Jerzy Weres, Programming technologies supporting management of Linked Open Data in the domain of cereal grain drying and storage
Jerzy Weres教授是來自波蘭波茲納(Poznan)大學農業及生物技術學院資訊應用系。他認為農業資訊對於農夫或農業工程而言都是重要的基礎，這些資訊有助於做出更好的決策，而要讓決策支援的軟體能與時並進，就必須去使用未來的網路科技，這樣的科技己經可以被用來增加決策支援系統的功能性、可靠性、使用性、可維持性和效能，藉由語意網技術來整合多種不同資訊來源現在已經是未來系統發展的趨勢，語意網技術為基礎的系統的新見解是如何透過整合軟體而讓傳統平台開放和利用智慧型手機的開放近用。
Daniel M. Herzig, Searching Linked Data Graphs with GraphScope
Herzig博士之前是德國卡爾斯魯爾科技研究院(Karlsruhe Institute of Technology, KIT)之應用資訊和正規描述方法研究所(Institute of Applied Informatics and Formal Description Methods, AIFB) 之成員，該研究所亦是歐洲語意網研究的重點研究機構，出產許多知名的語意網研究學者。Herzig博士於2014年共同創辦了SearchHaus，這家公司致力於利用圖管理(graph management)方式於巨量資料的關鍵字查詢，metaphacts則是另一家於2014年成立的公司，致力於知識圖管理的公司，2017年二家公司併整，Herzig博士成為這家公司的營運長，該公司目前約10人左右。
Daniel Martini, Linked Data architecture components – How to attach linked data services to legacy infrastructure?
Daniel Martini是籌辦單位之一德國農業科技與建立協會(KTBL)中資料庫和知識技術組的專家，他們團隊在2004年左右就開始進行AgroXML的建立與發展。在他的演講中一開始先說明了KTBL這個單位的背景，KTBL是一個有註冊的非營利協會，2/3是由德國農業部所資助，有來自於學術、業界的各領域專家約400位成員左右所組成，有70位左右的職員在Darmstadt工作，管理許多工作小組、組織專家工作坊、出席相關委員會、以及維持專家網絡。KTBL的任務是將研究成知識導入農業的實務中，並以專業來支援政策決策，評估新農業技術在經濟和生態在衝擊，以及提供計畫性資料(如，投資、產品處理過程…)到農夫。資訊技術的角色有三: 一為資料獲取，是由開放資料來源中獲得，二為資料處理，是由原始資料轉換為計畫資料，三為資訊提供，透過電子書、網頁和APPS，傳遞農業資訊給客戶。
The current version of WordNet::Similarity is 2.0.7, released on October 4, 2015. The install file in source code explains the installation well, however, some little problems occur with new Mac OSX, e.g. Sierra.
The WordNet-Similarity 2.0.7 works with the other packages:
WordNet-3.0
WordNet-QueryData-1.49
Text-Similarity-0.13
WordNet-3.0 needs to be installed firstly, and then the other two packages. Although WordNet 3.1 can be installed via Brew, my case is not successful to make WordNet 3.1 working with WordNet-Similarity 2.0.7.
As the installation of WordNet, a issue was occurred from the step of ‘make’ in stubs.c. The following is the error message.
stubs.c:43:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result =
~~~~~~ ^
stubs.c:55:14: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = bitfieldstr;
~~~~~~ ^
stubs.c:72:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = “usage: bit bitnum”;
~~~~~~ ^
stubs.c:78:14: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = bitfieldstr;
~~~~~~ ^
stubs.c:92:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result =
~~~~~~ ^
stubs.c:105:14: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = resultbuf;
~~~~~~ ^
stubs.c:117:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = “usage: glosses [1 | 0]”;
~~~~~~ ^
stubs.c:132:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = “usage: fileinfo [1 | 0]”;
~~~~~~ ^
stubs.c:147:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = “usage: byteoffset [1 | 0]”;
~~~~~~ ^
stubs.c:162:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = “usage: senseflag [1 | 0]”;
~~~~~~ ^
stubs.c:178:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = “usage: contextualhelp partofspeechnum searchtypenum”;
~~~~~~ ^
stubs.c:183:14: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = helptext[pos][searchtype];
~~~~~~ ^
stubs.c:193:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = “usage: reopendb”;
~~~~~~ ^
stubs.c:207:17: error: no member named ‘result’ in ‘struct Tcl_Interp’
interp -> result = “usage: abortsearch”;
~~~~~~ ^
Google the issue. I found a solution from StackOverflow. One suggestion is modify the line using ‘interp->result’ to ‘Tcl_SetResult’, e.g.
After the modification, do configure and make again. WordNet 3.0 can be successfully installed. (You type wn in terminal for testing if the WordNet installation is successful).
With having WordNet 3.0, the WordNet-QueryData-1.49, Text-Similarity-0.13, and WordNet-Similarity 2.0.7 are installed well via following procedure:
perl Makefile.PL
make
make test
su
make install
exit
To test if WordNet-Similarity 2.0.7 is installed successful, you can go to the folder ‘samples’, and find sample.pl. Then, try ‘perl sample.pl cat#n#1 dog#n#1′. You will see the result like the following screenshot.
All functions of WordNet-Similarity 2.0.7 are in the folder ‘utils’. If you’d like to launch a web service of WordNet Similarity, you can use similarity_server.pl. Just execute it. Then, you can see as following screenshot.
這個問題後來成為與會專家要給予的答案。資料集與資料集要連結，這之間就必需要有某一些關連，也就是所謂的context，以致於資料集中的某一個entity可以與另一個entity以某種形式相連，在普遍的做法就是用owl:sameAs來表達在不同資料集中的二個entity是一樣的，以我有限的所知，資料集之間的context可以由三個特性來思考: 地理空間(Geospatial)、時間的(Temporal)、和主題屬性的(Attributiive)，以環保署開資料平台中的紫外線測站資料為例，有可能連結的部份看來只有地理空間的特性了! 就資料特性而言，若環保署要做Linked Open Data (LOD)，建議應該朝向Linked Sesnor Data，就是把所有測站以OGC的Sensor Web Enablement (SWE)和 W3C SSN Ontology 二者來表達環保署中的測站，而測站所產生的資料則是以Linked Observation Data 來詮釋。
從Sesnor nodes組成sensor network，然後以OGC SWE來架構Sensor Web，所以容易再以W3C SSN Ontology表達
Linked Sesnor Data, Linked Observation Data, and Geonames