OntologySummit2007 Survey/BobSmith

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Please make sure you refer to the Ontology Summit 2007 & OntologySummit2007_Survey pages for the full context of the input.        (1A1)


Question 1 Respondant Info     (1A2)

Name: Bob Smith, Ph.D.     (1A3)

Question 2 Affiliated - I am affiliated with the following constituencies/communities (please check all that apply)     (1A4)

[ ] Formal ontology communities     (1A5)

[X] Semantic Web communities     (1A6)

[ ] Linguistic communities     (1A7)

[ ] Concept Map community     (1A8)

[ ] Topic Map community     (1A9)

[ ] SEARCH communities     (1A10)

[ ] Web 2.0 communities     (1A11)

[ ] Thesauri community     (1A12)

[X] Taxonomy communities     (1A13)

[ ] Metadata communities     (1A14)

[ ] XML communities     (1A15)

[ ] Applications Development, Software Engineering and Information Model communities     (1A16)

[ ] System Architecture communities     (1A17)

[X] Biomedical communities     (1A18)

[X] Standards Development communities     (1A19)

[X] Other (please specify): Business Process and Project Management Communities     (1A20)

Question 2a Representing - I represent the perspective of the following constituency/community (please pick one; if you want to provide input from more than one perspective, please return a separate form):     (1A21)

[ ] 1. Formal ontology communities     (1A22)

[ ] 2. Semantic Web communities     (1A23)

[ ] 3. Linguistic communities     (1A24)

[ ] 4. Concept Map community     (1A25)

[ ] 5. Topic Map community     (1A26)

[ ] 6. SEARCH communities     (1A27)

[ ] 7. Web 2.0 communities     (1A28)

[ ] 8. Thesauri community     (1A29)

[ ] 9. Taxonomy communities     (1A30)

[ ] 10. Metadata communities     (1A31)

[ ] 11. XML communities     (1A32)

[ ] 12. Applications Development, Software Engineering and Information Model communities     (1A33)

[ ] 13. System Architecture communities     (1A34)

[ ] 14. Biomedical communities     (1A35)

[ ] 15. Standards Development communities     (1A36)

[X] 16. Other (please specify): BPMN, Decision Support Systems-Policy     (1A37)

Question 2b Specific Community     (1A38)

or sub-community I am affiliated with: Decision Support Systems, Business Rules,     (1A39)

Business Process, Business Intelligence     (1A40)

Question 2c Expertise Self Assessment - With respect to the perspective you are representing and providing input from, I am a/an:     (1A41)

[ ] 1. informed layman     (1A42)

[X] 2. practitioner     (1A43)

[ ] 3. expert     (1A44)

[ ] 4. other (please specify): (Not Answered)     (1A45)

Question 3a Ontology Value -     (1A46)

"Promise of the significant reduction in ambiguity and risk ignorance."     (1A47)

Question 3b Ontology Issues -     (1A48)

"Bridging the gap between stressed and busy mainstream business/government     (1A49)

people working with concrete "problems" and academic theory builders / Standards     (1A50)

developers with abstract "solutions"."     (1A51)

Question 3c Ontology Problems -     (1A52)

"Recognition of the economic and social benefits of increased interoperability     (1A53)

in organizations and associations involved with large systems, especially     (1A54)

international infrastructure (Educational networks, GIG, public health-pandemic     (1A55)

flu situational awareness, energy-water-food systems, and the congressional     (1A56)

staff members in the US's ability to reason more effectively about difficult     (1A57)

to quantify issues (Which are more expressable with semantic technologies than     (1A58)

in heated political debate)."     (1A59)

Question 3d Corresponding Solutions -     (1A60)

"Value-Knowledge-Problem "Couplers" for local community-based discussion and     (1A61)

arguments over quality of life variables. For example, Jon Bosak has evolved a     (1A62)

governance and research initiative called the Tompkins County Project that is,     (1A63)

essentially, the mother of all contingency scenarios. This works at the City and     (1A64)

County level. Another approach to improved local community consensus is a     (1A65)

Simulation Modeling project similar to the national health care debate funded     (1A66)

by the Markle Foundation a decade ago for policy impact analysis."     (1A67)

Question 4aGlossary - Ontology-related 'vocabulary' and representative 'artifact' from your constituency or community:     (1A68)

Term: Business Rule Design     (1A69)

Gloss: A framework for building multi-level conditional (If..Then...Else)     (1A70)

statements with an underlying ontology for connecting the antecedents     (1A71)

and the consequents     (1A72)

Reference (citation/url): http://www.BPTrends.com; ww.omt.org     (1A73)

Artifact (name/version): SWRL     (1A74)

- Artifact Ref. (url): http://www.w3c.org     (1A75)

Question 4a1 Called An Ontology - On a scale of 1 to 5, (where 1 means totally unlikely and 5 means almost always), would the above term or artifact be referred to as an "ontology" in your community?     (1A76)

[ ] 1. 1 - totally unlikely     (1A77)

[X] 2. 2 - rarely     (1A78)

[ ] 3. 3 - sometimes     (1A79)

[ ] 4. 4 - quite often     (1A80)

[ ] 5. 5 - almost always     (1A81)

Question 4a2 Additional Remarks -     (1A82)

"In the late 1980's I had a hard time teaching Business Strategy, MIS,     (1A83)

Expert Systems and Policy Audit classes to MBA students. My sense     (1A84)

is that with all of the conceptual mapping tools, and the evolving     (1A85)

ontology development/editing tools today, the problem of educating/exposing     (1A86)

executives to ontology based policy would be much easier. A recent PhD     (1A87)

dissertation by R.G., Vice President of Security for a large bank, reinforces     (1A88)

this notion. Getting high level enterprise policy aligned with employee     (1A89)

reward systems and middle management resource allocation processes seems     (1A90)

like a good thing, as long as the rules and the rules for rule making are     (1A91)

open and trust-worthy."     (1A92)

Question 4bGlossary - Ontology-related 'vocabulary' and representative 'artifact' from your constituency or community:     (1A93)

Term: Resilience     (1A94)

Gloss: The ability of an organization to bounce back from a disaster fast enough     (1A95)

and smart enough to avoid secondary effects.     (1A96)

Reference (citation/url): http://www.wiktionary.org     (1A97)

Artifact (name/version): The Edge of Disaster by Stephen Flynn     (1A98)

- Artifact Ref. (url): http://www.amazon.com     (1A99)

Question 4b1 Called An Ontology - On a scale of 1 to 5, (where 1 means totally unlikely and 5 means almost always), would the above term or artifact be referred to as an "ontology" in your community?     (1A100)

[ ] 1. 1 - totally unlikely     (1A101)

[X] 2. 2 - rarely     (1A102)

[ ] 3. 3 - sometimes     (1A103)

[ ] 4. 4 - quite often     (1A104)

[ ] 5. 5 - almost always     (1A105)

Question 4b2 Additional Remarks -     (1A106)

"I have encountered this term, Resilience, several times in the     (1A107)

last week: Steve addressed the So. California water buffalo groups     (1A108)

( Metro Water, San Diego Water, OC Water, etc.) about the dangers     (1A109)

inherent with the Sacramento Delta C-V water supply system.     (1A110)

The infrastructure is vulnerable, and if an earthquake hits     (1A111)

(Prob. of ~75% in 10 years) or a large flood occurs (more likely)     (1A112)

So. Cal'f 20+ million citizens are going to lose over 35% of their     (1A113)

water supply for at least 18 months. Currently there is no     (1A114)

"Resilience Level" metrics, but many folksonomies seem to be implicit."     (1A115)

Question 4cGlossary - Ontology-related 'vocabulary' and representative 'artifact' from your constituency or community:     (1A116)

Term: (Not Answered)     (1A117)

Gloss: (Not Answered)     (1A118)

Reference (citation/url): (Not Answered)     (1A119)

Artifact (name/version): (Not Answered)     (1A120)

- Artifact Ref. (url): (Not Answered)     (1A121)

Question 4c1 Called An Ontology - On a scale of 1 to 5, (where 1 means totally unlikely and 5 means almost always), would the above term or artifact be referred to as an "ontology" in your community?     (1A122)

[ ] 1. 1 - totally unlikely     (1A123)

[ ] 2. 2 - rarely     (1A124)

[ ] 3. 3 - sometimes     (1A125)

[ ] 4. 4 - quite often     (1A126)

[ ] 5. 5 - almost always     (1A127)

Question 4c2 Additional Remarks -     (1A128)

"(Not Answered)"     (1A129)

Question 4dGlossary - Ontology-related 'vocabulary' and representative 'artifact' from your constituency or community:     (1A130)

Term: (Not Answered)     (1A131)

Gloss: (Not Answered)     (1A132)

Reference (citation/url): (Not Answered)     (1A133)

Artifact (name/version): (Not Answered)     (1A134)

- Artifact Ref. (url): (Not Answered)     (1A135)

Question 4d1 Called An Ontology - On a scale of 1 to 5, (where 1 means totally unlikely and 5 means almost always), would the above term or artifact be referred to as an "ontology" in your community?     (1A136)

[ ] 1. 1 - totally unlikely     (1A137)

[ ] 2. 2 - rarely     (1A138)

[ ] 3. 3 - sometimes     (1A139)

[ ] 4. 4 - quite often     (1A140)

[ ] 5. 5 - almost always     (1A141)

Question 4d2 Additional Remarks -     (1A142)

"(Not Answered)"     (1A143)

Question 4eGlossary - Ontology-related 'vocabulary' and representative 'artifact' from your constituency or community:     (1A144)

Term: (Not Answered)     (1A145)

Gloss: (Not Answered)     (1A146)

Reference (citation/url): (Not Answered)     (1A147)

Artifact (name/version): (Not Answered)     (1A148)

- Artifact Ref. (url): (Not Answered)     (1A149)

Question 4e1 Called An Ontology - On a scale of 1 to 5, (where 1 means totally unlikely and 5 means almost always), would the above term or artifact be referred to as an "ontology" in your community?     (1A150)

[ ] 1. 1 - totally unlikely     (1A151)

[ ] 2. 2 - rarely     (1A152)

[ ] 3. 3 - sometimes     (1A153)

[ ] 4. 4 - quite often     (1A154)

[ ] 5. 5 - almost always     (1A155)

Question 4e2 Additional Remarks -     (1A156)

"(Not Answered)"     (1A157)

Question 4fGlossary - Ontology-related 'vocabulary' and representative 'artifact' from your constituency or community:     (1A158)

Term: (Not Answered)     (1A159)

Gloss: (Not Answered)     (1A160)

Reference (citation/url): (Not Answered)     (1A161)

Artifact (name/version): (Not Answered)     (1A162)

- Artifact Ref. (url): (Not Answered)     (1A163)

Question 4f1 Called An Ontology - On a scale of 1 to 5, (where 1 means totally unlikely and 5 means almost always), would the above term or artifact be referred to as an "ontology" in your community?     (1A164)

[ ] 1. 1 - totally unlikely     (1A165)

[ ] 2. 2 - rarely     (1A166)

[ ] 3. 3 - sometimes     (1A167)

[ ] 4. 4 - quite often     (1A168)

[ ] 5. 5 - almost always     (1A169)

Question 4f2 Additional Remarks -     (1A170)

"(Not Answered)"     (1A171)

Question 4gGlossary - Ontology-related 'vocabulary' and representative 'artifact' from your constituency or community:     (1A172)

Term: (Not Answered)     (1A173)

Gloss (definition): (Not Answered)     (1A174)

Reference (citation/url): (Not Answered)     (1A175)

Artifact (name/version): (Not Answered)     (1A176)

- Artifact Ref. (url): (Not Answered)     (1A177)

Question 4g1 Called An Ontology - On a scale of 1 to 5, (where 1 means totally unlikely and 5 means almost always), would the above term or artifact be referred to as an "ontology" in your community?     (1A178)

[ ] 1. 1 - totally unlikely     (1A179)

[ ] 2. 2 - rarely     (1A180)

[ ] 3. 3 - sometimes     (1A181)

[ ] 4. 4 - quite often     (1A182)

[ ] 5. 5 - almost always     (1A183)

Question 4g2 Additional Remarks -     (1A184)

"(Not Answered)"     (1A185)

Question 4hGlossary - Ontology-related 'vocabulary' and representative 'artifact' from your constituency or community:     (1A186)

Term: (Not Answered)     (1A187)

Gloss: (Not Answered)     (1A188)

Reference (citation/url): (Not Answered)     (1A189)

Artifact (name/version): (Not Answered)     (1A190)

- Artifact Ref. (url): (Not Answered)     (1A191)

Question 4h1 Called An Ontology - On a scale of 1 to 5, (where 1 means totally unlikely and 5 means almost always), would the above term or artifact be referred to as an "ontology" in your community?     (1A192)

[ ] 1. 1 - totally unlikely     (1A193)

[ ] 2. 2 - rarely     (1A194)

[ ] 3. 3 - sometimes     (1A195)

[ ] 4. 4 - quite often     (1A196)

[ ] 5. 5 - almost always     (1A197)

Question 4h2 Additional Remarks -     (1A198)

"(Not Answered)"     (1A199)

Question 5 Confirm Participation - where,     (1A200)

a 'convener' is a participant who provides substantive contribution to the Ontology Summit 2007     (1A201)

initiative (through the online discourse, this survey, and other events leading to or during     (1A202)

the workshops and the written communique process), and     (1A203)

a 'co-sponsor' is an organization who is providing technical or funding support (e.g. supporting     (1A204)

member(s) of its technical staff to participate as a 'convener'), and/or endorsing the objective     (1A205)

[ ] I agree that my name can be listed as a 'convener' of Ontology Summit 2007     (1A207)

[ ] I will consider endorsing the Ontology Summit 2007 communique. Please send it to me for     (1A208)

review when it is ready. I will confirm my endorsement after the review.     (1A209)

[ ] I confirm that you may list my organization as a 'co-sponsor' for     (1A210)

Question 5a Co-Sponsor confirmation:     (1A212)

Organization Name: Tall Tree Labs     (1A213)


This page has been migrated from the OntologWiki - Click here for original page     (1A215)

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