15:05:25 RRSAgent has joined #hcls 15:05:25 logging to http://www.w3.org/2009/05/27-hcls-irc 15:06:03 scribe: matthias_samwald 15:06:22 TOPIC --- Datasets 15:06:39 vassil_momtchev has joined #HCLS 15:07:07 rrsagent, scribe: matthias_samwald 15:07:07 I'm logging. I don't understand 'scribe: matthias_samwald', matthias_samwald. Try /msg RRSAgent help 15:07:22 jun: we created a mapping between TCM and Entrez gene 15:07:32 i did some manual correction of the mapping 15:07:39 ... i did some manual correction of the mapping 15:07:51 ... anja also sent me some links today 15:07:58 ... she also linked to SIDER, drugbank 15:08:12 ... dataset quite well interlinked 15:09:19 ... anja encountered performance problems with running SILK over remote SPARQL endpoints 15:10:37 ... we have a rough idea of an interesting use-case in this area 15:11:01 ... we managed to submit an abstract to the DILS poster/demo session, we will get feedback at the end of this month 15:11:23 ... we investigate aTags to enrich the knowledge base with new statements 15:12:23 anja: i did not put use-case on wiki, proposed another small use-case related to TCM today via mail, will put it on the wiki later 15:12:39 ... for SILK, i had to put data into local SPARQL endpoint 15:13:16 ... performance not really an issue, datasets are not updated that often, letting SILK run for some hours is not that bad in this case. 15:14:01 ... had to use local SPARQL endpoint because public endpoints do not allow 7 million queries in a row... 15:14:58 scribeNick: matthias_samwald 15:15:19 anja: egon willighagen was excited about this new dataset 15:15:40 ... matthias and peter ansell were also working on SIDER in parallel. 15:16:17 ... i might also look into linking to LinkedCD 15:16:36 susie: LinkedCT contains new drugs, will there be much side effects data? 15:17:54 anja: there are also marketed drugs in LinkedCT 15:18:46 matthias: i am almost finished with converting SIDER to aTags, i am re-using the DBpedia and OBO URIs directly, should be complementary to the conversion of Anja 15:19:14 anja: I looked at the conversion script from peter ansell, don't know about the results 15:19:37 susie: a next step will be to think about additional datasets 15:20:47 bosse: i have not made progress with working on a query and identifying necessary datasets 15:22:53 susie: we should be able to pose new interesting questions based on the LOD we created 15:23:10 ... we are still lacking questions / necessary steps to utilize the data 15:24:00 jun: in the wiki page we are not giving enough demonstrations. we are just giving a description on how things are done by browsing different websites -- but we wwant to show how linked data can be used! 15:24:27 susie: bosse and i put together some top questions. 15:24:58 http://esw.w3.org/topic/HCLSIG/LODD/Questions 15:26:05 susie: (going through questions) 15:27:43 anja: we can give a summarisation of all active ingredients a company is working on / marketing 15:28:09 susie: can we link to pathways? 15:28:56 ... there is pathway information in some Bio2RDF datasets 15:29:58 matthias: the "Linked Life Data" datasets (LarKC / Astra Zeneca) should also have a lot of pathway data 15:32:09 susie: genes and proteins are often linked interchangegably, this could be an entry point. 15:32:41 vassil: hi, i am from ontotext, we are working with Bosse on Linking Life Data 15:32:54 ... we can work on interlinking / sharing identifiers 15:33:21 ... we can also look at user interfaces 15:33:39 ... just querying with SPARQL does not help 15:33:56 susie: i agree 15:34:43 vassil: we are planning to work on user interfaces 15:35:39 ... we should start from the other side -- developing interfaces for concrete tasks by researchers 15:36:23 matthias: could we use Ontotext LifeSKIM? 15:36:47 vassil: this is a bit more specialized, you cannot put arbitrary RDF into it 15:37:47 susie: it's a chicken and egg problem. has anyone else thought about the right order? 15:37:54 Zakim, who is talking? 15:37:54 sorry, matthias_samwald, I don't know what conference this is 15:39:07 vassil: we are looking at Exhibit 15:39:31 vassil: the idea is to run SPARQL queries, get back JSON, and render on screen 15:39:42 ... we hope to see results in 1 month 15:42:01 Zakim, list conferences 15:42:01 I see SW_HCLS(LODD)11:00AM, WAI_EOWG(BAD TF)11:00AM, SEC_WSCWG()11:00AM, HTML_Forms()10:45AM active 15:42:04 also scheduled at this time are W3C_(SearchComm)10:45AM, W3C_(ECTF)10:30AM, XML_Core()11:00AM, T&S_EGOV()11:00AM, XML_()11:00AM, Team_(SITE)11:00AM, MM_MMI(dialog)11:00AM, 15:42:06 ... GA_WebCGM()11:00AM 15:42:33 Zakim, this is SW_HCLS(LODD) 15:42:33 ok, matthias_samwald; that matches SW_HCLS(LODD)11:00AM 15:43:31 susie: (describes query 2 on the wiki page) 15:44:57 ... it seems to be a broad question... aggregate everything around a compound 15:46:23 ... questions 2 (How is this therapy/compound different from existing therapies/compounds) is too broad actually, i will move them down in the list 15:47:08 ... question 3 (What are our patients saying about our drugs) has a strong text mining component 15:49:22 Zakim, please dial ericP-office 15:49:22 ok, ericP; the call is being made 15:49:24 +EricP 15:49:35 ... another question: Who are the key opinion leaders for the therapeutic area? 15:49:47 vassil: we have pubmed, but not citation informatoin 15:49:59 matthias: we could ask anita de waard (elsevier) 15:50:07 susie: i will ask anita 15:54:04 ... question: Of drugs from either the same or different company for the same indication, are they approved in the same target region of interest – US or Global 15:54:12 susie: is this possible in SPARQL 15:54:33 ... ? 15:55:17 eric: not possible in a single SPARQL query 15:55:36 susie: this query seems to be quite tricky 15:55:52 ... especially the part about geography 15:56:09 bosse: the information is proprietary, but i am not totally sure 15:56:45 ACTION ITEM -- have a look whether WHO has useful data about geography of approved drugs 15:57:27 ACTION: bosse have a look whether WHO has useful data about geography of approved drugs 15:58:08 susie: in two weeks we will see how successful we were in looking into these questions 15:59:10 susie: question "are there natural alternatives to this drug?" -- can it be answered with the TCM dataset? 15:59:43 jun: i am a bit worried about the user interface for presenting query results, that might cost me more time 16:00:34 ... we might need to add some new information (via aTags) to make it useful 16:01:57 anja: you can use associations between genes and diseases, if a drug and a TCM drug are working on the same genes, this might be a hint 16:02:35 anja: we can define similarity, but we need to have a critical look at the validity 16:03:57 jun: the TCM people also used pathway information to validate 16:04:58 matthias: i can help in judging the validity 16:05:15 TOPIC --- triplification challenge 16:05:43 susie: maybe TCM? 16:05:50 anja: we need use-cases 16:06:32 bye! 16:06:34 - +1.610.651.aabb 16:06:36 - +46.4.63.3.aadd 16:06:37 - +03592490aacc 16:06:38 -??P14 16:06:39 - +049308385aaaa 16:07:27 zakim, list attendees 16:07:29 As of this point the attendees have been +049308385aaaa, +1.610.651.aabb, +03592490aacc, +46.4.63.3.aadd, EricP 16:07:38 rrsagent, generate minutes 16:07:38 I have made the request to generate http://www.w3.org/2009/05/27-hcls-minutes.html matthias_samwald 16:07:59 rrsagent, set logs world-visible 16:09:02 Zakim, bye 16:09:02 leaving. As of this point the attendees were +049308385aaaa, +1.610.651.aabb, +03592490aacc, +46.4.63.3.aadd, EricP 16:09:02 Zakim has left #hcls 16:09:06 rrsagent, bye 16:09:06 I see 1 open action item saved in http://www.w3.org/2009/05/27-hcls-actions.rdf : 16:09:06 ACTION: bosse have a look whether WHO has useful data about geography of approved drugs [1] 16:09:06 recorded in http://www.w3.org/2009/05/27-hcls-irc#T15-57-27