Hits 2.141 – 2.160 of 2.199
2141 |
BADIOU AND THE CONSEQUENCES OF FORMALISM
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In: http://cosmosandhistory.org/index.php/journal/article/viewFile/180/439/
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2142 |
Indira Gandhi Centre for Atomic Research
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In: http://research.ijais.org/volume4/number2/ijais12-450666.pdf
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2143 |
Flare Solutions Limited
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In: http://research.ijais.org/volume1/number1/ijais12-450723.pdf
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2144 |
O’Riain et al., Competitive Analysis of Business Filings Competitive Analysis of Business Filings Using Ontologies and Linguistic Analytics Completed Research-Paper
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In: http://www.edwardcurry.org/publications/SOR-CompetitiveAnalysisOfBusinessFilings.pdf
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2145 |
Ontologies as a Source for the Automatic Generation of Grammars for Information Extraction Systems
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In: http://ceur-ws.org/Vol-925/paper_3.pdf
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2146 |
Automatic construction of ontology from Arabic texts
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In: http://ceur-ws.org/Vol-867/Paper20.pdf
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2147 |
Identification of Ontologies
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In: http://iaks-www.ira.uka.de/iaks-calmet/papers/Id_Ontologies.pdf
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2148 |
Using Web Services to enhance Geographic Information Systems
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In: http://matwbn.icm.edu.pl/ksiazki/cc/cc35/cc3513.pdf
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2149 |
Knowledge Summarization for Scalable Semantic Data Processing
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In: http://www.jofcis.com/publishedpapers/2010_6_12_3893_3902.pdf
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2150 |
The 6th Workshop on Asian Languae Resources, 2008 Preliminary Chinese Term Classification for Ontology Construction
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In: http://aclweb.org/anthology/I/I08/I08-7003.pdf
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2151 |
Sociopolitical Thesaurus in Concept-based Information Retrieval
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In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/ageev05.pdf
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2152 |
A Harmony based Adaptive Ontology Mapping Approach
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In: http://www.sis.pitt.edu/~mingmao/paper/SWW3692.pdf
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2153 |
FAETON: Form Analysis and Extraction Tool for ONtology construction
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In: http://krono.act.uji.es/publications/pdf/Faeton-ijcat2010.pdf
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2154 |
A Hybrid Ontology Based Approach for Ranking Documents
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In: http://www.waset.org/journals/waset/v11/v11-139.pdf
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2155 |
American International
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In: http://research.ijcaonline.org/volume65/number13/pxc3886137.pdf
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2156 |
Mapping Composition for Matching Large Life Science Ontologies
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In: http://dbs.uni-leipzig.de/file/Mapping%20Composition%20for%20Matching%20Large%20Life%20Science%20Ontologies.pdf
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2157 |
Journal of the Association for Information Rethinking the Meaning of Identifiers in Information Infrastructures*
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2158 |
Abstract- First, Similarity Of Fuzzy Ontology Generation For Semantic Web, Fuzzy Formal Concept Analysis incorporates
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In: http://www.ijcsit.com/docs/Volume%203/vol3Issue4/ijcsit2012030471.pdf
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2159 |
DATA
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In: http://research.ijcaonline.org/volume54/number13/pxc3882490.pdf
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Abstract:
Generally the searcher either searches for exact information based on the query or just surf topics which interest them on websites. Naturally, when user enters a query related to some topics, they did not get exact result of what they want. If the system selected the relevant passages, grouping together, made it summarizing and fluently, and returned the resulting text it will be an advantage to the user. Otherwise, if the resulting summary is not relevant enough to searcher, the user can refine the query. Thus, as a result, summarization is used as a technique for improving querying. To ensure this technique they proposed to summarize the content of a temporal topic in existing work by using an anatomy based summarization method called Topic Summarization and Content Anatomy (TSCAN). A temporal similarity (TS) function is implemented to generate the event dependencies and context similarity to form an evolution graph of the topic search. In this paper, we are combining two methods for topic summarization. The first method is mainly based on termfrequency, while the second method is based on ontology. We will construct an ontology database for analyzing the main topics of the article using NPL tool. understanding of a number of disparate fields, including linguistics, computer science, and statistics.
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Keyword:
KEY WORDS; Ontology; Text summarization; TSCAN
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.101 http://research.ijcaonline.org/volume54/number13/pxc3882490.pdf
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2160 |
Commonsense causal explanation in a legal domain
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In: http://www.springerlink.com/content/dp7567u875240308/fulltext.pdf
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