Basic Lessons in *ORA and Automap 2009

Carley, Kathleen M.; Bigrigg, Mike; Reminga, Jeff; Storrick, Jon; DeReno, Matt; Columbus, Dave

doi:10.21236/ada501738

Cited by 5 publications

(9 citation statements)

References 40 publications

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“…To get a better idea of the difference of the results between the outputs of the D2M run [3] using the standard and the merged thesaurus, we generated the key entity reports [2] for the two D2M [3] outputs. …”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Creating, Using and Updating Thesauri Files for AutoMap and ORA

Sangal¹,

Carley

Altman

et al. 2012

Self Cite

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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. In the following report, we first discuss the differences between a Universal thesaurus and the domain or the project specific thesauri. We then go on to discuss the evolution in the formats of the thesauri used by AutoMap, followed by a discussion of the standard Dynamic Network Analysis (DNA) meta-ontology [1]. We then detail the process used to create a single universal/master thesaurus and several different Domain thesauri. The process involves a mix of two major processes which we refer to as the Split routine and the Merge routine. We shall discuss the Split routine and the merge routine algorithm along with the process that has been used to merge and create a single thesaurus file by combining a large number of thesauri files. The merge process is not a simple process of combining all the files into one file; it involves some computational functions to make this process more efficient and more accurate. These functions are deleting duplicates, detecting the concept cycles and performing a depth first search for each concept. The paper concludes by discussing some future improvements which could be made to the process so as to improve and automate the process which is being used at present for the merge and split process. AutoMap [1] is text analysis software that performs Network Text Analysis by running an automated process on a corpus of raw text data to generate one or more meta-networks which include the nodes and links representing relations among entities described. Automap uses thesaurus files [1] when creating meta-networks. These thesaurus files are list which allows the association of words or phrases found in texts with abstract concepts and/or node classes used in the extracted meta-networks.Over time, a large number of thesauri have been created. Many of the extant thesauri contain entries that are relevant to new text analysis projects. But thesaurus re-use is difficult due to the number of thesauri. In this report, we describe one approach to making thesaurus re-use easier by combining and reconciling multiple thesauri into one under user control.With this approach, the process of creating a Meta network out of a raw corpus of text data is more efficient and the user is able to per...

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Section: Resultsmentioning

confidence: 99%

“…This means that if a concept like hall is general it might get linked to something like meera_shankar because of the function depth first search. This in turn might create some shocking and unexpected results in the key entity reports [2] and hence, the overall analysis.…”

Section: Future Directionsmentioning

confidence: 99%

Creating, Using and Updating Thesauri Files for AutoMap and ORA

Sangal¹,

Carley

Altman

et al. 2012

Self Cite

View full text Add to dashboard Cite

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“…However, in order to understand this indicator, it is necessary to understand the relation to the size of the network and the type of work performed [26]. In this case study, the travel agencies were chosen from a list of agencies that introduce customers to the case study tour operator.…”

Section: Network Of Travel Agencies and Tour Operatorsmentioning

confidence: 99%

Network Analysis in Tourism Distribution Channels

Jeeva¹,

Tran²

2014

Proceedings of the 2014 International Conference on Global Economy, Commerce and Service Science

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Abstract-Application of Network Analysis in tourism research is relatively new, especially in the study of tourism distribution channels. Network Analysis is employed to investigate the structure and pattern of relationships between actors in a network. This paper applies Network Analysis with ORA software to analyze tourism distribution channels. The results of the research show the pattern of the network between tour operators and travel agencies and between tour operators. Network Analysis also reveals the cooperation and cohesion of the network as well as the network dynamics between the case study tour operator and its travel agencies over a period of time.

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“…The reduced format was a more advanced type of format and was basically developed for the purpose of performing editorial and deletion changes easily using ORA [2]. For this purpose, 2 new columns were added to the master format, which were the new metaOntology and the new metaType in addition to the previous ones.…”

Section: Reduced Formatmentioning

confidence: 99%

“…Apart from the various meta ontologies, the NEW_METAONTOLOGY column in the reduced format and the change format can contain some actions which help in rearranging the links and managing the nodes directly in ORA [2]. These actions help the users to manually edit the thesaurus according to their own needs.…”

Section: Actionsmentioning

confidence: 99%

Creating, Using and Updating Thesauri Files for Automap and ORA

Sangal¹,

Carley

Altman

et al. 2012

SSRN Journal

Self Cite

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AutoMap [1] is text analysis software that performs Network Text Analysis by running an automated process on a corpus of raw text data to generate one or more meta-networks which include the nodes and links representing relations among entities described. Automap uses thesaurus files [1] when creating meta-networks. These thesaurus files are list which allows the association of words or phrases found in texts with abstract concepts and/or node classes used in the extracted meta-networks.Over time, a large number of thesauri have been created. Many of the extant thesauri contain entries that are relevant to new text analysis projects. But thesaurus re-use is difficult due to the number of thesauri. In this report, we describe one approach to making thesaurus re-use easier by combining and reconciling multiple thesauri into one under user control.With this approach, the process of creating a Meta network out of a raw corpus of text data is more efficient and the user is able to perform a more accurate analysis of the Meta network, as the individual thesauri files can be merged to create a single and large Universal or Master Thesaurus containing all the general abstract concepts, along with several different Domainspecific thesauri.In the following report, we first discuss the differences between a Universal thesaurus and the domain or the project specific thesauri. We then go on to discuss the evolution in the formats of the thesauri used by AutoMap, followed by a discussion of the standard Dynamic Network Analysis (DNA) meta-ontology [1].We then detail the process used to create a single universal/master thesaurus and several different Domain thesauri. The process involves a mix of two major processes which we refer to as the Split routine and the Merge routine. We shall discuss the Split routine and the merge routine algorithm along with the process that has been used to merge and create a single thesaurus file by combining a large number of thesauri files. The merge process is not a simple process of combining all the files into one file; it involves some computational functions to make this process more efficient and more accurate. These functions are deleting duplicates, detecting the concept cycles and performing a depth first search for each concept.

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Basic Lessons in *ORA and Automap 2009

Cited by 5 publications

References 40 publications

Creating, Using and Updating Thesauri Files for AutoMap and ORA

Creating, Using and Updating Thesauri Files for AutoMap and ORA

Network Analysis in Tourism Distribution Channels

Creating, Using and Updating Thesauri Files for Automap and ORA

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