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Abstract: Ontologies and concept taxono mies are essential parts of the S ema ntic Web infrastructure. Since manual. In this paper, an approach for automatic d erivation of concept taxonomies from web. The method is based on generating derivative features from web search data and. Prediction results are used to gen erate concept taxonomies in OWL.

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Abstract: Ontologies and concept taxono mies are essential parts of the S ema ntic Web infrastructure. Since manual. In this paper, an approach for automatic d erivation of concept taxonomies from web. The method is based on generating derivative features from web search data and. Prediction results are used to gen erate concept taxonomies in OWL.

The results. The Semantic Web is a vision for the future of the. Web in which information is giv en explicit meaning,. A critical. Ontologies are needed for many. Semantic Web tasks such as fo r exchanging d ata.

Domain concept taxo nomies and onto logies are. Ontologies use classes to represent concepts and. The central. I n fact, many ont ology develo pment. Fernandez-L opez et al.

A taxonomy is a hierarch ical representatio n of. As suc h,. Properly structured taxono mies allow. There are m any different ways to construct a.

A taxonom y can be based on t he. All r ights reserved. The manual design and c onstruction of domain. Because of hum an expertise, the.

There fore, approac hes. Currently such approa ches are. Sanchez and Moreno, , w eb forms Roitm an. Automated techniqu es for ontology taxonomy.

Kashyap et al. Daille, ; Degeratu and Hatzivassiloglou, ;. Nakayama, 20 08; Pottrich a nd Pianta, 20 A trained classifier then ca n.

B ased. Clerkin et al. Etzioni et al. A description of the. We pr esent a methodology t o. The method ology is used to implem ent an agent for. The outline of the paper is as follows. Section 2. Finally, Sectio n 4 presents concl usions and di scusses.

Further we accept the following de finition of a. Taxonomy of concepts is a hi erarchical structure,. Hyponym y Fromkin and Rodman, i s the. For exam ple, red,. Therefore ,. In knowledg e representa tion and object-o riented. Is-a is a relationship where one class A is a subclass. Formally , subsumption is defi ned as follows: a.

We can formulate our task a s follows. Given a. C is a set of concepts, determine whether concepts A. The basis of our appr oach is the followin g. Since the expression of this functional. Now we can form ulate our task m ore detailed. Given a set of search queries Q and a set of logic.

B belonging t o a concept set C , where each query. N on concepts A a nd B , discover a taxonomical. We separate the solution to this. We assume that each co ncept is characterized by a. C oncept wo rds m ust satisfy the. Table 1: List of queries for web search engine.

Query name Formal. A standard w eb search engine i s used as the. A search. Consid ering our task. The list o f queries for. Restricts search to documents of the speci fied type. The data is furthe r processed. Each primary feature pair. Having 6 pri mary features t his procedure allows. Web mining results are further partitioned into.

The training dataset is used to train a. To avoid. Dataset usage fo r concept relati onship classificat ion. Search results on known. Figure 1: Dataset usage for concept relationship.

We provide a sm all example how a dataset is. First, concept word s that. Each pair. The results o f web search. Deriva tive. These derivative features are furt her used by a. Web search queri es. Primary feature s. Derivative fe atures. Figure 2: Example of dataset construction. For inferrin g relationshi ps between c oncepts, we us e. SVM requires that each data instanc e. First, SVM implicitly maps the training data. This decision surface can t hen be used as a. Y with Y y. Y is done by m eans of the.

In order t o classify a new point. SV are the support vectors,. The classificati on function i s further use d to. The obtained prediction resul ts are used to const ruct.

Language OWL. OWL is a sem antic markup.

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This application is a continuation of and claims priority to U. The following patent applications are related to the present application, are assigned to the assignee of this patent application, and are expressly incorporated by reference herein:. Installation of traditional PC applications requires physical media, such as a disk or CD-ROM that must be physically inserted into a computer in order for software to be loaded onto a user's computer. Typically, this process requires the user to enter settings information that can be confusing to the user. Once the software is installed, it is typically fixed in terms of its location and functionality.

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