TWM484733U - Semantic business intelligence system - Google Patents
Semantic business intelligence system Download PDFInfo
- Publication number
- TWM484733U TWM484733U TW102220047U TW102220047U TWM484733U TW M484733 U TWM484733 U TW M484733U TW 102220047 U TW102220047 U TW 102220047U TW 102220047 U TW102220047 U TW 102220047U TW M484733 U TWM484733 U TW M484733U
- Authority
- TW
- Taiwan
- Prior art keywords
- module
- keyword
- input device
- different
- soa
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Description
本創作提供一種資料庫系統之技術領域,尤指其技術上提供一種語意商業智慧系統,其輸入裝置以最簡單語意方式輸入,輸入之關鍵字得被辨識解析關鍵字模組解析,再藉由關鍵字指令轉換模組轉換成指令,經該服務導向架構(SOA)得以將不同維度、不同地區或不同系統的資料整合,並得以數值或圖形的方式顯示於輸出裝置,據以達到最簡單的語意方式得到最完整即時的數據資料者。The present invention provides a technical field of a database system, in particular, a technically savvy business intelligence system, wherein the input device is input in the simplest semantic manner, and the input keyword is parsed by the recognized analytical keyword module, and then The keyword instruction conversion module converts into instructions, and the service oriented architecture (SOA) can integrate data of different dimensions, different regions or different systems, and display them on the output device numerically or graphically, so as to achieve the simplest The semantic way to get the most complete and immediate data.
按,習用資料庫系統雖然可以記錄多筆的資料,但是不同的資料庫系統間是很難相互溝通,就好像是三個國家的人員至少就要增加三個翻譯人員才能互相溝通,同理資料庫系統在不同地區、不同時間點可能會建置有不同的資料庫系統,其相互溝通上就會非常的困難,現行的做法就是雇用相當多的電腦工程師,需求者想要什麼資料,電腦工程師們一起想辦法寫程式去抓取相關的資料,再利用編排程式編排成相關的資料表格,整理好後再拿給需求者,因此從需求至看到資料的過程就要花費數十個人力 及數個工作天的取得整合及過濾整理資料,取得的資料不是即時的資料,而取得的資料也是破碎沒有相互關聯的資料。According to the traditional database system, although it is possible to record multiple pieces of data, it is difficult for different database systems to communicate with each other. It is as if three people in the three countries need to add at least three translators to communicate with each other. The library system may have different database systems in different regions and at different time points, and it will be very difficult to communicate with each other. The current practice is to hire quite a few computer engineers, what information the demanders want, computer engineers Together, we will find ways to write programs to capture relevant information, and then use the orchestration program to organize the relevant data forms, and then organize them for the demanders. Therefore, it takes dozens of people to go from demand to seeing the data. And several working days to integrate and filter the information, the information obtained is not real-time data, and the information obtained is also broken and not related to each other.
再者,習用資料庫系統因應上述困境,所以在整合相關資料時需要用到相當多的指令,其對於非該專業的人將相當困難,如一個大型醫院的院長,可能醫術相當高明,經營領導能力也相當強,但資料庫指令技術就相當弱。而其又是最需要整合的、即時的、完整的資料的人,如果院長能夠以說話的方式簡單語意表達,資料庫就能夠瞭解院長的所需,而得以將最完整、最即時的資料整理簡化或製成圖表而顯示在院長眼前的顯示器上,如此將非常完美,但就市面上尚無一套相關系統可提供消費者使用。Moreover, the conventional database system responds to the above dilemma, so it requires a lot of instructions when integrating relevant materials. It will be quite difficult for people who are not in the profession. For example, the chief of a large hospital may be quite skilled, and the business leader The ability is also quite strong, but the database command technology is quite weak. And it is the person who needs the most integrated, real-time, complete information. If the dean can express his meaning in a simple way, the database can understand the needs of the dean and can organize the most complete and immediate data. Simplified or charted and displayed on the display in front of the Dean's eyes, this will be perfect, but there is no related system available on the market for consumer use.
是以,針對上述習知結構所存在之問題點,如何開發一種更具理想實用性之創新結構,實消費者所殷切企盼,亦係相關業者須努力研發突破之目標及方向。Therefore, in view of the problems existing in the above-mentioned conventional structure, how to develop an innovative structure that is more ideal and practical, the consumers are eagerly awaiting, and the relevant industry must strive to develop the goal and direction of breakthrough.
有鑑於此,創作人本於多年從事相關產品之製造開發與設計經驗,針對上述之目標,詳加設計與審慎評估後,終得一確具實用性之本創作。In view of this, the creator has been engaged in the manufacturing development and design experience of related products for many years. After the detailed design and careful evaluation of the above objectives, the creator will have a practical and practical creation.
本創作之主要目的在於提供一種語意商業智慧系統,其輸入裝置以最簡單語意方式輸入,輸入之關鍵字得被辨識解析關鍵字模組解析,再藉由關鍵字指令轉換模 組轉換成指令,經該服務導向架構(SOA)得以將不同維度、不同地區或不同系統的資料整合,並得以數值或圖形的方式顯示於輸出裝置,據以達到最簡單的語意方式得到最完整即時的數據資料者。The main purpose of this creation is to provide a semantic business intelligence system. The input device is input in the simplest semantic way. The input keywords are parsed by the recognized analytical keyword module, and then converted by the keyword instruction. The group is converted into instructions, and the service oriented architecture (SOA) can integrate data of different dimensions, different regions or different systems, and display them on the output device numerically or graphically, so as to achieve the most complete semantic method. Instant data data.
為達上述目的,本創作提供一種語意商業智慧系統,係包含有:一服務導向架構(SOA),由一走動式指令重組及剖析模組(ReSQL)連結一語法轉換模組、一多重資料來源整合模組及一不同維度整合模組組成,資料取自多個不同地區、系統與維度的資料庫,一輸入裝置,該輸入裝置以最簡單的語意輸入方式之關鍵字得被辨識解析關鍵字模組解析出關鍵字,再藉由關鍵字指令轉換模組轉換成指令,經由該服務導向架構(SOA)得以將不同維度、不同地區或不同系統的資料整合,並得以數值或圖形的方式顯示於輸出裝置,據以達到最簡單的語意輸入方式得到最完整即時的數據資料者。To achieve the above objectives, the author provides a semantic business intelligence system, which includes: a service oriented architecture (SOA), a walk-through instruction reorganization and analysis module (ReSQL) connection to a grammar conversion module, a multiple data The source integration module and a different dimension integration module are composed of data from a plurality of different regions, systems and dimensions, an input device, and the input device is identified by the keyword of the simplest semantic input mode. The word module parses the keywords and converts them into instructions by the keyword instruction conversion module. Through the service oriented architecture (SOA), the data of different dimensions, different regions or different systems can be integrated and numerically or graphically Displayed on the output device, in order to achieve the most complete semantic input method to get the most complete and instant data.
有關本創作所採用之技術、手段及其功效,茲舉一較佳實施例並配合圖式詳細說明於後,相信本創作上述之目的、構造及特徵,當可由之得一深入而具體的瞭解。With regard to the techniques, means and functions of the present invention, a preferred embodiment is described in detail with reference to the drawings, and it is believed that the above objects, structures and features of the present invention can be obtained from an in-depth and specific understanding. .
10‧‧‧輸入裝置10‧‧‧Input device
11‧‧‧操作板視窗11‧‧‧Operator window
20‧‧‧辨識解析關鍵字模組20‧‧‧ID Analysis Keyword Module
30‧‧‧關鍵字指令轉換模組30‧‧‧Keyword Command Conversion Module
40‧‧‧服務導向架構(SOA)40‧‧‧Service Oriented Architecture (SOA)
41‧‧‧走動式指令重組及剖析模組(ReSQL)41‧‧‧ Walk-through instruction reorganization and profiling module (ReSQL)
42‧‧‧語法轉換模組42‧‧‧Syntax conversion module
43‧‧‧多重資料來源整合模組43‧‧‧Multiple Data Source Integration Module
44‧‧‧不同維度整合模組44‧‧‧Different dimension integration modules
50‧‧‧資料庫50‧‧‧Database
60‧‧‧輸出裝置60‧‧‧ Output device
61‧‧‧查詢結果視窗61‧‧‧Query results window
第一圖係本創作其一實施例之系統圖。The first figure is a system diagram of an embodiment of the present creation.
第二圖係本創作其一例之輸入裝置輸入語意狀態示意圖。The second figure is a schematic diagram of the input semantic state of the input device of one example of the present creation.
第三圖係本創作其一例之輸出裝置輸出報表之示意圖。The third figure is a schematic diagram of an output device output report of one example of the present creation.
第四圖係本創作另一例之輸入裝置輸入語意狀態示意圖。The fourth figure is a schematic diagram of the input semantic state of the input device of another example of the present creation.
第五圖係本創作另一例之輸出裝置輸出報表及圖表之示意圖。The fifth figure is a schematic diagram of the output device output report and chart of another example of the present creation.
本創作係提供一種語意商業智慧系統之設計者。This creative department provides a designer of a semantic business intelligence system.
為使貴審查委員對本創作之目的、特徵及功效能夠有更進一步之瞭解與認識,茲配合實施方式及圖式詳述如後:參閱第一至第五圖所示,本創作提供一種語意商業智慧系統,係包含有:一輸入裝置10,該輸入裝置10得以最簡單連續長串的語意輸入方式輸入語意;一辨識解析關鍵字模組20,該辨識解析關鍵字模組20與該輸入裝置10連結,該辨識解析關鍵字模組20得以辨識解析語意內部所包含的關鍵字;一關鍵字指令轉換模組30,該關鍵字指令轉換模組30連結該辨識解析關鍵字模組20,該關鍵字指令轉換模組30得將關鍵字轉換為指令;一服務導向架構(SOA)40,該服務導向架構 (SOA)40與該關鍵字指令轉換模組30連結;一資料庫50,該服務導向架構(SOA)40連結該資料庫50,該資料庫50可為不同地區、不同系統、不同時期建置或不同維度之資料庫;以及一輸出裝置60,該輸出裝置60與該服務導向架構(SOA)40連結,該服務導向架構(SOA)40依據該關鍵字指令轉換模組30指令要求將該資料庫50內不同維度、不同地區或不同系統的資料得以整合,並得以數值或圖形的方式輸出或顯示於該輸出裝置60。In order to enable your review committee to have a better understanding and understanding of the purpose, characteristics and efficacy of this creation, the implementation method and the schema are as follows: See the first to fifth figures, this creation provides a semantic business. The smart system includes: an input device 10, which inputs the semantics by the simplest continuous long string of semantic input methods; an identification analysis keyword module 20, the identification analysis keyword module 20 and the input device 10, the identification analysis keyword module 20 is configured to recognize the keywords included in the semantics; a keyword instruction conversion module 30, the keyword instruction conversion module 30 is coupled to the identification analysis keyword module 20, The keyword instruction conversion module 30 may convert the keyword into an instruction; a service oriented architecture (SOA) 40, the service oriented architecture The (SOA) 40 is coupled to the keyword instruction conversion module 30; a database 50, the service oriented architecture (SOA) 40 is coupled to the database 50, and the database 50 can be implemented in different regions, different systems, and different periods. Or a database of different dimensions; and an output device 60 coupled to the service oriented architecture (SOA) 40, the service oriented architecture (SOA) 40 instructing the data according to the keyword instruction conversion module 30 Data from different dimensions, regions, or systems within the library 50 are integrated and output or displayed to the output device 60 in a numerical or graphical manner.
所述之語意商業智慧系統,其中該輸入裝置10可為一語音輸入裝置、一鍵盤輸入裝置、一手寫輸入裝置、一影像輸入裝置、一掃描輸入裝置或一條碼輸入裝置。The semantics of the business intelligence system, wherein the input device 10 can be a voice input device, a keyboard input device, a handwriting input device, an image input device, a scan input device or a code input device.
所述之語意商業智慧系統,其中該輸入裝置10輸入的語意得由一電腦螢幕上的一操作板視窗11中顯現,提供輸入者觀看。The semantic business intelligence system, wherein the input of the input device 10 is visualized by an operating panel window 11 on a computer screen, providing input for viewing.
所述之語意商業智慧系統,其中該輸出裝置60可為一PDA、一智慧手機、一平板電腦、一筆記型電腦或一桌上型電腦。The semantic business intelligence system, wherein the output device 60 can be a PDA, a smart phone, a tablet computer, a notebook computer or a desktop computer.
所述之語意商業智慧系統,其中該輸出裝置60可為一電腦螢幕上的一查詢結果視窗61,該查詢結果視窗61得顯示查詢結果。The semantics of the business intelligence system, wherein the output device 60 can be a query result window 61 on a computer screen, and the query result window 61 can display the query result.
所述之語意商業智慧系統,其中該服務導向架 構(SOA)40包含有一走動式指令重組及剖析模組(ReSQL)41、一語法轉換模組42、一多重資料來源整合模組43及一不同維度整合模組44,該走動式指令重組及剖析模組(ReSQL)41分別連結該語法轉換模組42、該多重資料來源整合模組43及該不同維度整合模組44,該服務導向架構(SOA)40可擷取不同地區、不同系統、不同維度範圍所有該資料庫50中之所需資料,過濾整合並即時輸出。The semantic business intelligence system, wherein the service guide The structure (SOA) 40 includes a walk-through instruction reorganization and parsing module (ReSQL) 41, a grammar conversion module 42, a multiple data source integration module 43 and a different dimension integration module 44, and the walk instruction reorganization And the parsing module (ReSQL) 41 respectively connects the grammar conversion module 42, the multiple data source integration module 43 and the different dimension integration module 44, and the service orientation architecture (SOA) 40 can capture different regions and different systems. All the required data in the database 50 in different dimension ranges, filtered and integrated and output immediately.
所述之語意商業智慧系統,其中該不同維度整合模組44得針對不同維度資料予以整合在同一表單內,使該輸出裝置60更易於顯示,也使需求者更易於閱讀檢視。The semantic business intelligence system, wherein the different dimension integration module 44 is integrated into the same form for different dimensional data, makes the output device 60 easier to display, and makes the user more easy to read and view.
參閱第二、三圖所示,輸入裝置10得以語音方式輸入「給我94年第一季分月份分部科和去年比較保留人數和藥費欄位以期間維度呈現報表」,其後辨識解析關鍵字模組20(如第一圖所示)就可將該語意解析出關鍵字如「給我(94年第一季)(分月份)(分部科)和(去年比)較(保留人數)和((保留)藥費)欄位以(期間維度)呈現報表」,其後得以經關鍵字指令轉換模組30及該服務導向架構(SOA)40整合資料後,以輸出裝置60輸出(如第三圖所示),第三圖的報表內即具有94年第一季分月份的數據,且其所有部科、去年資料、人數及藥費也都列出,完全符合完整及即時的需求。Referring to the second and third figures, the input device 10 can be voice-inputted to "give me the first quarter of the month of 1994 and the comparison of the number of reserved persons and the drug fee field in the previous period," and then identify the analysis. The keyword module 20 (as shown in the first figure) can parse the semantics into keywords such as "Give me (first quarter of 1994) (division of months) (division) and (last year) comparison (reserved The number of people and the ((reserved) drug fee) field are presented in a (period dimension), after which the data is integrated by the keyword instruction conversion module 30 and the service oriented architecture (SOA) 40, and outputted by the output device 60. (As shown in the third figure), the report in the third chart has the data for the first quarter of 1994, and all the divisions, last year's data, number of people and drug charges are also listed, which is completely consistent with the real and immediate Demand.
參閱第四、五圖所示,輸入裝置10得以語音方式輸入「給我94年第二季整季比對部科像內像外分醫師等 級和前期比較保留藥費和醫療費用欄位以下探維度呈現報表自定圖表以下探分圖」,其後辨識解析關鍵字模組20(如第一圖所示)就可將該語意解析出關鍵字,其後得以經關鍵字指令轉換模組30及該服務導向架構(SOA)40整合資料後,以輸出裝置60輸出(如第五圖所示),第五圖的報表及圖表內即具有94年第二季整季比對部科像內像外分醫師等級和前期比較保留藥費和醫療費用欄位以下探維度呈現報表自定圖表以下探分圖,完全符合完整及即時的需求。Referring to the fourth and fifth figures, the input device 10 can be input by voice. "Give me the whole season of the second quarter of 1994. Compared with the previous period, the reserved drug fee and the medical expense field below the presentation dimension presents the following chart of the self-defined chart of the report, and then the analytical keyword module 20 (as shown in the first figure) can parse the semantics. The keyword is then integrated by the keyword instruction conversion module 30 and the service oriented architecture (SOA) 40, and outputted by the output device 60 (as shown in the fifth figure), and the report and the chart in the fifth figure are With the second quarter of 1994, the whole season is more than the complete and immediate needs of the self-determined chart of the sub-division of the department and the pre-existing medical expenses and medical expenses. .
由其上述可知,本創作之語意商業智慧系統,確為業界首見而符合新型專利之新穎性要件者,而其全面性之創新設計,符合新型專利之進步性要件,而其得以簡易語意輸入,即可得完整即時的不同維度、不同地區、不同資料庫整合的報表或圖表,符合較佳之產業利用性者。It can be seen from the above that the semantic business intelligence system of this creation is indeed the first in the industry and meets the novelty requirements of the new patent, and its comprehensive and innovative design conforms to the progressive requirements of the new patent, and its simple semantic input. , you can get complete and instant reports of different dimensions, different regions, different databases, or charts, in line with better industry utilization.
前文係針對本創作之較佳實施例為本創作之技術特徵進行具體之說明;惟,熟悉此項技術之人士當可在不脫離本創作之精神與原則下對本創作進行變更與修改,而該等變更與修改,皆應涵蓋於如下申請專利範圍所界定之範疇中。The foregoing description of the preferred embodiments of the present invention is specifically described as a technical feature of the present invention; however, those skilled in the art can make changes and modifications to the present invention without departing from the spirit and principles of the present invention. Such changes and modifications shall be covered in the scope defined by the following patent application.
綜上所述,本創作係提供一種語意商業智慧系統,其確已達到本創作之所有目的,另其組合結構之空間型態未見於同類產品,亦未曾公開於申請前,已符合專利法之規定,爰依法提出申請。In summary, the creative department provides a semantic business intelligence system, which has indeed achieved all the purposes of this creation, and the spatial pattern of its combined structure is not found in similar products, nor has it been disclosed before the application, and has been in compliance with the Patent Law. It is stipulated that the application should be made according to law.
10‧‧‧輸入裝置10‧‧‧Input device
11‧‧‧操作板視窗11‧‧‧Operator window
20‧‧‧辨識解析關鍵字模組20‧‧‧ID Analysis Keyword Module
30‧‧‧關鍵字指令轉換模組30‧‧‧Keyword Command Conversion Module
40‧‧‧服務導向架構(SOA)40‧‧‧Service Oriented Architecture (SOA)
41‧‧‧走動式指令重組及剖析模組(ReSQL)41‧‧‧ Walk-through instruction reorganization and profiling module (ReSQL)
42‧‧‧語法轉換模組42‧‧‧Syntax conversion module
43‧‧‧多重資料來源整合模組43‧‧‧Multiple Data Source Integration Module
44‧‧‧不同維度整合模組44‧‧‧Different dimension integration modules
50‧‧‧資料庫50‧‧‧Database
60‧‧‧輸出裝置60‧‧‧ Output device
61‧‧‧查詢結果視窗61‧‧‧Query results window
Claims (5)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW102220047U TWM484733U (en) | 2013-10-29 | 2013-10-29 | Semantic business intelligence system |
CN201410516692.5A CN104572801A (en) | 2013-10-29 | 2014-09-30 | Semantic business intelligence system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW102220047U TWM484733U (en) | 2013-10-29 | 2013-10-29 | Semantic business intelligence system |
Publications (1)
Publication Number | Publication Date |
---|---|
TWM484733U true TWM484733U (en) | 2014-08-21 |
Family
ID=51794329
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW102220047U TWM484733U (en) | 2013-10-29 | 2013-10-29 | Semantic business intelligence system |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN104572801A (en) |
TW (1) | TWM484733U (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107944166A (en) * | 2017-11-30 | 2018-04-20 | 中州大学 | The implementation method and device of a kind of Electronic Design |
CN113658596A (en) * | 2020-04-29 | 2021-11-16 | 扬智科技股份有限公司 | Semantic identification method and semantic identification device |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6999932B1 (en) * | 2000-10-10 | 2006-02-14 | Intel Corporation | Language independent voice-based search system |
US20050240354A1 (en) * | 2003-08-27 | 2005-10-27 | Ascential Software Corporation | Service oriented architecture for an extract function in a data integration platform |
US20090172024A1 (en) * | 2007-12-31 | 2009-07-02 | Industrial Technology Research Institute | Systems and methods for collecting and analyzing business intelligence data |
CN101599270A (en) * | 2008-06-02 | 2009-12-09 | 海尔集团公司 | Voice server and voice control method |
CN101763211A (en) * | 2009-04-30 | 2010-06-30 | 广东国笔科技股份有限公司 | System for analyzing semanteme in real time and controlling related operation |
CN101968785A (en) * | 2009-07-28 | 2011-02-09 | 万继华 | Logical machine model capable of understanding human natural language |
-
2013
- 2013-10-29 TW TW102220047U patent/TWM484733U/en not_active IP Right Cessation
-
2014
- 2014-09-30 CN CN201410516692.5A patent/CN104572801A/en active Pending
Also Published As
Publication number | Publication date |
---|---|
CN104572801A (en) | 2015-04-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Jänicke et al. | Visual text analysis in digital humanities | |
WO2021169400A1 (en) | Artificial intelligence-based named entity recognition method and apparatus, and electronic device | |
Anselin | From SpaceStat to CyberGIS: Twenty years of spatial data analysis software | |
US20150120777A1 (en) | System and Method for Mining Data Using Haptic Feedback | |
CN111984784B (en) | Person post matching method, device, electronic equipment and storage medium | |
Habib et al. | Correspondence analysis: A new method for analyzing qualitative data in architecture | |
Ahmed et al. | Sentiment analysis for smart cities: state of the art and opportunities | |
KR20170052020A (en) | Providing system for classification of diseases using questions and answer | |
Shah | Supporting research data collection from YouTube with TubeKit | |
Walkowiak | Big Data analytics with R | |
TW201828121A (en) | Systems and methods for intelligent information management | |
Luo et al. | nvBench: A large-scale synthesized dataset for cross-domain natural language to visualization task | |
Ma | Improved interaction of BIM models for historic buildings with a game engine platform | |
Stouffs | Description grammars: A general notation | |
TWM484733U (en) | Semantic business intelligence system | |
Atılgan et al. | Awareness, perceptions, and expectations of academic librarians in Turkey about Resource Description and Access (RDA) | |
Annechino et al. | Bridging the qualitative-quantitative software divide | |
Grifoni | Multimodal human computer interaction and pervasive services | |
Agathos et al. | Documenting architectural styles using CIDOC CRM | |
Martin et al. | Annotating and Measuring Multimodal Behaviour-Tycoon Metrics in the Anvil Tool. | |
Li et al. | Conviscope: Visual analytics for exploring patient conversations | |
Swope | Is green the new red? Marxism, ecology, and contemporary architectural theory | |
Rabbi et al. | T□: A domain specific language for rapid workflow development | |
Liu et al. | Spatial specification and reasoning using grammars: from theory to application | |
Jin | A review of cityscape research based on dynamic visual perception |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
MM4K | Annulment or lapse of a utility model due to non-payment of fees |