Semantic Distances for Technology Landscape Visualization
This paper presents a novel approach to the visualization and subsequent elucidation of research domains in science and technology. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information regarding trends and patterns of publication rather tha...
| Main Authors: | , |
|---|---|
| Format: | Working Paper |
| Language: | en_US |
| Published: |
Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology
2011
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/65615 |
| _version_ | 1826200947078987776 |
|---|---|
| author | Madnick, Stuart Woon, Wei Lee |
| author_facet | Madnick, Stuart Woon, Wei Lee |
| author_sort | Madnick, Stuart |
| collection | MIT |
| description | This paper presents a novel approach to the visualization
and subsequent elucidation of research domains in science and technology.
The proposed methodology is based on the use of bibliometrics; i.e.,
analysis is conducted using information regarding trends and patterns of
publication rather than the contents of these publications. In particular,
we explore the use of term co-occurence frequencies as an indicator of the
semantic closeness between pairs of words or phrases. To demonstrate the
utility of this approach, a case study on renewable energy technologies
is conducted, where the above techniques are used to visualize the interrelationships
within a collection of energy-related keywords. As these are
regarded as manifestations of the underlying research topics, we contend
that the proposed visualizations can be interpreted as representations
of the underlying technology landscape. These techniques have many
potential applications, but one interesting challenge in which we are
particularly interested is the mapping and subsequent prediction of future
developments in the technological fields being studied. |
| first_indexed | 2024-09-23T11:44:13Z |
| format | Working Paper |
| id | mit-1721.1/65615 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:44:13Z |
| publishDate | 2011 |
| publisher | Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/656152019-04-12T11:31:58Z Semantic Distances for Technology Landscape Visualization Madnick, Stuart Woon, Wei Lee landscape visualization This paper presents a novel approach to the visualization and subsequent elucidation of research domains in science and technology. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information regarding trends and patterns of publication rather than the contents of these publications. In particular, we explore the use of term co-occurence frequencies as an indicator of the semantic closeness between pairs of words or phrases. To demonstrate the utility of this approach, a case study on renewable energy technologies is conducted, where the above techniques are used to visualize the interrelationships within a collection of energy-related keywords. As these are regarded as manifestations of the underlying research topics, we contend that the proposed visualizations can be interpreted as representations of the underlying technology landscape. These techniques have many potential applications, but one interesting challenge in which we are particularly interested is the mapping and subsequent prediction of future developments in the technological fields being studied. The research described in this paper was funded by the Masdar Institute of Science and Technology (MIST). 2011-09-07T15:13:18Z 2011-09-07T15:13:18Z 2008-08-25 Working Paper http://hdl.handle.net/1721.1/65615 en_US MIT Sloan School Working Paper;4711-08 CISL Working Paper;2008-04 application/pdf Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology |
| spellingShingle | landscape visualization Madnick, Stuart Woon, Wei Lee Semantic Distances for Technology Landscape Visualization |
| title | Semantic Distances for Technology Landscape Visualization |
| title_full | Semantic Distances for Technology Landscape Visualization |
| title_fullStr | Semantic Distances for Technology Landscape Visualization |
| title_full_unstemmed | Semantic Distances for Technology Landscape Visualization |
| title_short | Semantic Distances for Technology Landscape Visualization |
| title_sort | semantic distances for technology landscape visualization |
| topic | landscape visualization |
| url | http://hdl.handle.net/1721.1/65615 |
| work_keys_str_mv | AT madnickstuart semanticdistancesfortechnologylandscapevisualization AT woonweilee semanticdistancesfortechnologylandscapevisualization |