Using Concept Space to Verify Hyponymy in Building a Hyponymy Lexicon

2009 ◽  
pp. 479-486 ◽  
Author(s):  
Lei Liu ◽  
Sen Zhang ◽  
Lu Hong Diao ◽  
Shu Ying Yan ◽  
Cun Gen Cao
Keyword(s):  
Concept Space

scholarly journals Concept Space Derivation and its Application in Query Categorization

2013 ◽  
Vol 70 (6) ◽  
pp. 14-22
Author(s):  
Yashodhara Haribhakta ◽  
Parag Kulkarni
Keyword(s):  
Concept Space

scholarly journals Global Agricultural Concept Space: lightweight semantics for pragmatic interoperability.

2019 ◽  
Author(s):  
Thomas Baker ◽  
Brandon Whitehead ◽  
Ruthie Musker ◽  
Johannes Keizer
Keyword(s):  
Data Sources ◽  
Bibliographic Databases ◽  
Food Technology ◽  
Web Content ◽  
Controlled Vocabularies ◽  
Research And Innovation ◽  
Concept Space ◽  
Image Metadata ◽  
Diverse Data

Abstract Progress on research and innovation in food technology depends increasingly on the use of structured vocabularies - concept schemes, thesauri, and ontologies - for discovering and re-using a diversity of data sources. Here we report on GACS Core, a concept scheme in the larger Global Agricultural Concept Space (GACS), which was formed by mapping between the most frequently used concepts of AGROVOC, CAB Thesaurus, and NAL Thesaurus and serves as a target for mapping near-equivalent concepts from other vocabularies. It provides globally unique identifiers which can be used as keywords in bibliographic databases, tags for web content, for building lightweight facet schemes, and for annotating spreadsheets, databases, and image metadata using synonyms and variant labels in 25 languages. The minimal semantics of GACS allows terms defined with more precision in ontologies, or less precision in controlled vocabularies, to be linked together making it easier to discover and integrate semantically diverse data sources.

An Ontology-Based Search Tool in the Semantic Web

2013 ◽  
pp. 221-249 ◽  
Author(s):  
Constanta-Nicoleta Bodea ◽  
Adina Lipai ◽  
Maria-Iuliana Dascalu
Keyword(s):  
Semantic Web ◽  
Lexical Database ◽  
Search Results ◽  
Concept Space ◽  
Ontological Approach ◽  
Search Tool ◽  
Clustering Search ◽  
Meta Search ◽  
Specific Interests ◽  
Initial List

The chapter presents a meta-search tool developed in order to deliver search results structured according to the specific interests of users. Meta-search means that for a specific query, several search mechanisms could be simultaneously applied. Using the clustering process, thematically homogenous groups are built up from the initial list provided by the standard search mechanisms. The results are more user-oriented, thanks to the ontological approach of the clustering process. After the initial search made on multiple search engines, the results are pre-processed and transformed into vectors of words. These vectors are mapped into vectors of concepts, by calling an educational ontology and using the WordNet lexical database. The vectors of concepts are refined through concept space graphs and projection mechanisms, before applying the clustering procedure. The chapter describes the proposed solution in the framework of other existent clustering search solutions. Implementation details and early experimentation results are also provided.

Multilingual Web Content Mining

2004 ◽  
pp. 88-100
Author(s):  
Rowena Chau ◽  
Chung-Hsing Yeh
Keyword(s):  
Information Filtering ◽  
User Profile ◽  
Linguistic Knowledge ◽  
Web Content ◽  
Self Organizing Maps ◽  
Web Documents ◽  
Web Content Mining ◽  
Concept Space ◽  
Content Mining ◽  
Multilingual Text

This chapter presents a novel user-oriented, concept-based approach to multilingual web content mining using self-organizing maps. The multilingual linguistic knowledge required for multilingual web content mining is made available by encoding all multilingual concept-term relationships using a multilingual concept space. With this linguistic knowledge base, a concept-based multilingual text classifier is developed. It reveals the conceptual content of multilingual web documents and forms concept categories of multilingual web documents on a concept-based browsing interface. To personalize multilingual web content mining, a concept-based user profile is generated from a user’s bookmark file to highlight the user’s topics of information interest on the browsing interface. As such, both explorative browsing and user-oriented, concept-focused information filtering in multilingual web are facilitated.

Exploring the Dynamics of Visual Events in the Multi-dimensional Semantic Concept Space

2006 ◽  
pp. 503-505
Author(s):  
Shahram Ebadollahi ◽  
Lexing Xie ◽  
Andres Abreu ◽  
Mark Podlaseck ◽  
Shih-Fu Chang ◽  
...  
Keyword(s):  
Semantic Concept ◽  
Visual Events ◽  
Concept Space

scholarly journals Visual Sensemaking of Massive Crowdsourced Data for Design Ideation

2019 ◽  
Vol 1 (1) ◽  
pp. 409-418
Author(s):  
Yuejun He ◽  
Bradley Camburn ◽  
Jianxi Luo ◽  
Maria C. Yang ◽  
Kristin L. Wood
Keyword(s):  
Language Processing ◽  
Future Research ◽  
Natural Languages ◽  
Concept Space ◽  
Word Clouds ◽  
Crowdsourced Data ◽  
New Ideas ◽  
Massive Number ◽  
Future Research Directions ◽  
Rich Information

AbstractTextual idea data from online crowdsourcing contains rich information of the concepts that underlie the original ideas and can be recombined to generate new ideas. But representing such information in a way that can stimulate new ideas is not a trivial task, because crowdsourced data are often vast and in unstructured natural languages. This paper introduces a method that uses natural language processing to summarize a massive number of idea descriptions and represents the underlying concept space as word clouds with a core-periphery structure to inspire recombinations of such concepts into new ideas. We report the use of this method in a real public-sector-sponsored project to explore ideas for future transportation system design. Word clouds that represent the concept space underlying original crowdsourced ideas are used as ideation aids and stimulate many new ideas with varied novelty, usefulness and feasibility. The new ideas suggest that the proposed method helps expand the idea space. Our analysis of these ideas and a survey with the designers who generated them shed light on how people perceive and use the word clouds as ideation aids and suggest future research directions.

Class expression induction as concept space exploration: From DL-Foil to DL-Focl

2020 ◽  
Vol 108 ◽  
pp. 256-272 ◽  
Author(s):  
Giuseppe Rizzo ◽  
Nicola Fanizzi ◽  
Claudia d’Amato
Keyword(s):  
Space Exploration ◽  
Concept Space
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