Compositional Information Extraction Methodology from Medical Reports View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Pratibha Rani , Raghunath Reddy , Devika Mathur , Subhadip Bandyopadhyay , Arijit Laha

ABSTRACT

Currently health care industry is undergoing a huge expansion in different aspects. Advances in Clinical Informatics (CI) are an important part of this expansion process. One of the goals of CI is to apply Information Technology for better patient care service provision through two major applications namely electronic health care data management and information extraction from medical documents. In this paper we focus on the second application. For better management and fruitful use of information, it is necessary to contextually segregate important/relevant information buried in a huge corpus of unstructured texts. Hence Information Extraction (IE) from unstructured texts becomes a key technology in CI that deals with different sub-topics like extraction of biomedical entity and relations, passage/paragraph level information extraction, ontological study of diseases and treatments, summarization and topic identification etc. Though literature is promising for different IE tasks for individual topics, availability of an integrated approach for contextually relevant IE from medical documents is not apparent enough. To this end, we propose a compositional approach using integration of contextually (domain specific) constructed IE modules to improve knowledge support for patient care activity. The input to this composite system is free format medical case reports containing stage wise information corresponding to the evolution path of a patient care activity. The output is a compilation of various types of extracted information organized under different tags like past medical history, sign/symptoms, test and test results, diseases, treatment and follow up. The outcome is aimed to help the health care professionals in exploring a large corpus of medical case-studies and selecting only relevant component level information according to need/interest. More... »

PAGES

400-412

References to SciGraph publications

Book

TITLE

Database Systems for Advanced Applications

ISBN

978-3-642-20151-6
978-3-642-20152-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-20152-3_30

DOI

http://dx.doi.org/10.1007/978-3-642-20152-3_30

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031731975


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "International Institute of Information Technology, Hyderabad", 
          "id": "https://www.grid.ac/institutes/grid.419361.8", 
          "name": [
            "International Institute of Information Technology, Hyderabad, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rani", 
        "givenName": "Pratibha", 
        "id": "sg:person.011706374143.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011706374143.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Institute of Information Technology, Hyderabad", 
          "id": "https://www.grid.ac/institutes/grid.419361.8", 
          "name": [
            "International Institute of Information Technology, Hyderabad, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reddy", 
        "givenName": "Raghunath", 
        "id": "sg:person.012532107113.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012532107113.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "SETLabs, Infosys Technologies Ltd., Hyderabad, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mathur", 
        "givenName": "Devika", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "SETLabs, Infosys Technologies Ltd., Hyderabad, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bandyopadhyay", 
        "givenName": "Subhadip", 
        "id": "sg:person.012665610631.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012665610631.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "SETLabs, Infosys Technologies Ltd., Hyderabad, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laha", 
        "givenName": "Arijit", 
        "id": "sg:person.011633466625.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011633466625.33"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.artmed.2004.07.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000854607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11733836_48", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024256368", 
          "https://doi.org/10.1007/11733836_48"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11733836_48", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024256368", 
          "https://doi.org/10.1007/11733836_48"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.websem.2005.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026322999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.websem.2005.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026322999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-36668-3_150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027989673", 
          "https://doi.org/10.1007/978-3-540-36668-3_150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-36668-3_150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027989673", 
          "https://doi.org/10.1007/978-3-540-36668-3_150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1089815.1089817", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030794815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.artmed.2004.07.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032851917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3115/981732.981734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034981865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-9-207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046913428", 
          "https://doi.org/10.1186/1471-2105-9-207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-9-207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046913428", 
          "https://doi.org/10.1186/1471-2105-9-207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbi.2005.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047241910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1141277.1141330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049920289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1504/ijmso.2007.015073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067479299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cbms.2006.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095343069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cbms.2006.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095343069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3115/1572364.1572367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099140262"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "Currently health care industry is undergoing a huge expansion in different aspects. Advances in Clinical Informatics (CI) are an important part of this expansion process. One of the goals of CI is to apply Information Technology for better patient care service provision through two major applications namely electronic health care data management and information extraction from medical documents. In this paper we focus on the second application. For better management and fruitful use of information, it is necessary to contextually segregate important/relevant information buried in a huge corpus of unstructured texts. Hence Information Extraction (IE) from unstructured texts becomes a key technology in CI that deals with different sub-topics like extraction of biomedical entity and relations, passage/paragraph level information extraction, ontological study of diseases and treatments, summarization and topic identification etc. Though literature is promising for different IE tasks for individual topics, availability of an integrated approach for contextually relevant IE from medical documents is not apparent enough. To this end, we propose a compositional approach using integration of contextually (domain specific) constructed IE modules to improve knowledge support for patient care activity. The input to this composite system is free format medical case reports containing stage wise information corresponding to the evolution path of a patient care activity. The output is a compilation of various types of extracted information organized under different tags like past medical history, sign/symptoms, test and test results, diseases, treatment and follow up. The outcome is aimed to help the health care professionals in exploring a large corpus of medical case-studies and selecting only relevant component level information according to need/interest.", 
    "editor": [
      {
        "familyName": "Yu", 
        "givenName": "Jeffrey Xu", 
        "type": "Person"
      }, 
      {
        "familyName": "Kim", 
        "givenName": "Myoung Ho", 
        "type": "Person"
      }, 
      {
        "familyName": "Unland", 
        "givenName": "Rainer", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-20152-3_30", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-20151-6", 
        "978-3-642-20152-3"
      ], 
      "name": "Database Systems for Advanced Applications", 
      "type": "Book"
    }, 
    "name": "Compositional Information Extraction Methodology from Medical Reports", 
    "pagination": "400-412", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1031731975"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-20152-3_30"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9729f92027b4f58fc4c25b0562227fc9f2fcd4e3d6e0b55e899af92bf8a7fa86"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-20152-3_30", 
      "https://app.dimensions.ai/details/publication/pub.1031731975"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T08:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000366_0000000366/records_112048_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-20152-3_30"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-20152-3_30'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-20152-3_30'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-20152-3_30'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-20152-3_30'


 

This table displays all metadata directly associated to this object as RDF triples.

150 TRIPLES      23 PREDICATES      40 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-20152-3_30 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Nb557b9d7e2e84e869da4adde37ab20d3
4 schema:citation sg:pub.10.1007/11733836_48
5 sg:pub.10.1007/978-3-540-36668-3_150
6 sg:pub.10.1186/1471-2105-9-207
7 https://doi.org/10.1016/j.artmed.2004.07.017
8 https://doi.org/10.1016/j.artmed.2004.07.019
9 https://doi.org/10.1016/j.jbi.2005.11.004
10 https://doi.org/10.1016/j.websem.2005.10.002
11 https://doi.org/10.1109/cbms.2006.13
12 https://doi.org/10.1145/1089815.1089817
13 https://doi.org/10.1145/1141277.1141330
14 https://doi.org/10.1504/ijmso.2007.015073
15 https://doi.org/10.3115/1572364.1572367
16 https://doi.org/10.3115/981732.981734
17 schema:datePublished 2011
18 schema:datePublishedReg 2011-01-01
19 schema:description Currently health care industry is undergoing a huge expansion in different aspects. Advances in Clinical Informatics (CI) are an important part of this expansion process. One of the goals of CI is to apply Information Technology for better patient care service provision through two major applications namely electronic health care data management and information extraction from medical documents. In this paper we focus on the second application. For better management and fruitful use of information, it is necessary to contextually segregate important/relevant information buried in a huge corpus of unstructured texts. Hence Information Extraction (IE) from unstructured texts becomes a key technology in CI that deals with different sub-topics like extraction of biomedical entity and relations, passage/paragraph level information extraction, ontological study of diseases and treatments, summarization and topic identification etc. Though literature is promising for different IE tasks for individual topics, availability of an integrated approach for contextually relevant IE from medical documents is not apparent enough. To this end, we propose a compositional approach using integration of contextually (domain specific) constructed IE modules to improve knowledge support for patient care activity. The input to this composite system is free format medical case reports containing stage wise information corresponding to the evolution path of a patient care activity. The output is a compilation of various types of extracted information organized under different tags like past medical history, sign/symptoms, test and test results, diseases, treatment and follow up. The outcome is aimed to help the health care professionals in exploring a large corpus of medical case-studies and selecting only relevant component level information according to need/interest.
20 schema:editor N59145c1b037044959fd071cc5bb291ec
21 schema:genre chapter
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N09a5692f70fb426298a59f2cfabcce0e
25 schema:name Compositional Information Extraction Methodology from Medical Reports
26 schema:pagination 400-412
27 schema:productId N26dbc2feea2944b6a88d792c6e777979
28 N69dc937ccb9e4129ab79ee441d984872
29 Nda6ec6eb5a72481e9ccfad4f02d33434
30 schema:publisher N99f654a73e5145519b7217ffaa9c74db
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031731975
32 https://doi.org/10.1007/978-3-642-20152-3_30
33 schema:sdDatePublished 2019-04-16T08:42
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N6397f64822e943d993f4347d39cb6846
36 schema:url https://link.springer.com/10.1007%2F978-3-642-20152-3_30
37 sgo:license sg:explorer/license/
38 sgo:sdDataset chapters
39 rdf:type schema:Chapter
40 N09a5692f70fb426298a59f2cfabcce0e schema:isbn 978-3-642-20151-6
41 978-3-642-20152-3
42 schema:name Database Systems for Advanced Applications
43 rdf:type schema:Book
44 N172b1f9ed7754713814280eae70892b0 schema:name SETLabs, Infosys Technologies Ltd., Hyderabad, India
45 rdf:type schema:Organization
46 N26dbc2feea2944b6a88d792c6e777979 schema:name readcube_id
47 schema:value 9729f92027b4f58fc4c25b0562227fc9f2fcd4e3d6e0b55e899af92bf8a7fa86
48 rdf:type schema:PropertyValue
49 N292e505dfc2844a6a296bcf9bb4dbf95 rdf:first Nef029d0dc7144c11914c3326907d5c22
50 rdf:rest rdf:nil
51 N2d3008c62fdb4f6fb3c0d8a9de1f1600 rdf:first Ne72f8c00583347ec92389be9c8e03d62
52 rdf:rest N292e505dfc2844a6a296bcf9bb4dbf95
53 N3c301e0c956f49bc8a3a3c7747733e3e rdf:first sg:person.012665610631.19
54 rdf:rest Ncfabe1538fd04566942b1582c2b314ad
55 N4b37b4b7ead44461a178f3933b9b882e schema:name SETLabs, Infosys Technologies Ltd., Hyderabad, India
56 rdf:type schema:Organization
57 N51b902719667461097221c11081b8358 rdf:first Nd7b2448f66cd42b6a75d0e119a6f2a2d
58 rdf:rest N3c301e0c956f49bc8a3a3c7747733e3e
59 N59145c1b037044959fd071cc5bb291ec rdf:first Ne41b2042693448e3bb99555ca70323a2
60 rdf:rest N2d3008c62fdb4f6fb3c0d8a9de1f1600
61 N6397f64822e943d993f4347d39cb6846 schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 N69dc937ccb9e4129ab79ee441d984872 schema:name dimensions_id
64 schema:value pub.1031731975
65 rdf:type schema:PropertyValue
66 N99f654a73e5145519b7217ffaa9c74db schema:location Berlin, Heidelberg
67 schema:name Springer Berlin Heidelberg
68 rdf:type schema:Organisation
69 Nb557b9d7e2e84e869da4adde37ab20d3 rdf:first sg:person.011706374143.43
70 rdf:rest Ncb1035b50a884e2fa867a1054571607d
71 Ncb1035b50a884e2fa867a1054571607d rdf:first sg:person.012532107113.52
72 rdf:rest N51b902719667461097221c11081b8358
73 Ncfabe1538fd04566942b1582c2b314ad rdf:first sg:person.011633466625.33
74 rdf:rest rdf:nil
75 Nd7b2448f66cd42b6a75d0e119a6f2a2d schema:affiliation N172b1f9ed7754713814280eae70892b0
76 schema:familyName Mathur
77 schema:givenName Devika
78 rdf:type schema:Person
79 Nda6ec6eb5a72481e9ccfad4f02d33434 schema:name doi
80 schema:value 10.1007/978-3-642-20152-3_30
81 rdf:type schema:PropertyValue
82 Ne41b2042693448e3bb99555ca70323a2 schema:familyName Yu
83 schema:givenName Jeffrey Xu
84 rdf:type schema:Person
85 Ne72f8c00583347ec92389be9c8e03d62 schema:familyName Kim
86 schema:givenName Myoung Ho
87 rdf:type schema:Person
88 Nef029d0dc7144c11914c3326907d5c22 schema:familyName Unland
89 schema:givenName Rainer
90 rdf:type schema:Person
91 Nf72b83db6935417cac118bf896ceb440 schema:name SETLabs, Infosys Technologies Ltd., Hyderabad, India
92 rdf:type schema:Organization
93 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
94 schema:name Medical and Health Sciences
95 rdf:type schema:DefinedTerm
96 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
97 schema:name Public Health and Health Services
98 rdf:type schema:DefinedTerm
99 sg:person.011633466625.33 schema:affiliation N4b37b4b7ead44461a178f3933b9b882e
100 schema:familyName Laha
101 schema:givenName Arijit
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011633466625.33
103 rdf:type schema:Person
104 sg:person.011706374143.43 schema:affiliation https://www.grid.ac/institutes/grid.419361.8
105 schema:familyName Rani
106 schema:givenName Pratibha
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011706374143.43
108 rdf:type schema:Person
109 sg:person.012532107113.52 schema:affiliation https://www.grid.ac/institutes/grid.419361.8
110 schema:familyName Reddy
111 schema:givenName Raghunath
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012532107113.52
113 rdf:type schema:Person
114 sg:person.012665610631.19 schema:affiliation Nf72b83db6935417cac118bf896ceb440
115 schema:familyName Bandyopadhyay
116 schema:givenName Subhadip
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012665610631.19
118 rdf:type schema:Person
119 sg:pub.10.1007/11733836_48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024256368
120 https://doi.org/10.1007/11733836_48
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/978-3-540-36668-3_150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027989673
123 https://doi.org/10.1007/978-3-540-36668-3_150
124 rdf:type schema:CreativeWork
125 sg:pub.10.1186/1471-2105-9-207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046913428
126 https://doi.org/10.1186/1471-2105-9-207
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.artmed.2004.07.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032851917
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.artmed.2004.07.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000854607
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.jbi.2005.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047241910
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.websem.2005.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026322999
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1109/cbms.2006.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095343069
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1145/1089815.1089817 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030794815
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1145/1141277.1141330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049920289
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1504/ijmso.2007.015073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067479299
143 rdf:type schema:CreativeWork
144 https://doi.org/10.3115/1572364.1572367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099140262
145 rdf:type schema:CreativeWork
146 https://doi.org/10.3115/981732.981734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034981865
147 rdf:type schema:CreativeWork
148 https://www.grid.ac/institutes/grid.419361.8 schema:alternateName International Institute of Information Technology, Hyderabad
149 schema:name International Institute of Information Technology, Hyderabad, India
150 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...