due to inevitable semantic and context variations of a certain word.  ...  Translating all terms perfectly is one of the biggest challenge for cross-language information retrieval system.  ... 
doi:10.1109/access.2019.2897849 fatcat:ei2zxyxdjndbvgzzue2indwqy4

A Semantic Information Retrieval Framework within the Scope of IPS2-PLM

Michael Abramovici, Philip Gebus, Jens Christian Göbel, Hoang Bao Dang
2016 Procedia CIRP  
This paper presents a framework that utilizes semantic and text mining techniques in order to improve the information retrieval process in IPS²-PLM and to allow IPS² actors to focus on their value-adding  ...  The vast amount of heterogeneous data generated throughout an IPS²'s lifecycle complicates the retrieval of required information for IPS² actors.  ...  It is based on our meta data reference model [20] and serves as an integrated information platform that unites different company specific data models.  ... 
doi:10.1016/j.procir.2016.03.083 fatcat:hwkbbrjz4fb5tarlgckuranee4

DoMoRe – A Recommender System for Domain Modeling

Henning Agt-Rickauer, Ralf-Detlef Kutsche, Harald Sack
2018 Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development  
The system incorporates a large network of semantically related terms built from natural language data sets integrated with mediator-based knowledge base querying in a single recommender system to provide  ...  Domain models describe concepts and relations of respective application fields using a modeling language and domain-specific terms.  ...  DoMoRe additionally integrates with several existing knowledge bases using mediator-based information retrieval of lexical information.  ... 
doi:10.5220/0006555700710082 dblp:conf/modelsward/Agt-RickauerKS18 fatcat:y5z2bytw75denorlsces3g5ve4

The use of ontologies for effective knowledge modelling and information retrieval

Kamran Munir, M. Sheraz Anjum
2018 Applied Computing and Informatics  
This paper discusses ontology-based information retrieval approaches and techniques by taking into consideration the aspects of ontology modelling, processing and the translation of ontological knowledge  ...  the searching capabilities of massively loaded information management systems.  ...  Introduction In information management systems, structured query formulation languages are one means of retrieving information.  ... 
doi:10.1016/j.aci.2017.07.003 fatcat:l5r2zvkuxfgt5c3fkjdn7mmb34

Design and development of semantic web-based system for computer science domain-specific information retrieval

Ritika Bansal, Sonal Chawla
2016 Perspectives in Science  
Thus, this research paper throws light on framework development for semantic web-based system that assists in efficient retrieval of domain-specific information, natural language query interpretation into  ...  So, the main objective of this research is design and development of semantic web-based system for integrating ontology towards domain-specific retrieval support.  ...  For this, ontology-based information retrieval system for computer science domain is designed which is known as IRSCSD system.  ... 
doi:10.1016/j.pisc.2016.04.067 fatcat:nhqekd63wnfglb25qqenyojtpm

Use of Semantic Web Technologies and Multilinguistic Thesauri for Knowledge-Based Access to Biomedical Resources

Anatoly Gladun, Julia Rogushina
2012 International Journal of Intelligent Systems and Applications  
For more relevant informational retrieval and matching of user request with metadata about biomedical informational recourses it is necessary to formulize the user knowledge about this subject domain.  ...  Efficient informational retrieval has to be semantically oriented and based on knowledge of some subject domain.  ...  STATEMENT OF RETRIEVAL PROBLEM Efficient informational retrieval in biomedical domain has to be semantically oriented and based on knowledge of subject domain.  ... 
doi:10.5815/ijisa.2012.01.02 fatcat:wno7h7hw5ja3pgwo7w3gpd2a7u

Activation on the Move: Querying Tourism Information via Spreading Activation [chapter]

Helmut Berger, Michael Dittenbach, Dieter Merkl
2003 Lecture Notes in Computer Science  
We describe a knowledge representation model, based on associative networks, for defining semantic relationships of terms.  ...  In this paper, we present an information retrieval system for tourism information that allows query formulation in natural language.  ...  A Natural Language Information Retrieval System The software architecture of our natural language information retrieval system is designed as a pipeline structure.  ... 
doi:10.1007/978-3-540-45227-0_47 fatcat:tcnmxaqgwfdjjm4tyb7f4atvia

A framework for OWL DL based Ontology Construction from Relational Database using Mapping and Semantic Rules

C. Ramathilagam, M. L. Valarmathi
2013 International Journal of Computer Applications  
One alternate to compensate for the rich set of data is to take the contents of Relational Data Base (RDB) for domain related applications in the Semantic Web.  ...  Ontologies are the web documents generated by Web Ontology Language to provide more precise web content, thus by improving the performance of information retrieval.  ...  The RDB constructs are based on FOL, this paper tries to provide a system which has the expressive and reasoning power of FOL into the Ontology.  ... 
doi:10.5120/13341-0776 fatcat:bv6xtulgjfdufgzeg5xt4xkyz4

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  
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  ...  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.  ...  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

Exploiting Social Annotations for Personalizing Retrieval

Eman Sayed, Abeer Korany, Akram Salah, Hesham Hefny
2017 International Journal of Intelligent Engineering and Systems  
So, it retrieved different results for the same query based on the user's interests.  ...  This paper proposes exploiting social annotations for improving retrieval based on personalization. The personalization focuses on web resources and retrieval process.  ...  The sub models were language annotation model, document model, user model, and query model. Z. ZHOU proposed social information retrieval based on user interesting mining.  ... 
doi:10.22266/ijies2017.1231.21 fatcat:25wha56rlnaujippisqsen6cvi
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