CAS-based information retrieval in semi-structured documents: CASISS model Article Swipe
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1016/j.jides.2016.11.004
This paper aims to address the assessment the similarity between documents or pieces of documents. For this purpose we have developed CASISS (CAlculation of SImilarity of Semi-Structured documents) method to quantify how two given texts are similar. The method can be employed in wide area of applications including content reuse detection which is a hot and challenging topic. It can be also used to increase the accuracy of the information retrieval process by taking into account not only the presence of query terms in the given document (Content Only search — CO) but also the topology (position continuity) of these terms (based on Content And Structure Search — CAS). Tracking the origin of the information in social media, copy right management, plagiarism detection, social media mining and monitoring, digital forensic are among other applications require tools such as CASISS to measure, with a high accuracy, the content overlap between two documents. CASISS identify elements of semi-structured documents using elements descriptors. Each semi-structured document is pre-processed before the extraction of a set of elements descriptors, which characterize the content of the elements.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jides.2016.11.004
- OA Status
- hybrid
- Cited By
- 3
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2559849995
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2559849995Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.jides.2016.11.004Digital Object Identifier
- Title
-
CAS-based information retrieval in semi-structured documents: CASISS modelWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-12-01Full publication date if available
- Authors
-
Larbi Guezouli, Hassane EssafiList of authors in order
- Landing page
-
https://doi.org/10.1016/j.jides.2016.11.004Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.jides.2016.11.004Direct OA link when available
- Concepts
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Information retrieval, Computer science, Similarity (geometry), Set (abstract data type), Process (computing), Reuse, Social media, Data mining, World Wide Web, Artificial intelligence, Image (mathematics), Biology, Operating system, Ecology, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2021: 1, 2019: 2Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.increase | 64 |
| abstract_inverted_index.measure, | 140 |
| abstract_inverted_index.presence | 79 |
| abstract_inverted_index.quantify | 30 |
| abstract_inverted_index.similar. | 36 |
| abstract_inverted_index.topology | 95 |
| abstract_inverted_index.(position | 96 |
| abstract_inverted_index.Structure | 105 |
| abstract_inverted_index.accuracy, | 144 |
| abstract_inverted_index.detection | 50 |
| abstract_inverted_index.developed | 20 |
| abstract_inverted_index.documents | 10, 156 |
| abstract_inverted_index.elements. | 180 |
| abstract_inverted_index.including | 47 |
| abstract_inverted_index.retrieval | 70 |
| abstract_inverted_index.SImilarity | 24 |
| abstract_inverted_index.assessment | 6 |
| abstract_inverted_index.detection, | 122 |
| abstract_inverted_index.documents) | 27 |
| abstract_inverted_index.documents. | 14, 150 |
| abstract_inverted_index.extraction | 167 |
| abstract_inverted_index.plagiarism | 121 |
| abstract_inverted_index.similarity | 8 |
| abstract_inverted_index.challenging | 56 |
| abstract_inverted_index.continuity) | 97 |
| abstract_inverted_index.information | 69, 114 |
| abstract_inverted_index.management, | 120 |
| abstract_inverted_index.monitoring, | 127 |
| abstract_inverted_index.(CAlculation | 22 |
| abstract_inverted_index.applications | 46, 133 |
| abstract_inverted_index.characterize | 175 |
| abstract_inverted_index.descriptors, | 173 |
| abstract_inverted_index.descriptors. | 159 |
| abstract_inverted_index.pre-processed | 164 |
| abstract_inverted_index.Semi-Structured | 26 |
| abstract_inverted_index.semi-structured | 155, 161 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5066643558 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I162489102 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.87570812 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |