Concept search is the process of searching for specific concepts or ideas within a dataset or a collection of documents. Concept search can be accomplished using a variety of techniques, including keyword search, natural language processing, and machine learning.
One way to accomplish concept search is to use keyword search, in which a user enters one or more keywords or phrases that are related to the concept they are searching for. The search engine then returns a list of documents or other resources that contain the keywords. Keyword search is fast and simple, but it can be limited in its ability to understand the meaning and context of the keywords.
Another way to accomplish concept search is to use natural language processing techniques to analyze the text and extract concepts from it. This can involve using techniques such as part-of-speech tagging, named-entity recognition, and semantic analysis to identify and classify the concepts in the text. Natural language processing can be more effective at understanding the meaning and context of the text, but it can be more computationally intensive and may require more specialized knowledge.
A third way to accomplish concept search is to use machine learning techniques to train a model to recognize and classify concepts in the text. This can involve training a model on a large dataset of labeled text, and then using the model to classify new text. Machine learning can be very effective at understanding the meaning and context of the text, but it can require a large amount of labeled training data and may require more computational resources.
- Concept dictionary is a collection of concepts and their definitions, organized in a dictionary format. A concept dictionary can be used to help understand and classify the concepts that are used in a particular domain or field, and it can be a useful resource for natural language processing and other applications that rely on a clear and consistent understanding of concepts.
- Concept mapping is the process of creating a visual representation of the relationships between different concepts. This can involve creating a diagram or graph that shows how different concepts are related to each other, and how they fit within a larger conceptual framework. Concept mapping can be a useful tool for organizing and understanding complex information, and it is often used in education and other fields to help clarify and communicate complex ideas.
- Conceptual graphs are a graphical representation of concepts and the relationships between them, developed by John Sowa. Conceptual graphs are used to represent the meaning of natural language statements, and they can be used to perform logical inferences and other operations on the meaning of the statements. Conceptual graphs are often used in artificial intelligence and natural language processing to represent and reason about the meaning of natural language inputs.
Visual-concept search solved? CGM Snoek, AWM Smeulders – Computer, 2010 – computer.org Interpreting the visual signal that enters the brain is an amazingly complex task, deeply rooted in life experience. Approximately half the brain is engaged in assigning a meaning to the incoming image, starting with the categorization of all visual concepts in the scene (SE … Cited by 53 Related articles All 16 versions
Video search in concept subspace: a text-like paradigm X Li, D Wang, J Li, B Zhang – Proceedings of the 6th ACM international …, 2007 – dl.acm.org … Further, two algorithms, ie, Linear Summation and Ran- dom Walk through Concept-Link, are explored to combine the concept search results and other baseline search results in a reranking scheme. This framework is both effective and efficient. … Cited by 66 Related articles All 5 versions
Concept search F Giunchiglia, U Kharkevich, I Zaihrayeu – The Semantic Web: Research …, 2009 – Springer Abstract In this paper we present a novel approach, called Concept Search, which extends syntactic search, ie, search based on the computation of string similarity between words, with semantic search, ie, search based on the computation of semantic relations between … Cited by 61 Related articles All 8 versions
Harvesting social images for bi-concept search X Li, CGM Snoek, M Worring… – … , IEEE Transactions on, 2012 – ieeexplore.ieee.org Abstract Searching for the co-occurrence of two visual concepts in unlabeled images is an important step towards answering complex user queries. Traditional visual search methods use combinations of the confidence scores of individual concept detectors to tackle such … Cited by 38 Related articles All 16 versions
Falcons concept search: A practical search engine for web ontologies Y Qu, G Cheng – Systems, Man and Cybernetics, Part A: …, 2011 – ieeexplore.ieee.org Abstract—Web ontologies provide shared concepts for describing do-main entities and thus enable semantic interoperability between applications. To facilitate concept sharing and ontology reusing, we developed Falcons Concept Search, a novel keyword-based … Cited by 22 Related articles All 7 versions
Concept search: Semantics enabled syntactic search F Giunchiglia, U Kharkevich, I Zaihrayeu – 2008 – eprints.biblio.unitn.it Historically, information retrieval (IR) has followed two principally different paths that we call syntactic IR and semantic IR. In syntactic IR, terms are represented as arbitrary sequences of characters and IR is performed through the computation of string similarity. In semantic IR, … Cited by 16 Related articles All 16 versions
Finding conceptual document clusters with improved top-n formal concept search Y Okubo, M Haraguchi – Proceedings of the 2006 IEEE/WIC/ACM …, 2006 – dl.acm.org Abstract In this paper, we discuss a method for conceptual clustering of documents. Our cluster is defined with the notion of Formal Concept Analysis which can provide a conceptual meaning for each document cluster. Our clustering is formalized as a Top-N\ … Cited by 15 Related articles All 6 versions
Fusing concept detection and geo context for visual search X Li, CGM Snoek, M Worring… – Proceedings of the 2nd …, 2012 – dl.acm.org … Note that the distribution varies over concepts, motivating us to exploit geo context for visual concept search. … Knowing where a picture was taken may reduce the uncertainty in interpreting its content, and thus improve visual concept search. … Cited by 17 Related articles All 11 versions
Concept search in Urdu K Riaz – Proceedings of the 2nd PhD workshop on Information …, 2008 – dl.acm.org Abstract This paper describes a thesis proposal to do concept search in non English and non European languages. Urdu is chosen as an example language because of its unique nature, morphology and a large number of speakers. Besides its importance, Urdu does … Cited by 7 Related articles
Case law retrieval by concept search and visualization EM Uijttenbroek, MCA Klein, AR Lodder… – Proceedings of the 11th …, 2007 – dl.acm.org Abstract The BEST-project (BATNA Establishment using Semantic web Technology, http://best-project. nl) strives to provide disputing parties with information about their legal position in a liability case. Our assumption is that through intelligent disclosure of Dutch … Cited by 5 Related articles All 10 versions
Concept-driven multi-modality fusion for video search XY Wei, YG Jiang, CW Ngo – Circuits and Systems for Video …, 2011 – ieeexplore.ieee.org … A successful search system is therefore expected to adaptively formulate a search strategy in multi-modality forms, and eventually return a set of relevant video clips. Popularly used modalities include text search, visual search, and concept search. Text search tries to … Cited by 43 Related articles All 14 versions
P2P Concept Search: some preliminary results F Giunchiglia, U Kharkevich, SRH Noori – 2009 – eprints.biblio.unitn.it Concept Search extends syntactic search, ie, search based on the computation of string similarity between words, with semantic search, ie, search based on the computation of semantic relations between complex concepts. It allows us to deal with ambiguity of … Cited by 4 Related articles All 9 versions
The evolution of MetaMap, a concept search program for biomedical text AR Aronson, FM Lang – Proceedings of Amia symp, 2009 – skr.nlm.nih.gov Page 1. The Evolution of MetaMap, A Concept Search Program for Biomedical Text Alan (Lan) R. Aronson François M. Lang AMIA 2009 S40: Semantic Modeling and Mapping November 16, 2009 US National Library of Medicine Page 2. Outline • Background … Cited by 4 Related articles All 2 versions
Search activity concept: relationship between behavior, health and brain functions VS Rotenberg – ANS: The Journal for Neurocognitive Research, 2009 – m.activitas.org … Search activity is a psychobiological concept relevant for both human and animals, while Cloninger is discuss- ing only personality dimensions. Search activity concept relates behavior to body resis- tance and emphasizes the importance of the process of search for survival. … Cited by 23 Related articles All 7 versions
Interactive concept-based search using MOEA: the hierarchical preferences case G Avigad, A Moshaiov, N Brauner – International Journal of Computational …, 2005 – Citeseer … Such a situation is common in conceptual design. The first IEC treatment of the concept-based MOP has been suggested in [1,2]. The interest is in supporting humans, such as planners or designers, by computers, during concept search and selection. … Cited by 15 Related articles All 3 versions
Search control, utility, and concept induction B Carlson, J Weinberg, D Fisher – Proceedings of the Second …, 2014 – books.google.com Page 94. Search Control, Utility, and Concept Induction 85 Search Control, Utility, and Concept Induction” Brian Carlson, Jerry Weinberg, & Doug Fisher Department of Computer Science Box 1679, Station B Vanderbilt University … Cited by 10 Related articles All 2 versions
Keyword-based concept search on consumer photos by web-based kernel function PT Wu, YH Yang, KT Chen, WH Hsu, TH Li… – Proceedings of the 16th …, 2008 – dl.acm.org Abstract In light of the strong demands for semantic search over large-scale consumer photos, which generally lack reliable user-provided annotations, we investigate the feasibility and challenges entailed by the new paradigm, concept search-retrieving visual … Cited by 2 Related articles All 6 versions
A consumer video search system by audio-visual concept classification W Jiang, AC Loui, P Lei – Computer Vision and Pattern …, 2012 – ieeexplore.ieee.org … The system supports the query-by- example access mechanism, by exploiting the query-by- concept search paradigm underneath, where online con- cept classification is conducted over the query video by in- tegrating both visual and audio information. … Cited by 2 Related articles All 2 versions
Kanshinji Antenna: A japanese-language concept search system K Bessho, O Furuse, R Kataoka… – International journal of …, 2007 – Taylor & Francis We propose a concept search system called Kanshinji Antenna that searches for documents with semantic content similar to that of the input text. In this system, concept vectors are statistically generated as the semantic expressions of words, and the similarities between … Cited by 2 Related articles All 2 versions
Two-layered architecture for peer-to-peer concept search D Janakiram, F Giunchiglia, H Haridas, U Kharkevich – 2011 – eprints.biblio.unitn.it The current search landscape consists of a small number of centralized search engines posing serious issues including centralized control, resource scalability, power consumption and inability to handle long tail of user interests. Since, the major search engines use … Cited by 2 Related articles All 4 versions
Modeling concept dynamics for large scale music search J Shen, HH Pang, M Wang, S Yan – … of the 35th international ACM SIGIR …, 2012 – dl.acm.org … To cope with their increasing scale, we need effective Music In- formation Retrieval (MIR) capabilities like tagging, concept search and clustering. Integral to MIR is a framework for modelling mu- sic documents and generating discriminative signatures for them. … Cited by 9 Related articles All 5 versions
Multistep expansion based concept search for intelligent exploration of ontologies K Kozaki, Y Kitagawa – Proceedings of the 2nd International Workshop …, 2013 – dl.acm.org Abstract Recently, there are various semantic data such as linked data, knowledge graph, ontologies and so on. How to explore them and get appropriate information are very important techniques for intelligent application systems based on them. In this article, we … Cited by 1 Related articles All 5 versions
Concept Search: Semantics Enabled Information Retrieval F Giunchiglia, U Kharkevich, I Zaihrayeu – 2010 – eprints.biblio.unitn.it In this paper we present a novel approach, called Concept Search, which extends syntactic search, ie, search based on the computation of string similarity between words, with semantic search, ie, search based on the computation of semantic relations between … Cited by 1 Related articles All 5 versions
Personalized concept-based search and exploration on the web of data using results categorization M Sah, V Wade – The Semantic Web: Semantics and Big Data, 2013 – Springer Page 1. P. Cimiano et al. (Eds.): ESWC 2013, LNCS 7882, pp. 532–547, 2013. © Springer-Verlag Berlin Heidelberg 2013 Personalized Concept-Based Search and Exploration on the Web of Data Using Results Categorization Melike Sah and Vincent Wade … Cited by 5 Related articles All 4 versions
Concept search: semantics enabled information retrieval U Kharkevich – 2010 – eprints-phd.biblio.unitn.it The goal of information retrieval (IR) is to map a natural language query, which specifies the user information needs, to a set of objects in a given collection, which meet these needs. Historically, there have been two major approaches to IR that we call syntactic IR and … Cited by 2 Related articles All 2 versions
Object oriented implementation of Concept-Based User Profiles from Search Engine Logs N Budati, GA Rao, U Nanaji – Citeseer … V. EXPERIMENTAL RESULTS In this paper , we implement the program using JAVA technologies. The following Fig shows the query page which consists of Normal Search and Concept search. … Fig 4 (a) Query Page for Concept Search Fig 4 (b) Results for Concept Search VI. … Related articles All 2 versions
Crowd-Sourcing Fuzzy and Faceted Classification for Concept Search R Absalom, M Luczak-Rosch, D Hartmann… – arXiv preprint arXiv: …, 2014 – arxiv.org Abstract: Searching for concepts in science and technology is often a difficult task. To facilitate concept search, different types of human-generated metadata have been created to define the content of scientific and technical disclosures. Classification schemes such as … Related articles All 6 versions
Crowd-Sourcing Fuzzy and Faceted Classification for Concept Search 1 R Absalom – 2014 – Citeseer Abstract Searching for concepts in science and technology is often a difficult task. To facilitate concept search, different types of human-generated metadata have been created to define the content of scientific and technical disclosures. Classification schemes such as …
Concept Search: Concept, Information retrieval, Concept mining, Computational linguistics, Information extraction, Latent semantic indexing, Latent semantic… … FP Miller, AF Vandome, J McBrewster – 2009 – dl.acm.org Abstract High Quality Content by WIKIPEDIA articles! A concept search (or conceptual search) is an automated information retrieval method that is used to search electronically stored unstructured text (for example, digital archives, email, scientific literature, etc.) for …
Semantic Concept Search based on Triple Matching Approach AR Yauri, RA Kadir, A Azman… – Journal of …, 2015 – search.proquest.com Abstract Retrieving data based on the semantics of document has revolutionized the effectiveness of the retrieval process. The concept of semantic technology enables storage and manipulation of data semantically which has shown promising increase in the … Related articles All 2 versions
Enriching Concept Search across Semantic Web Ontologies. C Gavankar, V Kumar, YF Li… – … Web Conference (Posters …, 2013 – files.ifi.uzh.ch Abstract. Semantic Web ontologies are fast-growing knowledge sources on the Web. Searching relevant concepts from this large repository is a challenging problem. The current Semantic Web search engines provide either (1) coarse-grained search over ontologies … Related articles All 7 versions
Sentiment prediction based on valence and arousal using concept search engine P Ajitha, G Gunasekaran – … and Control (ISCO), 2015 IEEE 9th …, 2015 – ieeexplore.ieee.org Abstract-In order to predict the intensity of valence and arousal of the terms contained in a blog post we use the text mining subfield such as emotion mining. It is used to infer the opinion or emotion or sentiment and represent the inference result in the form of ordinal …
[BOOK] Finding Conceptual Document Clusters Based on Top-N Formal Concept Search: Pruning Mechanism and Empirical Effectiveness Y Okubo, M Haraguchi – 2011 – intechopen.com We often rely on the World Wide Web as useful and rich resources of information and knowledge. A large number of web pages (documents) are on the Internet and we can easily browse and enjoy them anytime. It is, however, not so easy to efficiently find useful pages … Related articles All 5 versions
Context-driven Concept Search across Web Ontologies using Keyword Queries C Gavankar, YF Li, G Ramakrishnan – Proceedings of the 8th …, 2015 – dl.acm.org Abstract Concepts in ontologies can be used in many scenarios, including annotation of online resources, automatic ontology population, and document classification to improve web search results. Collectively, tens of millions of concepts have been defined in a large …
Deep First Formal Concept Search T Zhang, H Li, W Hong, X Yuan, X Wei – The Scientific World Journal, 2014 – hindawi.com The calculation of formal concepts is a very important part in the theory of formal concept analysis (FCA); however, within the framework of FCA, computing all formal concepts is the main challenge because of its exponential complexity and difficulty in visualizing the … Related articles All 8 versions
Two-layered architecture for peer-to-peer concept search F Giunchiglia, H Haridas, U Kharkevich – 2011 – km.aifb.kit.edu ABSTRACT The current search landscape consists of a small number of centralized search engines posing serious issues including centralized control, resource scalability, power consumption and inability to handle long tail of user interests. Since, the major search … Related articles All 2 versions
Combining concept search and classical search for enhanced focused domain specific retrieval E Abdelhamid, SR El-Beltagy… – Journal of Emerging …, 2013 – reference.sabinet.co.za Information retrieval has shown huge impact on both research and industry, many contributions have been done in the area, and many commercial systems have been developed. Though, due to generality, information retrieval systems lack precision and …
Use of a Core Concept Search Tool for the Information Literacy Education of Undergraduate Students V Redfern – 2012 – canberra.edu.au The problem that this research is attempting to inform and address is that first, undergraduate students and students who are attending university for the first time experience difficulty in determining research terms for academic research, finding … Related articles
Combining Faceted Classification and Concept Search: A Pilot Study K Yang – ?????????, 2014 – dbpia.co.kr This study reports the first step in the Classification-based Search and Knowledge Discovery (CSKD) project, which aims to combine information organization and retrieval approaches for building digital library applications. In this study, we explored the generation and … Related articles
Spatio concept relation accompanied interface to bridge semantic gap of video search and retrieval L Ranathunga, NA Abdullah… – … (WICT), 2012 World …, 2012 – ieeexplore.ieee.org … Figure 3 shows the interface of SCABS. This interface gives an impression of a frame arrangement and provides an opportunity to select the required visual concept association according to the four spatial regions compared to previous generic visual concept search. … Related articles
Complex-query web image search with concept-based relevance estimation D Guo, P Gao – World Wide Web, 2015 – Springer
Concept Level Web Search Via Semantic Clustering N Yan, D Khazanchi – Computational Science–ICCS 2007, 2007 – Springer Page 1. Y. Shi et al. (Eds.): ICCS 2007, Part III, LNCS 4489, pp. 806–812, 2007. © Springer-Verlag Berlin Heidelberg 2007 Concept Level Web Search Via Semantic Clustering Nian Yan and Deepak Khazanchi College of Information … Related articles All 4 versions
Image Annotation by Concept Level Search Using PLSA Y ZHENG, T TAKIGUCHI, Y ARIKI – me.cs.scitec.kobe-u.ac.jp … It can be seen that the precision will change with different number of topics. Meanwhile noisy or irrelevant words resulting in some drop in pre- cision can be improved by concept search.We chose the best parameter K which gets the highest precision. … Related articles All 2 versions