Matches in SemOpenAlex for { <https://semopenalex.org/work/W17538369> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W17538369 abstract "With the abundance of publicly available information on the Web reflecting the ever-changing nature of world events, one question naturally comes to our mind—how can we explain a specific using this vast amount of information? This enormous information source is freely available but its unstructured nature, and inherent noise demand sophisticated techniques to understand reasons behind any event. Modern day search engines are too general in nature. They only try to find documents which contain the query keyword(s) and supposedly most relevant, but this search method has an inherent limitation. At the end, they are just query matching engines. They do not have and do not require an understanding of the domain knowledge and specialized document processing techniques to provide an explanation of any event. By the word event we mean an occurrence to which we can associate a time, e.g.the IBM stock price went up in the third week of June, 2004, or More than 1.5 million people lost electricity in Florida in September 2004. Newspapers or on-line news articles are full of events like these. Though these articles are important and useful information sources, they are noisy and unstructured compared to structural information sources such as relational databases. In this thesis, I propose a novel assembly of techniques which can be applied on unstructured information sources such as news articles, news reports, or other text-based documents. These techniques, applied in a step-by-step fashion, will permit proper analysis of the information source and can provide text-based explanations for major events that have occurred during a given time-frame. Given a noisy, unstructured, weekly-organized source of information, our method can reduce noise with high precision, sort them (according to specified attributes) with high accuracy, find relevance to the domain of concern with high precision, and at the end can show a text-based explanation (in the form of keywords, phrases or even sentences) for a particular event." @default.
- W17538369 created "2016-06-24" @default.
- W17538369 creator A5001294898 @default.
- W17538369 creator A5065362601 @default.
- W17538369 date "2005-01-01" @default.
- W17538369 modified "2023-09-27" @default.
- W17538369 title "Automatic text-based explanation of events" @default.
- W17538369 hasPublicationYear "2005" @default.
- W17538369 type Work @default.
- W17538369 sameAs 17538369 @default.
- W17538369 citedByCount "0" @default.
- W17538369 crossrefType "journal-article" @default.
- W17538369 hasAuthorship W17538369A5001294898 @default.
- W17538369 hasAuthorship W17538369A5065362601 @default.
- W17538369 hasConcept C105795698 @default.
- W17538369 hasConcept C112698675 @default.
- W17538369 hasConcept C121332964 @default.
- W17538369 hasConcept C136764020 @default.
- W17538369 hasConcept C144133560 @default.
- W17538369 hasConcept C171250308 @default.
- W17538369 hasConcept C192562407 @default.
- W17538369 hasConcept C201280247 @default.
- W17538369 hasConcept C23123220 @default.
- W17538369 hasConcept C2522767166 @default.
- W17538369 hasConcept C2778095710 @default.
- W17538369 hasConcept C2779662365 @default.
- W17538369 hasConcept C33923547 @default.
- W17538369 hasConcept C41008148 @default.
- W17538369 hasConcept C62520636 @default.
- W17538369 hasConcept C70388272 @default.
- W17538369 hasConceptScore W17538369C105795698 @default.
- W17538369 hasConceptScore W17538369C112698675 @default.
- W17538369 hasConceptScore W17538369C121332964 @default.
- W17538369 hasConceptScore W17538369C136764020 @default.
- W17538369 hasConceptScore W17538369C144133560 @default.
- W17538369 hasConceptScore W17538369C171250308 @default.
- W17538369 hasConceptScore W17538369C192562407 @default.
- W17538369 hasConceptScore W17538369C201280247 @default.
- W17538369 hasConceptScore W17538369C23123220 @default.
- W17538369 hasConceptScore W17538369C2522767166 @default.
- W17538369 hasConceptScore W17538369C2778095710 @default.
- W17538369 hasConceptScore W17538369C2779662365 @default.
- W17538369 hasConceptScore W17538369C33923547 @default.
- W17538369 hasConceptScore W17538369C41008148 @default.
- W17538369 hasConceptScore W17538369C62520636 @default.
- W17538369 hasConceptScore W17538369C70388272 @default.
- W17538369 hasLocation W175383691 @default.
- W17538369 hasOpenAccess W17538369 @default.
- W17538369 hasPrimaryLocation W175383691 @default.
- W17538369 hasRelatedWork W187758167 @default.
- W17538369 hasRelatedWork W1993755899 @default.
- W17538369 hasRelatedWork W2004376709 @default.
- W17538369 hasRelatedWork W2049708798 @default.
- W17538369 hasRelatedWork W2282984969 @default.
- W17538369 hasRelatedWork W2403210192 @default.
- W17538369 hasRelatedWork W2403935922 @default.
- W17538369 hasRelatedWork W25262691 @default.
- W17538369 hasRelatedWork W2600322774 @default.
- W17538369 hasRelatedWork W2604700393 @default.
- W17538369 hasRelatedWork W2798768357 @default.
- W17538369 hasRelatedWork W280039078 @default.
- W17538369 hasRelatedWork W2945492173 @default.
- W17538369 hasRelatedWork W2945950025 @default.
- W17538369 hasRelatedWork W2963875796 @default.
- W17538369 hasRelatedWork W603872957 @default.
- W17538369 hasRelatedWork W88290828 @default.
- W17538369 hasRelatedWork W2187750914 @default.
- W17538369 hasRelatedWork W2465046936 @default.
- W17538369 hasRelatedWork W3085613370 @default.
- W17538369 isParatext "false" @default.
- W17538369 isRetracted "false" @default.
- W17538369 magId "17538369" @default.
- W17538369 workType "article" @default.