Topic map conversions of Gellish ontologies - Revision history

Akivela: /* Download Topic map conversions of Gellish ontologies */

2012-07-26T13:17:20Z

‎Download Topic map conversions of Gellish ontologies

Akivela at 08:29, 17 January 2010

2010-01-17T08:29:30Z

Akivela: /* Conversion details */

2009-06-18T19:38:50Z

‎Conversion details

Akivela at 08:44, 9 June 2009

2009-06-09T08:44:50Z

Akivela: /* Conversion details */

2009-06-09T08:41:17Z

‎Conversion details

Akivela at 08:40, 9 June 2009

2009-06-09T08:40:52Z

Akivela: /* Conversion details */

2009-04-22T07:04:47Z

‎Conversion details

Akivela: /* Conversion details */

2009-04-22T07:03:43Z

‎Conversion details

Akivela: /* Conversion details */

2009-04-22T06:54:02Z

‎Conversion details

Akivela: /* Conversion details */

2009-04-22T06:51:29Z

‎Conversion details

@@ Line 19: / Line 19: @@
 |width="200" | Occurrencies, including activities, events and processes
 | 8.0 (2008-04-21)
-| [http://www.wandora.org/wandora/download/other/gellish/activities.wpr Download] 751K
+| [http://www.wandora.org/download/other/gellish/activities.wpr Download] 751K
-| [http://www.wandora.org/wandora/download/other/gellish/activities.zip Download] 837K
+| [http://www.wandora.org/download/other/gellish/activities.zip Download] 837K
 |-
 | Aspects
 | Aspects, Properties, States, Qualities, Roles & Knowledge about facts
 | 8.0 (2008-05-21)
-| [http://www.wandora.org/wandora/download/other/gellish/aspects.wpr Download] 765K
+| [http://www.wandora.org/download/other/gellish/aspects.wpr Download] 765K
-| [http://www.wandora.org/wandora/download/other/gellish/aspects.zip Download] 773K
+| [http://www.wandora.org/download/other/gellish/aspects.zip Download] 773K
 |-
 | Documents
 | Documents, Data, Information & Encoding & Symbols & Annotation
 | 8.0 (2008-04-09)
-| [http://www.wandora.org/wandora/download/other/gellish/documents.wpr Download] 862K
+| [http://www.wandora.org/download/other/gellish/documents.wpr Download] 862K
-| [http://www.wandora.org/wandora/download/other/gellish/documents.zip Download] 891K
+| [http://www.wandora.org/download/other/gellish/documents.zip Download] 891K
 |-
 | Electrical
 | Electrical, Instrumentation, Control, IT, including Valves, Functions & Roles of Signals
 | 8.0 (2008-04-09)
-| [http://www.wandora.org/wandora/download/other/gellish/electrical_and_instrumentation.wpr Download] 1.2M
+| [http://www.wandora.org/download/other/gellish/electrical_and_instrumentation.wpr Download] 1.2M
-| [http://www.wandora.org/wandora/download/other/gellish/electrical_and_instrumentation.zip Download] 1.2M
+| [http://www.wandora.org/download/other/gellish/electrical_and_instrumentation.zip Download] 1.2M
 |-
 | Geo
 | Geographic objects and Lifeforms - Organisms, Persons and Organizations
 | 8.0 (2008-04-09)
-| [http://www.wandora.org/wandora/download/other/gellish/geographical_objects.wpr Download] 272K
+| [http://www.wandora.org/download/other/gellish/geographical_objects.wpr Download] 272K
-| [http://www.wandora.org/wandora/download/other/gellish/geographical_objects.zip Download] 292K
+| [http://www.wandora.org/download/other/gellish/geographical_objects.zip Download] 292K
 |-
 | Math
 | Mathematical & Geometric objects & Spatial Aspects
 | 8.0 (2008-08-03)
-| [http://www.wandora.org/wandora/download/other/gellish/mathematics_and_shapes.wpr Download] 1.0M
+| [http://www.wandora.org/download/other/gellish/mathematics_and_shapes.wpr Download] 1.0M
-| [http://www.wandora.org/wandora/download/other/gellish/mathematics_and_shapes.zip Download] 1.0M
+| [http://www.wandora.org/download/other/gellish/mathematics_and_shapes.zip Download] 1.0M
 |-
 | Physical objects
 | Physical objects, incl. radiation, fluid batches, static equipment, civil items, plants & process units, piping, connection & protection material
 | 8.0 (2008-05-14)
-| [http://www.wandora.org/wandora/download/other/gellish/physical_objects.wpr Download] 1.1M
+| [http://www.wandora.org/download/other/gellish/physical_objects.wpr Download] 1.1M
-| [http://www.wandora.org/wandora/download/other/gellish/physical_objects.zip Download] 1.2M
+| [http://www.wandora.org/download/other/gellish/physical_objects.zip Download] 1.2M
 |-
 | Qualitative aspects
 | Qualitative aspects & Qualitative information, Elements, Fluids, Solids and Waves, incl. Construction material
 | 8.0 (2008-04-21)
-| [http://www.wandora.org/wandora/download/other/gellish/qualitative_aspects.wpr Download] 2.4M
+| [http://www.wandora.org/download/other/gellish/qualitative_aspects.wpr Download] 2.4M
-| [http://www.wandora.org/wandora/download/other/gellish/qualitative_aspects.zip Download] 2.9M
+| [http://www.wandora.org/download/other/gellish/qualitative_aspects.zip Download] 2.9M
 |-
 | Roles
 | Roles of physical objects and roles of aspects
 | 8.0 (2008-04-14)
-| [http://www.wandora.org/wandora/download/other/gellish/roles_of_physical_objects.wpr Download] 2.6M
+| [http://www.wandora.org/download/other/gellish/roles_of_physical_objects.wpr Download] 2.6M
-| [http://www.wandora.org/wandora/download/other/gellish/roles_of_physical_objects.zip Download] 2.6M
+| [http://www.wandora.org/download/other/gellish/roles_of_physical_objects.zip Download] 2.6M
 |-
 | Rotating
 | Rotating Equipment, including Electrical machines, Transport equipment, (Un)Loading facilities, and Solids handling
 | 8.0 (2008-04-07)
-| [http://www.wandora.org/wandora/download/other/gellish/rotating_equipment.wpr Download] 641K
+| [http://www.wandora.org/download/other/gellish/rotating_equipment.wpr Download] 641K
-| [http://www.wandora.org/wandora/download/other/gellish/rotating_equipment.zip Download] 749K
+| [http://www.wandora.org/download/other/gellish/rotating_equipment.zip Download] 749K
 |-
 | Top
 | Upper ontology - Gellish grammar - TOP of specialization hierarchy + Extensions to Upper ontology - TOP of specialization hierarchy
 | 8.0 (2008-04-07)
-| [http://www.wandora.org/wandora/download/other/gellish/top.wpr Download] 885K
+| [http://www.wandora.org/download/other/gellish/top.wpr Download] 885K
-| [http://www.wandora.org/wandora/download/other/gellish/top.zip Download] 852K
+| [http://www.wandora.org/download/other/gellish/top.zip Download] 852K
 |-
 | Units
 | Scales and Units of measure + Scales and Units of measure - Special symbols (Unicode)
 | 8.0 (2008-08-03)
-| [http://www.wandora.org/wandora/download/other/gellish/units_of_measures.wpr Download] 590K
+| [http://www.wandora.org/download/other/gellish/units_of_measures.wpr Download] 590K
-| [http://www.wandora.org/wandora/download/other/gellish/units_of_measures.zip Download] 559K
+| [http://www.wandora.org/download/other/gellish/units_of_measures.zip Download] 559K
 |}

← Older revision		Revision as of 08:29, 17 January 2010
Line 1:		Line 1:
−	[http://en.wikipedia.org/wiki/Gellish Gellish], also known as STEPlib, is a controlled vocabulary used especially in engineering to specify products, facilities, and processes. Gellish vocabulary contains concepts and named binary relations between concepts. ~~Relation in~~ Gellish ~~is called~~ also ~~'''a fact'''. You could think of '''the fact''' similar to a RDF triplet. Addition to the triplet, a Gellish fact contains~~ meta data describing ~~fact~~'s discipline, definition, date of creation and modification, signature (originator), reference and status.	+	[http://en.wikipedia.org/wiki/Gellish Gellish], also known as STEPlib, is a controlled vocabulary used especially in engineering to specify products, facilities, and processes. Gellish vocabulary contains concepts and named binary relations, also called as facts, between concepts. Gellish relation contains also meta data describing relation's discipline, definition, date of creation and modification, signature (originator), reference and status.

	Gellish ontologies were converted to topic maps with Wandora's [[Gellish ontology extractor]]. Original Gellish ontologies (version 8.0) were downloaded from [http://sourceforge.net/projects/gellish/ SourceForge] March 2009.		Gellish ontologies were converted to topic maps with Wandora's [[Gellish ontology extractor]]. Original Gellish ontologies (version 8.0) were downloaded from [http://sourceforge.net/projects/gellish/ SourceForge] March 2009.

@@ Line 102: / Line 102: @@
 * Each line in extracted file represents one Gellish fact. Gellish fact has an identifier specified in column H. A topic is created for the fact. Topic's subject identifier and basename is derived from fact's identifier.
 * Each fact is basically a named binary relation.
-** Relation has name specified with columns I and J. Column I contains relation identifier and J relation name. A topic is created for relation name. Topic's subject identifier is derived from relation identifier. Topic's basename is derived from relation name and identifier.
+** Relation has a name specified with columns I and J. Column I contains relation identifier and J name of the relation. A topic is created for relation name. Topic's subject identifier is derived from relation identifier. Topic's basename is derived from relation name and identifier.
 ** Relation's left hand operand (player in Topic Maps world) has been specified with colums E and G. Column E contains left hand operand identifier and column G operand name. A topic is created for left hand operand. Topic's subject identifier is derived from identifier.
 ** Relation's right hand operand (player in Topic Maps world) has been specified with columns K and M. Column K contains right hand operand identifier and column M operand name. A topic is created for right hand operand. Topic's subject identifier is derived from identifier.
-To bind all topics created in previous steps, an quartet association is created. Association's type is '''fact'''. Association has four players with distinct roles:
+To bind all topics created in previous steps, a quartet association is created. Association's type is '''fact'''. Association has four players with distinct roles:
 * Fact topic with role '''fact'''.
@@ Line 136: / Line 136: @@
 |}
-When fact is converted to topics and assiciations, a separate topic is generated for both left hand concept and right hand concept although they essentially represent same Gellish concept. Left hand concept is set a subject identifier
+When this fact is converted to topics and assiciations, a separate topic is generated for both left hand concept and right hand concept although they essentially represent same Gellish concept. Left hand concept is set a subject identifier
   http://www.wandora.org/gellish/190699#0
@@ Line 152: / Line 152: @@
   conceptual process design (190699#1)
-If there already exists a Gellish concept topic with identical name, then it is used and no new topic is created. No explicit association is created to bind different topics representing same Gellish concept. One has to compare external representations of subject identifiers to deduce topics refer same concept. Also, note the URI fragment numbering starts from 0 (zero) and is increased by one each time the concept has different name. User should note that this numbering scheme has consequences in merging Gellish topic maps. If you merge Gellish topic maps, it is very likely that wrong topics representing equivalent Gellish concepts merge. The fragment numbering in first topic map is not equal to the numbering used in second topic map. If you wish to merge Gellish topic maps, you should convert all Gellish ontologies to be merged sequently with Wandora. The converter is included in next Wandora release.
+If there already exists a Gellish concept topic with identical name, then it is used and no new topic is created. No explicit association is created to bind different topics representing same Gellish concept. One has to compare external representations of subject identifiers to deduce topics refer same concept. Also, note the URI fragment numbering starts from 0 (zero) and is increased by one each time the concept has different name. User should note that this numbering scheme has consequences in merging Gellish topic maps. If you merge Gellish topic maps, it is very likely that wrong topics representing equivalent Gellish concepts merge. The fragment numbering in first topic map is not equal to the numbering used in second topic map. If you wish to merge Gellish topic maps, you should convert all Gellish ontologies to be merged sequently with Wandora.
 After fact topic and association creation, Wandora processes rest columns. Common procedure is to create either a topic or an occurrence for the column value and then associate (attach) the topic or occurrence to the created fact topic. Processed columns are
@@ Line 167: / Line 167: @@
 * Column Y with a fact collection name. Fact collection name is converted to a topic. Collection topic is associated with the fact topic.
-Remaining columns are '''not''' processed. One should note that at least column B with langugage of left hand object, columns F and L with operand cardinalities are '''not''' converted to topics and associations.
+Remaining columns are '''not''' processed. One should note that at least column B with language of the left hand object, columns F and L with operand cardinalities are '''not''' converted to topics and associations.
 Below is a screen capture of Wandora with '''Documents''' ontology. Current topic represents Gellish fact that says '''HTTP open SSL''' is a synonym of '''hypertext transfer protocol over secure socket layer'''. Fact's discipline is '''information management''' and fact is signed by '''Andries van Renssen'''.

@@ Line 1: / Line 1: @@
 [http://en.wikipedia.org/wiki/Gellish Gellish], also known as STEPlib, is a controlled vocabulary used especially in engineering to specify products, facilities, and processes. Gellish vocabulary contains concepts and named binary relations between concepts. Relation in Gellish is called also '''a fact'''. You could think of '''the fact''' similar to a RDF triplet. Addition to the triplet, a Gellish fact contains meta data describing fact's discipline, definition, date of creation and modification, signature (originator), reference and status.
-Gellish ontologies were converted to topic maps with Wandora's Gellish ontology extractor. Original Gellish ontologies (version 8.0) were downloaded from [http://sourceforge.net/projects/gellish/ SourceForge] March 2009.
+Gellish ontologies were converted to topic maps with Wandora's [[Gellish ontology extractor]]. Original Gellish ontologies (version 8.0) were downloaded from [http://sourceforge.net/projects/gellish/ SourceForge] March 2009.
 == Download Topic map conversions of Gellish ontologies ==

@@ Line 99: / Line 99: @@
 [[Image:Gellish_excel.gif|center]]
-First, these Excel spreadsheets were converted to tab delimited text. Then, these tab delimited texts were extracted using Wandora's Gellish ontology extractor (not available in current Wandora release). The extractor was programmed to convert these tab texts to Topic Maps format. The conversion process reads the tab text file one line at a time and converts the line to a fact topic, and consequently concept, date, etc. topics. In detail,
+First, these Excel spreadsheets were converted to tab delimited text. Then, these tab delimited texts were extracted using Wandora's [[Gellish ontology extractor]]. The extractor was programmed to convert these tab texts to Topic Maps format. The conversion process reads the tab text file one line at a time and converts the line to a fact topic, and consequently concept, date, etc. topics. In detail,
 * Each line in extracted file represents one Gellish fact. Gellish fact has an identifier specified in column H. A topic is created for the fact. Topic's subject identifier and basename is derived from fact's identifier.
 * Each fact is basically a named binary relation.

@@ Line 156: / Line 156: @@
 After fact topic and association creation, Wandora processes rest columns. Common procedure is to create either a topic or an occurrence for the column value and then associate (attach) the topic or occurrence to the created fact topic. Processed columns are
-* Column D with fact's discipline.
+* Column D with fact's discipline. Discipline is converted to a topic. Discipline topic is associated with the fact topic.
-* Column N with definition. One could think the column as a definition of right hand object but as the Gellish ontology format binds it to a fact, it was attached to the fact topic as an occurrence. Definition is converted to an occurrence.
+* Column N with definition. One could think the column as a definition of right hand object but as the Gellish ontology format binds it to a fact, it was attached to the fact topic as an occurrence. Definition is converted to an occurrence. Definition occurrence is attached to the fact topic.
-* Column O with full definition. Full definition is converted to an occurrence.
+* Column O with full definition. Full definition is converted to an occurrence. Full definition occurrence is attached to the fact topic.
-* Column R with remarks. Remarks are converted to an occurrence.
+* Column R with remarks. Remarks are converted to an occurrence. Remarks occurrence is attached to the fact topic.
-* Column S with status. Status is converted to a topic.
+* Column S with status. Status is converted to a topic. Status topic is associated with the fact topic.
-* Column U with date of start. Date is converted to a topic.
+* Column U with date of start. Date is converted to a topic. Date topic is associated with the fact topic.
-* Column V with date of latest change. Date is converted to a topic.
+* Column V with date of latest change. Date is converted to a topic. Date topic is associated with the fact topic.
-* Column W with change author. Change author is converted to a topic.
+* Column W with change author. Change author is converted to a topic. Author topic is associated with the fact topic.
-* Column X with reference author. Reference author is converted to a topic.
+* Column X with reference author. Reference author is converted to a topic. Reference topic is associated with the fact topic.
-* Column Y with a fact collection name. Fact collection name is converted to a topic.
+* Column Y with a fact collection name. Fact collection name is converted to a topic. Collection topic is associated with the fact topic.
 Rest columns are not processed. One should note that at least column B with langugage of left hand object, columns F and L with operand cardinalities are '''not''' converted to topics and associations.