Journal Article10.1145/2814568
Constructing Maintainable Semantic Relation Network from Ambiguous Concepts in Web Content
5
TL;DR: Experimental results show that CRN effectively enhances applications by considering the heterogenous and polysemous nature of web content, and two applications for CRN are presented: search engine and web analytic and semantic information retrieval.
read more
Abstract: The semantic network is a form of knowledge that represents various relationships between concepts with ambiguity. The knowledge can be employed to identify semantically related objects. It helps, for example, a recommender system to generate effective recommendations to the users. We propose to study a new semantic network, namely, the Concept Relation Network (CRN), which is efficiently constructed and maintained using existing web search engines. CRN tackles the uncertainty and dynamics of web content, and thus is optimized for many important web applications, such as social networks and search engines. It is a large semantic network for the collection, analysis, and interpretation of web content, and serves as a cornerstone for applications such as web search engines, recommendation systems, and social networks that can benefit from a large-scale knowledge base. In this article, we present two applications for CRN: (1) search engine and web analytic and (2) semantic information retrieval. Experimental results show that CRN effectively enhances these applications by considering the heterogenous and polysemous nature of web content.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Systematic review of the "semantic network" definitions
Hernane Borges de Barros Pereira,Marcos Grilo Rosa,Inácio de Sousa Fadigas,Cleônidas Tavares de Souza Junior,Marcelo do Vale Cunha,Renata Souza Freitas Dantas Barreto,Júlia Carvalho Andrade,Trazíbulo Henrique +7 more
TL;DR: A systematic review of the literature with the aim of identifying and classifying the family of semantic network definitions adopted by the authors of the studies reviewed is presented in this paper , where the authors analyzed aspects such as the mathematical representation used, vertices and edges representation, the attribution of meanings to each network component and the semantic network representation.
13
Enhancing N-Gram Based Metrics with Semantics for Better Evaluation of Abstractive Text Summarization
TL;DR: Experimental results over the TAC AESOP dataset show that the metrics improved by the methods are well correlated with human judgements and can be used to better evaluate abstractive summarization methods.
4
Index of Terms
Jonathan Martineau
- 01 Jan 2015
TL;DR: In this paper, Bewußtsein defined the concept of organization and its application in the following categories: capitalism/capitalistic, cause/consistency, causal power and causal power 25−26 character 2, 11, 14, 22, 29, 42, 51 n.
3
Process-Based Knowledge Organization
TL;DR: This paper makes a useful contribution by proposing process-based knowledge organization as well as providing a visual representation of learning paths that explicitly prompt people to follow a logical process for effective learning.
Pairwise Judgment Formulation for Semantic Embedding Model in Web Search
TL;DR: This paper investigates strategies for generating pairwise judgments for Semantic Embedding Model (SEM) in Web search, revealing that conventional LTR methods are not effective, and proposing a hybrid heuristic (Clicked>Non-Clicked) for training SEM.
References
•Proceedings Article
The PageRank Citation Ranking : Bringing Order to the Web
Lawrence Page,Sergey Brin,Rajeev Motwani,Terry Winograd +3 more
- 11 Nov 1999
TL;DR: This paper describes PageRank, a mathod for rating Web pages objectively and mechanically, effectively measuring the human interest and attention devoted to them, and shows how to efficiently compute PageRank for large numbers of pages.
16.4K
WordNet : an electronic lexical database
TL;DR: The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
14.4K
Yago: a core of semantic knowledge
Fabian M. Suchanek,Gjergji Kasneci,Gerhard Weikum +2 more
- 08 May 2007
TL;DR: YAGO as discussed by the authors is a light-weight and extensible ontology with high coverage and quality, which includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as HASONEPRIZE).
Searching the World Wide Web
Steve Lawrence,C. Lee Giles +1 more
TL;DR: The coverage and recency of the major World Wide Web search engines was analyzed, yielding some surprising results, including a lower bound on the size of the indexable Web of 320 million pages.
Accessibility of information on the Web
Steve Lawrence,C. Lee Giles +1 more
TL;DR: A random sample of servers was obtained and analysed to investigate the amount and distribution of information on the web and the six major public search engines collectively covered about 60% of the web.
1.1K