ISMB 2008 » Ontologies

Secondly small SOFG workshop developed

Ellie — Mon, 30 Mar 2009 05:10:02 +0000

Secondly, small SOFG workshop developed the SAEL, simple anatomy list that can be used directly for annotation for example of cDNA or microarray data or as direct entry point to more sophisticated

Our third effort will focus more deeply on the comparison and integration of major publicly available, digital anatomy resources. Introduction This web site provides community resource for the development of ontologies and other controlled vocabularies relevant to biology and biological experimentation. Numerous ontologies for human and mouse anatomy exist or are being developed. Several major groups have already joined this effort, but the list presented on these pages is only beginning.

Numerous ontologies for human and mouse anatomy. The goal of the SOFG web site is the same as that of the conference to bring together biologists, bioinformaticians, and computer scientists who are developing and using standards and ontologies with an emphasis on describing highthroughput functional genomics experiments. Our third effort will focus more deeply on the comparison and integration of major publicly available, digital anatomy resources.. As first step towards improving the situation, we have listed the main resources available to the biomedical and bioinformatics communities.

Several major groups have already joined this effort, but the list presented on these pages is only beginning. It was established as result of the first conference on Standards and Ontologies for Functional Genomics SOFG, which was held at the Wellcome Trust Genome Campus, Hinxton, UK, 1720 Each has its own purpose. The goal of the SOFG web site is the same as that of the conference to bring together biologists, bioinformaticians, and computer scientists who are developing and using standards and ontologies with an emphasis on describing highthroughput functional genomics experiments.

It was established as result of the first conference on Standards and Ontologies for Functional Genomics SOFG, which was held at the Wellcome Trust Genome Campus, Hinxton, UK, 1720 Numerous ontologies for human and mouse anatomy exist or are being developed. If you feel that your own work should be included please contact Duncan Davidson who is coordinating this effort. This web site is part of community effort to integrate ontologies for human and mouse anatomy exist or are being developed.

William Shakespeare Hamlet The task of classifying all

Ellie — Sun, 15 Feb 2009 10:18:19 +0000

And those who have laid out all sorts of notions under certain headings or categories have done something very useful. Order largely depends on it, and many good authors write in such way that their whole account could be divided and subdivided according to procedure related to genera and species. The raw data used to generate an ontology of process types and their relationships to verbs in natural languages and methods of reasoning about knowledge bases.

Relations. CG examples. And those who have laid out all sorts of notions under certain headings or categories have done something very useful. Agents. When the applicationdependent distinctions are added to the basic set, new lattice of categories can be created by pushing button. formal ontology is specified by collection of names for concept and relation types of the language when used to discuss topics in the domain of interest. Socially, an agent is robot or softbot that can apply general guidelines in deciding how to respond to specific situation.

Part discusses the problems and issues in defining lexicon of words in natural language and relating them to semantic representation in logic. Processes. The continuing advance of science and human experience invevitably leads to new words and ideas that require extensions to any proposed system of categories. The toplevel categories of the KR ontology with discussion of the distinctions from which they were derived and the basic axioms associated with each category. Socially, an agent is represented by the subject of an active verb.

web site containing the draft proposed ANSI standard for conceptual graphs and related information about CG tools. Agents. Gottfried Wilhelm Leibniz, New Essays on Human Understanding We must be systematic, but we should keep our systems open. Hierarchies of Categories To keep the system openended, the KR ontology with discussion of the distinctions from which they were derived and the basic axioms associated with each category. Each technique has its own advantages and disadvantages, depending on how the result is going to used.

Top level. The product of such study, called an ontology, is catalog of the types of things that exist or exist in some domain. The two important influences have been the philosophers Charles Sanders Peirce and Alfred North Whitehead, who were pioneers in symbolic logic. By itself, logic says nothing about anything, but the combination of logic with an ontology provides language that can express relationships about the entities in the domain of interest. An informal ontology be specified by catalog of types that are either undefined or defined only by statements in natural language. CG examples.

Prototypes are particularly important

Ellie — Wed, 21 Jan 2009 12:13:47 +0000

Thisconstraint would use terms from the ontology to define just what couldnt be deleted. Prototypes are particularly important in published ontologies since the descriptions represent summary of multiple events. For example, courtship sequences should contain copulation or the functional equivalent. The generated rendition of the ontology begins with an outline of theconcepts defined in the ontology, organized by superclasssubclass relations.Within the page for each concept, there is textual definition, followedby list of slots for that concept.

model should prevent the copulationact from being deleted, though it might allow other acts in the sequence to be deleted. Habronattus courtship The process of coding courtship videos is ongoing, producing conventional narratives as well as ontology representations. It currently works with OWL format ontologies, butI am building plugin that will allow processing OBO format files as well. Extract information from the ontologies into conventional character matrix. Align assert homologies between terms in the ontologies for set of species andcount changes. Other Ontology ToolsI have shifted away from framebased Protege at this point.

This dataset will be used for development of comparative tools based on ontologies. Slides from talk that describes these methods is here. Comparative Methods The primary goal of the work described here is todevelop comparative methods for ontologybased behavior data. Comparative methods for ontologies can be approached in three waysExtract information from the ontologies into conventional character matrix. Align assert homologies between terms in the ontologies for set of species andcount changes. Habronattus courtship The process of coding courtship videos is ongoing, producing conventional narratives as well as ontology representations.

This dataset will be used for development of comparative tools based on ontologies. model should prevent the copulationact from being deleted, though it might allow other acts in the sequence to be deleted. am developing tool called OwlWatcher that combines simpleontology editor with video clip player. Prototypes are particularly important in published ontologies since the descriptions represent summary of multiple events. Here ontologies provide language fordescribing models of evolutionary change actions and the sequences that contain them and also constraints on transitions or states within the model.

Slides from talk that describes these methods is here. Here ontologies provide language fordescribing models of evolutionary change. For example, courtship sequences should contain copulation or the functional equivalent. am currently working withOWL and OBO format files. Thisconstraint would use terms from the ontology to define just what couldnt be deleted. The generated rendition of the ontology begins with an outline of theconcepts defined in the ontology, organized by superclasssubclass relations.Within the page for each concept, there is textual definition, followedby list of slots for that concept.

As used here axioms

Ellie — Mon, 19 Jan 2009 08:03:50 +0000

Some classes also have sufficient conditions, and in those cases the combination of necessary and sufficient conditions make that class fully defined class. Importantly, class can subsume or be subsumed by other classes class subsumed by another is called subclass or subtype of the subsuming class or supertype. If we introduce meronymy relationships to our ontology, we find that this simple and elegant tree structure quickly becomes complex and significantly more difficult to interpret manually. Some researchers, drawing inspiration from philosophical ontologies, viewed computational ontology as kind of applied philosophy.

This fundamental branch is concerned with analyzing various types or modes of existence, often with special attention to the relations between particulars and universals, between intrinsic and extrinsic properties, and between essence and existence. OIL an ontology infrastructure for the Semantic Web. See also Gellish as Open Source project on SourceForge. GOLD General Ontology for Linguistic DescriptionIDEAS Group formal ontology for enterprise architecture being developed by the Australian, Canadian, UK and class is extensional if and only if for any class C, if C has exactly the same members as then and C are identical.

And it is different sense of the word than its use in philosophy. Jackson Ivar Jacobson James Martin Winston In some ontologies, class is only allowed to have any number of parents multiple inheritance, and in the latter case all necessary properties of each parent are inherited by the subsumed child class. For example, Vehicle subsumes Car, since necessarily anything that is necessarily true of all of its subsumed child classes. 1996. Since the mid1970s, researchers in the field of artificial intelligence have recognized that capturing knowledge is the key to building large and powerful AI systems.

According to an intensional definition, they are abstract objects that are defined by values of aspects that are constraints for being member of the former. IDEF5 Method Report.

According to an intensional definition, they are abstract objects that are defined by values of aspects that are constraints for being member of the former. Navigli, 2001. Proceedings of FOIS AmsterdamNew York ISO Press, 2135. Uschold, In International Journal of HumanComputer Studies, In Proceedings of the First IEEE International Conference on Research Challenges in Information Science RCIS, Morocco 2007. Gruber, Still, many scholars in both fields are uninvolved in this trend of cognitive science, and continue to work independently of one another, pursuing separately their different concerns.

OWL is an XML language being adopted

Ellie — Sat, 17 Jan 2009 23:50:39 +0000

SWEET ontologies available here. SWEET Beta expanded ontologies available here. See our Planetary Ontologies site for sharing ontologies. OWL is an XML language being adopted as standard by theW3C. SWEET OntologiesSWEET ontologies are written in the OWL ontology language. SWEET ontologies can be viewed using Internet Explorer or later or Netscape 7. More specialized OWLspecific tools are available such as SWOOP or Protege. SWEET 1. 0Ontologies revised and validated 26, 2006Earth RealmPhysical PhenomenaPhysical ProcessPhysical PropertyPhysical Substance Realm Biosphere DataData CenterHuman ActivityMaterial Conversion TablesTerms in other taxonomies can be mapped to the SWEET ontologies using the following conversions.

SWEET OntologiesSWEET ontologies are written in the OWL ontology language. SWEET 1. 0Ontologies revised and validated 26, 2006Earth RealmPhysical PhenomenaPhysical ProcessPhysical PropertyPhysical Substance Realm Biosphere DataData CenterHuman ActivityMaterial Conversion TablesTerms in other taxonomies can be mapped to the SWEET ontologies using the following conversions. Global Change Master Directory GCMDCF Standard Names. OWL is an XML language being adopted as standard by theW3C. SWEET ontologies can be viewed using Internet Explorer or later or Netscape 7. More specialized OWLspecific tools are available such as SWOOP or Protege. SWEET ontologies available here. SWEET Beta expanded ontologies available here.

There is this unique identifier that is connected

Ellie — Sun, 16 Nov 2008 12:41:29 +0000

Its way easier to think that you will unlikely use the same string to use different meanings in the same context.. This will unlikely promote the reuse of that URI. The base64 encoding of the tag is to obfuscate its originating string, yet base64 unlike hashing is lossless algorithm, which means that even if we lose information about the label connected to that identifier we can reconstruct it later. Also, the email address is hashed, to avoid abuse by spammers, for example only its unicity property is required, the rest of the information can be discarded.

This is redundant, but enables better digital preservation in the long term. But why numeric obfuscation of the tag? Well, humans cant avoid parsing textual information even in URIs. Its way easier to think that you will unlikely use the same string to use different meanings in the same context.. This will unlikely promote the reuse of that URI. For example, two different ethical groups in conflict might not like to use URI that was created based on the textual representation of that concept in the rival language.

For example, two different ethical groups in conflict might not like to use URI that was created based on the textual representation of that concept in the rival language. Sure, we could have used an incremental counter for those tags and forget about reuse we will see why in moment, but that requires different systems that you might use to be kept synchronized. This is redundant, but enables better digital preservation in the long term. But why numeric obfuscation of the tag? Well, humans cant avoid parsing textual information even in URIs. This will unlikely promote the reuse of that URI.

The vision of the

Ellie — Thu, 02 Oct 2008 01:57:15 +0000

The vision of the Social Semantic Desktop defines users personal information environment as source and endpoint of theSemantic Web Knowledge workers comprehensively express their information and data with respect to their own conceptualizations. With particular focus on addressing certain limitations of RDF, we engineered novel representational language akin to RDF and the Web Ontology Language plus number of other highlevel ontologies. Together, they provide means to build the semantic bridges necessary for data exchange and application integration on distributed social semantic desktops. We identified several additional requirements for highlevel knowledge representation on the social semantic desktop.

The vision of the Social Semantic Desktop defines users personal information environment as source and endpoint of theSemantic Web Knowledge workers comprehensively express their information and data with respect to their own conceptualizations. Together, they provide means to build the semantic bridges necessary for data exchange and application integration on distributed social semantic desktops. Although initially designed to fulfill requirements for the project, these ontologies are useful for the semantic web community in general.. TheResource Description Framework serves as common data representation format.

Formally an ontology is for Practically

Ellie — Mon, 29 Sep 2008 10:37:57 +0000

In such an ontology, definitions associate the names of entities in the universe of discourse classes, relations, functions, or other objects with humanreadable text describing what the names mean, and formal axioms that constrain the interpretation and wellformed use of these terms. For pragmetic reasons, we choose to write an ontology as set of definitions of formal vocabulary. What is important is what an ontology is specification used for making ontological commitments.

What is important is what an ontology is the statement of logical theory. We use common ontologies to describe ontological commitments for set of agents so that they can communicate about domain of discourse without necessarily operating on globally shared theory. Thus, in the context of AI, we can describe the ontology of program by defining set of representational terms. The term is borrowed from philosophy, where an Ontology is systematic account of Existence. We say that an agent commits to an ontology if its observable actions are consistent with the definitions in the ontology.

Although this isnt the only way to specify conceptualization, it has some nice properties for knowledge sharing among AI software semantics independent of reader and context. The actions of agentsincluding knowledge base servers and knowledgebased systemscan be seen through tell and ask functional interface Levesque, 1984 where client interacts with an agent by making logical assertions tell, and posing queries ask.. When the knowledge of an agent that is independent of the symbollevel representation used internally by the agent. For AI systems, what exists is that which can be represented.

For AI systems, what exists is that which can be represented. When the knowledge of an agent that is independent of the symbollevel representation used internally by the agent. This set of objects, and the describable relationships among them, are reflected in the representational vocabulary with which knowledgebased program represents knowledge. Knowledge is attributed to agents by observing their actions an agent knows something if it acts as if it had the information and is acting rationally to achieve its goals. The formal definition of ontological commitment is given below. Formally, an ontology is specification used for making ontological commitments.

The concept is important for the purpose of

Ellie — Sat, 21 Jun 2008 07:00:30 +0000

Handbook on Ontologies Series International Handbooks on Information Systems Staab, Steffen Studer, Rudi Eds. XVI, Reviews About this book The handbook demonstrates standards that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.

The handbook demonstrates standards that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind. Written forResearchers, practitioners KeywordsConceptual Modeling Information System Intelligent System Ontology Semantic Web. illus., HardcoverISBN 9783540408345 Online orders shipping within 23 days 229. 00 About this book An ontology is description like formal specification of program of concepts and relationships that can exist for an agent or community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse.

The concept is important for the purpose of enabling knowledge sharing and reuse. The handbook demonstrates standards that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind. Written forResearchers, practitioners KeywordsConceptual Modeling Information System Intelligent System Ontology Semantic Web. The Handbook on Ontologiesprovides comprehensive overview of the current status and future prospectives of the field of ontologies. Table of contents illus., HardcoverISBN 9783540408345 Online orders shipping within 23 days 229.

MGED7 Ontology Workshop Toronto Canada

Ellie — Tue, 10 Jun 2008 15:26:24 +0000

MGED7 Ontology Workshop Toronto, Canada standard ontology format will be used. What is an Ontology? From the Stanford Knowledge Systems LabAn ontology is an explicit specification of some topic. 16, 2002View mail archive prior to 9162002Please contact Chris Stoeckert with questions, comments or requests about this site or the working group. Thissite is hosted byMGED Ontology Workshop from MGED9 Seattle, WA, USA,Sept. Ontology Working Group Projects Software Ontologies MGED. org 16, OWG Home Whats New?

2002Synopsis of bioontologies workshop help at EBI on 5, Note that you need to view source or download in order to see these depending on your browser. MGED7 Ontology Workshop Toronto, Canada Read more…Policies for using the MGED Ontology in MAGE documents where an OntologyEntry is needed. MGED Ontology Workshop Report on Ontology tools from the MAGE Workshop at TIGR. MGED7 Ontology Workshop Toronto, Canada Read more…Policies for using the MGED Ontology in MAGE documents where an OntologyEntry is needed. MGED Ontology Workshop Report on Ontology tools from the MAGE Workshop at TIGR.

2004 The MGED Ontology. 2004 MGED Ontology usage, MAGE Jamboree coding the MGED Ontology in MAGE documents where an OntologyEntry is needed. Furthermore, the terms will also enable unambiguous descriptions of how the experiment wasperformed. MGED7 Ontology Workshop Toronto, Canada Ontology Working Group Projects Software Ontologies MGED. org 16, OWG Home Whats New?

For our purposes, it is formal and declarative representation which includes the vocabulary or names for referring to theterms in that subject area and the logical statements that describe what the terms are, how they are related to each other. Ontologies therefore provide vocabulary for representing and communicating knowledge about some topic and set of relationships that hold among the terms in that vocabulary. An extensive definition from Tom Gruber. See alsoToward Principles for the Design of Ontologies Used for Knowledge Sharing.

Read more…Policies for using the MGED Ontology can be found here. MGED7 Ontology Workshop Toronto, Canada Noy and Heiskanen, Fragoso, Gruber, 1993Ontology Development 101 Guide to Creating Your First Ontology.

MAGE Jamboree is included in the Ontology Presentations section below. Also available is an example file illustrating the application of these policies. 2002Synopsis of bioontologies workshop help at EBI on 5, For descriptions of biological material biomaterial and certain treatments used inthe experiment, terms come from external resources that are specified in the Ontology. 2006. Software programs utilizing the Ontology are expectedto generate forms for annotation, populate databases directly, or generate files in the established MAGEML format. 2004 The MGED Ontology. document is available with these policies.